Startups & IPOs
AI companies getting started or going public.
Elimentary
Agents for post-investment operations in private capital, starting with .
- Founders
- Yogesh Gorjilla (UBS, Goldman Sachs, Flipkart and Jupiter), Mannat Saini (engineering at Goldman Sachs, Jefferies, Oracle and Flipkart), Manoj Sarda (Skit.ai cofounder; product at Jupiter.Money)
- The deal
- YC standard: $500K, as $125K for 7% plus $375K . Company-specific closing documents were not reviewed.
- Website
- elimentary.com
- Profile
- ycombinator.com
The new possibility is carrying irregular loan documents and operational messages into an auditable sequence of financial calculations. The founders have built credit products and know where operational exceptions accumulate. The case against: calculation software already exists, and an must establish reliable reconciliation and approval controls to replace manual work. The profile does not provide an independent audit of those controls.
Colmez
Connects regulatory and operating data for hazardous-waste businesses.
- Founders
- Rayhan Razzak (Stanford mathematics; SIG and Peak6 trading; Stanford AI research), Numair Razzak (Stanford economics; Antin Infrastructure, Ares Management and Nomura Greentech), Brian Meng (Berkeley mathematics and computer science; SIG and OMC trading; Berkeley AI research)
- The deal
- Speedrun standard: up to $1M, with $500K for 10% through a and another $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- colmez.com
- Profile
- speedrun.a16z.com
The opportunity is interpreting messy commercial and regulatory records together before waste-routing decisions are made. Numair’s operating exposure and the team’s experience analyzing waste companies offer a route to identifying costly exceptions. The objection is demanding: ordinary workflow software could already organize these records. Colmez must demonstrate that model-based interpretation adds reliable coverage without hiding a dangerous classification error. The profile does not establish that performance independently.
Space
A shared filesystem for people, applications and AI agents.
- Founders
- Matthew Ao (previously built eden.so), Ari Bapna (CTO; earlier background not stated in the profile), Jason Zhao (COO; earlier background not stated in the profile)
- The deal
- Speedrun standard: up to $1M, with $500K for 10% through a SAFE and another $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- getspace.so
- Profile
- speedrun.a16z.com
Agents working across creative applications make repeated copying of large assets a practical coordination problem. Ao’s earlier product experience offers a route to observing those workflows. Shared filesystems already existed; the investment case requires agent-specific permissions and concurrency to deliver a new advantage. The strongest objection is that cloud storage incumbents can add those controls while retaining existing customer data. The profile’s site link redirects to spacefs.com.
Cyclon
A phone interface in which agents control apps and background tasks.
- Founders
- Adam Zinebi (CEO; prior background not stated in the YC profile), Thomas Kiefer (CTO; prior background not stated in the YC profile)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific closing documents were not reviewed.
- Website
- cyclon.ai
- Profile
- ycombinator.com
The new possibility is using capable computer-use agents as the primary phone interface, carrying an intention across apps without a separate integration for every step. The profile confirms the founders but gives no prior operating background. The case against is distribution and reliability: mobile platform owners control permissions, and one incorrect purchase or message can erase the benefit of many successful taps. No independent device tests were reviewed.
Solidigm
SK Hynix storage subsidiary considering a public listing.
Reuters reports bank interviews and a possible 2027 offering raising $15 billion at up to $150 billion. Early plans; company declined comment. [B]
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OnePatch
Connects production monitoring with agent-assisted incident investigation and repair.
- Founders
- Shalin Patel (Waterloo computer science; on-call experience across nine engineering teams), Deep Utkarsh (Pocus agents; Sigma Computing AI platform and query compiler; Tufts cognitive science)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. No company-specific variation disclosed.
- Website
- onepatch.dev
- Profile
- ycombinator.com
The new opportunity is keeping production verification abreast of code written by agents. Patel’s on-call background points to the missing operational context; Utkarsh has built both agents and query infrastructure. The case against: an agent can misdiagnose a correlated failure and propose a harmful fix. The site describes read-only cloud access and a reviewed instrumentation pull request, so its broad repair ambition should not be read as unrestricted autonomous . No independent incident-resolution results were verified.
Island
Controls enterprise application and data access for people and AI agents.
Announced a $400 million Series F led by Evolution Equity Partners at a $6.4 billion . The bet is that browser-based controls can extend to agent work. Coverage outside the browser and independently measured error prevention remain the tests.
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BigHat Biosciences
Combines AI protein design with automated biological experiments.
- Website
- bighatbio.com
- Profile
- bighatbio.com
Closed a $75 million co-led by DFJ Growth and Premji Invest. Funding supports its data platform and therapeutic pipeline, including a program in . Clinical entry is a milestone, not demonstrated safety or efficacy.
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Acaysia
Builds an AI control layer over existing industrial reactor controls.
- Founders
- Andy Xian (Harvard statistics; Balyasny Asset Management internship), Achraf Zemzami (Audible; Harvard computer science and physics), Aias Tatsis (Harvard electrical engineering; built Acaysia’s physics engine and pilot plant)
- The deal
- Speedrun standard: up to $1M, with $500K for 10% through a SAFE and another $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- acaysia.com
- Profile
- speedrun.a16z.com
The opportunity is making learned process models and rapid simulation useful for online reactor control without replacing installed equipment. Tatsis’s work on both the simulator and physical pilot gives the team a way to test the gap between them. The case against: industrial optimization predates modern AI, and this company must prove a new advantage under changing process conditions and hard safety limits. Public profiles do not establish independent plant-scale performance.
The Company Company
Builds an agent and infrastructure intended to operate companies.
- Founders
- Julius Lipp (former Mixedbread CTO and co-founder; Google engineer; University of Hamburg and Trinity College Dublin)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. Company-specific variations are undisclosed.
- Website
- thecompany.company
- Profile
- ycombinator.com
The emerging opportunity is an agent that carries business state across tasks instead of answering isolated requests. Lipp’s retrieval-company background could help with the difficult question of which records an agent should trust. The case against: the public profile offers a broad ambition with no specific operating workflow or independently verified reliability result. This is an early thesis to watch, not evidence that a company can already run unattended.
Tekever
Develops AI-powered autonomous systems.
Announced the first close of a $580 million Series D at a $6.4 billion valuation, led by UC Investments and Baillie Gifford. This is private financing, not an IPO. Scaling physical systems still requires production and deployment evidence beyond a funding announcement.
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Hoid
Uses agents to search for model optimizations specific to the target hardware.
- Founders
- Momčilo Mrkaić (Databricks software engineer; Microsoft ML intern; City University of Hong Kong), Pavle Padjin (Tenstorrent AI compiler engineer; Cambridge AI MSc; Microsoft ML intern), Vladimir Zeljkovic (Tenstorrent AI compiler engineer; JOANNEUM RESEARCH ML intern; University of Belgrade)
- The deal
- SR007 standard: up to $1M, with $500K for 10% through a SAFE plus $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- hoid-ai.com
- Profile
- speedrun.a16z.com
The new opportunity is letting capable coding agents search and test hardware-specific optimizations that previously consumed scarce compiler-engineering time. The founders have worked on both model infrastructure and alternative accelerators. The case against: a faster can break numerical behavior or lose its advantage in a complete workload. Hoid needs independently reproducible end-to-end results across hardware, including the cost of finding the optimization.
Faraday
Connects industrial planning and business records to AI agents and robot execution.
- Founders
- Datta Kaligotla (founding engineer at Handshake AI; enterprise engineering at Microsoft, Endeavor and Boeing; quantitative work at Pretium Capital), Oscar Rangel (factory systems at Worthington Steel; medical devices at Stryker; projects for NASA astronauts)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. No company-specific variation disclosed.
- Website
- faradaycompute.com
- Profile
- ycombinator.com
The emerging opportunity is connecting language-driven work to robot execution and business records in a shared . Rangel’s factory systems background points at the difficult handoff between planning and the shop floor. The case against: most listed functions already exist in industrial software; the new agent layer must reduce integration work and exceptions enough to justify replacement. The profile and company site do not establish that advantage in production.
Basecamp Research
Uses biological AI models to design therapeutic candidates.
- Website
- basecamp-research.com
- Profile
- prnewswire.com
Announced a $140 million Series C led by S32 to train new EDEN models and advance therapies toward clinical development. The company reports results, not demonstrated benefit in patients. Funding does not settle that scientific test.
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Banbury Road
Research lab training cooperating groups of models.
- Founders
- Ed Li (Yale PhD program; mathematics and philosophy at Oxford), Cat Yan (mathematics and statistics at Oxford), Junyu Ren (University of Chicago PhD program; mathematics and philosophy at Oxford)
- The deal
- SR007 standard: up to $1M, with $500K for 10% through a SAFE and $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- banburyroad.ai
- Profile
- speedrun.a16z.com
The opportunity is training cooperation across models as a source of capability, now that agents can sustain longer research and engineering runs. The profile says the team previously built freephdlabor to automate research, giving it experience with evaluation beyond conversation. The case against: communication and verification costs can erase the savings from smaller models, and coordinated errors can survive peer review. Frontier performance and cost claims have not been independently established.
Switchfrog
Identifies agents using customer accounts and applies access rules to their web activity.
- Founders
- Tommy McCormick (CEO; prior education and employment not disclosed on the reviewed profile)
- The deal
- SR007 standard: up to $1M, comprising $500K for 10% through a SAFE plus $500K in the next round within 18 months. Company-specific terms are undisclosed.
- Website
- switchfrog.com
- Profile
- speedrun.a16z.com
The opportunity comes from browser agents inheriting a human session while consuming software in a different way. Switchfrog proposes detecting that handoff and converting repeated workflows into approved tools. The case against: distinguishing agents from legitimate human automation can produce false positives, and browser vendors can change the signals. The profile names only the CEO and supplies no prior background; detection accuracy is unverified.
Dreamscale Labs
Moves for large robot models into nearby cloud infrastructure.
- Founders
- Eric Ren (previously AI safety; employer not disclosed), Kevin Lin (former quantitative researcher turned roboticist; employer not disclosed), Antoine Nguyen ( research at UTS), Chris Yoo (networking certification and hackathon background; prior employer not disclosed)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K on an uncapped MFN SAFE. No company-specific variation disclosed.
- Website
- dreamscalelabs.com
- Profile
- ycombinator.com
The new opportunity is serving robot models whose compute requirements strain onboard hardware. Nguyen’s quantization work addresses that bottleneck directly. The case against: network outages and long-tail delays can break physical control even when average inference is faster. Customers need a local fallback and tests under poor connectivity. The company’s speed claims remain self-reported.
Intangible
Combines generative imagery with controllable 3D scenes and cameras for creative production.
- Founders
- Bharat Vasan (technology founder and CEO; former investor at TPB), Charles Migos (former design leader at Apple and Unity Technologies)
- The deal
- Company-specific terms are undisclosed. Speedrun currently publishes $500K for 10% through a SAFE plus $500K in the next round within 18 months; those terms are not verified for SR004.
- Website
- intangible.ai
- Profile
- speedrun.a16z.com
The current opportunity is combining generative output with directorial control that survives revisions. Migos has built tools for creative professionals, where camera placement and scene consistency determine whether a result can be used. The case against: established 3D editors can integrate the same models, and attractive renders do not establish reliable production assets. Test repeated camera and object edits on one scene.
Hopper
Post-trains speech models on production calls and serves them against live traffic.
- Founders
- Pavan Katta (led voice inference and at Salient; IIT Madras), Jashwanth Pedapudi (kernels engineer at Meta Reality Labs; IIT Madras electrical engineering)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. No company-specific variation is disclosed.
- Website
- withhopper.com
- Profile
- ycombinator.com
The bet is that current speech models make continuous adaptation to real calls useful enough to sell as infrastructure. Katta has operated voice inference, while Pedapudi brings low-level runtime experience. The case against: established speech providers can absorb the same feedback loop, and customer call data creates consent and evaluation burdens. Faster inference matters only if calls retain accuracy.
Changzhou Microintelligence
Industrial robotics company with an existing Hong Kong listing application and a reported completed overseas-listing filing.
Bamboo Works reports a regulatory notice published last Friday but dated August 24th. This records an existing application and clearance step, not a completed offering. The primary notice was not independently retrieved; offer pricing and a listing date remain unverified.
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Truli
AI-native compliance review for consumer packaged goods: checks labels, ingredient lists, claims and marketing content against regulatory requirements and recommends fixes.
- Founders
- Catherine Zhou (co-founder and CEO; background not stated on the profile), Michael Wu (co-founder and COO; background not stated on the profile)
- The deal
- Speedrun standard: up to $1M, as $500K for 10% via SAFE plus $500K into the next round within 18 months; company-specific terms are not disclosed.
- Website
- trytruli.com
- Profile
- speedrun.a16z.com
Label and claims review is bounded, text-heavy and repeated across thousands of SKUs, which is the shape of work current models actually finish, and it only became automatable when extraction and regulatory reasoning got reliable enough to trust on a printed label. The case against: the profile states no compliance or CPG background for either founder, a two-person team is selling into a liability function where the customer's lawyer still signs everything, and incumbent label-compliance vendors can bolt the same models onto existing rulebooks and relationships.
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ThirdBrain Labs
Post-training infrastructure turns expert decisions into improvements to domain-specific models.
- Founders
- Margaret Zhang (CEO; prior affiliation not disclosed on the reviewed profile), David Huang (CTO; prior affiliation not disclosed on the reviewed profile)
- The deal
- Company-specific terms are undisclosed. Speedrun currently publishes $500K for 10% through a SAFE, plus $500K in the next round within 18 months; application of those current terms to SR006 is unverified.
- Website
- thirdbrainlabs.ai
- Profile
- speedrun.a16z.com
The interesting claim is continuous capture of expert decisions while people work, reducing the cost of maintaining specialized models as capable base models become available. That is more specific than a service. The case against: feedback can encode inconsistent expert habits, and continuous updates need independent evaluation to avoid . Founder backgrounds and the actual investment terms remain undisclosed in the reviewed profiles.
The Subvocal Company
A silent-speech wearable worn under the chin that lets you talk to computers at voice speed without making a sound, imperceptible to people nearby.
- Founders
- Aarush Yadav (CEO; computer science, Georgia Tech), Arnav Kumar (CTO; computer science, Georgia Tech)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- subvocal.company
- Profile
- ycombinator.com
Dictating into agents is becoming the default input and speaking aloud is the bottleneck in every shared space, so the pull for silent speech is new even though MIT's AlterEgo demonstrated the sensing years ago. The case against sits in the company's own job posts: it is hiring a head of ML, a head of sensing and a head of hardware, meaning two CS graduates are recruiting the entire core stack of a neuromuscular-sensing product they have not yet demonstrated, while Meta's wristband and whisper-mode transcription squeeze the use case from both sides.
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Alkera AI
Data agents use and team knowledge to plan changes across a data stack.
- Founders
- Rick Gao (Verition Fund Management; Yale computational biology research), Tony Li (ByteDance agent workflows; Carthage Capital), Andrew Tran (Ramp and Hudson River Trading internships; Yale)
- The deal
- YC standard: $500K, comprising $125K for 7% plus $375K on an uncapped MFN SAFE. The profile discloses no company-specific variation.
- Website
- alkera.ai
- Profile
- ycombinator.com
Coding agents can now carry out data changes whose consequences extend far beyond one query. Alkera makes downstream lineage part of planning, drawing on the founders’ work with financial and production data. The case against: incomplete lineage can create false confidence, and warehouse vendors can add similar controls. The useful test is whether it catches a plausible transformation that silently changes a business metric.
Waddle Labs
Agents read camera feeds, write robot-control code and call existing models to produce reusable programs for physical tasks.
- Founders
- Hanming Ye (Harvard; topology research at MIT's Research Science Institute), Yiding Song, also Vincent (Harvard; astrophysics research at MIT's Research Science Institute)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. Company-specific variations are not disclosed on the profile.
- Website
- waddlelabs.ai
- Profile
- ycombinator.com
Better coding agents make it plausible to compose reusable robot skills without retraining a complete model for every setup. The founders describe skills carrying between tasks, a more specific thesis than adding a chat interface to a robot. The case against: physical resets, control and safety may dominate the cost of writing the program, and the claim of working across any robot remains unproven.
Power Dime
An AI-enabled platform for data-center energy procurement, automating the negotiation and diligence behind power purchase agreements and deals that conventionally run six to twelve months per deal. Techstars describes it as taking procurement from months to weeks.
- Founders
- Harleen Sindhu (CEO; 19 years in energy, led power procurement for AWS data centers across EMEA, founding team of Shell New Energies)
- The deal
- Techstars standard: $220K, as $20K for 5% common stock plus $200K on an uncapped MFN . No further raise stated on the cohort page.
- Website
- powerdime.io
- Profile
- techstars.com
Power procurement is the binding constraint of the buildout, the buyer universe just exploded from a few with in-house teams to a crowd of with none, and Sindhu ran exactly this function for AWS across EMEA. The case against: the real bottlenecks are interconnection queues and transformer lead times, which faster paperwork does not move; the biggest buyers keep procurement in-house; and LevelTen's marketplace and the CBRE and Schneider advisory teams already sit on the transaction. The cohort page names only the CEO, describing a CFO from fifteen years in investment banking without naming them.
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Ligent Technologies
Hisense-controlled maker of for AI data centers, selling 172 million shares at HK$32.96 to raise up to HK$5.7 billion, about $727 million, at roughly a HK$32.4 billion market value. About thirty took $340 million; first-half revenue RMB 5.39 billion, up 27.7%. Hong Kong debut expected September 22nd; Citigroup and CITIC Securities are joint sponsors.
The layer keeps listing through Hong Kong while the compute layer files in New York. Cornerstones at nearly half the base deal say institutional demand was arranged before the book opened, which is how Hong Kong de-risks a listing rather than a signal of open-market appetite.
LIAN Group search
Luxembourg-based AI and computing infrastructure developer, with projects including Norway's PolarDC and Israel's Anan, weighing an IPO of about $500 million in Europe or the US next year. Bloomberg reports it is working with STJ Advisors to hire banks; no final decision has been made.
Rumor of record per Bloomberg's sourcing. A $500 million European infrastructure listing is small next to Nscale, which is exactly why it is informative: the pipeline now has a mid-market tier forming behind the headline names.
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Hearvana
Real-time, on-device audio intelligence: models that isolate, interpret and manipulate specific sounds in noisy environments at earbud latency, rather than bluntly canceling noise. The commercial vehicle for the University of Washington lab behind the programmable sound bubble work published in Nature Electronics.
- Founders
- Shyam Gollakota (professor, Paul G. Allen School of Computer Science and Engineering, University of Washington), Malek Itani (embedded systems and audio AI, University of Washington), Tuochao Chen (embedded systems and audio AI, University of Washington)
- The deal
- AI House standard: up to $600K on a SAFE at a $10M cap, with 7% common stock for incubation. Hearvana announced a $6M in November 2025 co-led by Point72 Ventures and SCB 10X, with the Amazon Alexa Fund participating.
- Website
- hearvana.ai
- Profile
- aihouse.vc
The founders invented the field's headline results in their own lab, and shipping-quality neural sound separation inside an earbud's power budget only became feasible with the latest edge silicon, so the two-years-ago test passes cleanly. The case against: Apple, Google and Samsung own the devices, the silicon and world-class audio teams, the methods are published academic work, and a licensing startup lives on the platform owners' integration cycles.
AgentCat
Analytics for servers, Claude Connectors and ChatGPT Apps, with session and detection of where visiting agents get stuck.
- Founders
- Kashish Hora (previously led AI B2B at Grammarly/Superhuman), Naseem Alnaji (previously founded and exited Opal Security)
- The deal
- Speedrun standard: $500K for 10% upfront through a SAFE, plus another $500K in the next round within 18 months. Company-specific variations are not disclosed on the profile.
- Website
- agentcat.com
- Profile
- speedrun.a16z.com
Agents have become a new class of product user whose failures do not show up as ordinary clicks. The founders bring enterprise AI and access-security experience to a concrete question: why did a connector interaction fail? The case against: server traces may reveal too little of the visiting agent's goal, and incumbent monitoring vendors can add this view. Capturing useful traces also creates a data-handling burden.
ZeroDrift
Checks agent communications against organizational policies before sending.
- Founders
- Kumesh Aroomoogan (built financial-services language-processing products; prior company acquired by Wand AI in 2025)
- The deal
- Profile reports a $10M seed round in June 2026, without valuation or company-specific accelerator terms. Published Speedrun standard is up to $1M: $500K for 10% via SAFE, plus $500K in the next round within 18 months.
- Website
- zerodrift.com
- Profile
- speedrun.a16z.com
Autonomous agents now send communications at a rate that makes manual pre-send review impractical. Aroomoogan’s work with financial institutions gives the team experience with regulated text and evidence requirements. The strongest objection is that judging each message can miss a violation distributed across a longer workflow. Policy changes, false blocks and incomplete channel coverage could erase the labor savings. The profile describes intended enforcement, not independently established compliance.
Studio
Models how connected consumer groups respond to proposed market decisions.
- Founders
- Nikita Mullangi (human behavior and decision-making research at MIT; UC Berkeley computer science), Cameron Malloy (AI agents at GI Partners; financial contagion models at Nelumbium Capital; UC Berkeley M.E.T.)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- trystudio.ai
- Profile
- ycombinator.com
Agent models can now turn unstructured consumer evidence into interacting populations that respond to proposed decisions. Malloy’s contagion-model work is relevant to reactions spreading between groups. The objection is identification: reproducing a past campaign does not show what an untried price or product would cause. The profile contains differing accuracy claims without enough methodology to choose between them; neither is treated here as validated performance.
Parleo
Agentic commerce infrastructure: a protocol layer that lets AI agents transact on behalf of brands, rather than the brand hoping a shopping agent represents it correctly. Chicago; pilots being scoped with LVMH/Sephora and P&G per Antler's cohort page.
- Founders
- Samar Birwadker (3x founder with two exits; built a Visa card-linked cashback product to $25M and 15 million users with his co-founder), Elton Cheung (ex-Rakuten and Groupon)
- The deal
- Antler US standard: $250K at $2.75M post-money for about 9%; Antler's cohort page reports $1M closed on a $2M pre-seed, with Corazon Capital also invested.
- Website
- parleo.io
- Profile
- antler.co
Agent checkout only became a real surface this year, and Parleo bets brands will pay to control how agents transact with them instead of being flattened into a price row. The founders have shipped payments rails with Visa before, and Antler's page says the protocol has been validated with Visa, Stripe and Anthropic. The case against is heavy: OpenAI, Google and the card networks are standardizing agentic checkout themselves, and a two-sided protocol startup must win adoption before the giants finish writing theirs.
Marble
An AI-native operating system for the restaurant back-of-house: computer vision and voice for inventory, demand forecasting, and agents that place orders, build schedules and reconcile invoices. Renamed from Truffle.
- Founders
- Aakar Khanna (CEO; covered restaurants at Goldman Sachs, then Head of Strategy at Kouper), Arjun Chaliha (CTO; senior software engineer at Bloomberg leading AI/ML work)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- joinmarble.ai
- Profile
- ycombinator.com
Back-of-house is where restaurant software has always died: thin margins, greasy tablets, staff who will not learn a new tool. The bet is that vision plus voice removes the data-entry step that killed the last generation, and a founder who priced restaurant risk at Goldman knows exactly how thin the buyer's margin is. The case against: restaurant tech's graveyard is full of better mousetraps that could not survive 20-location pilots, and Toast owns the counter this system must plug into.
Mantic
Specializes to forecast events with scored probabilities.
- The deal
- $25 million seed round led by Radical Ventures; valuation undisclosed, Reuters reports.
Tournament outcomes offer a measurable test of forecasting, which is stronger evidence than a persuasive narrative. The commercial objection is distribution shift: business questions may be less clearly resolvable and more sensitive to strategic behavior than public tournament questions. A seed financing does not establish durable forecasting profits.
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Sentra
Shared organizational memory drawn from meetings, messages and agent execution records.
- Founders
- Ashwin Gopinath (MIT professor; Caltech and Google research; Reflexion framework), Andrey Starenky (AI engineering at IBM and Vapi; MIT machine-learning research)
- The deal
- Published Speedrun standard: up to $1M, with $500K for 10% via SAFE and another $500K in the next round within 18 months. Sentra’s specific SR006 terms are not disclosed.
- Website
- sentra.app
- Profile
- speedrun.a16z.com
Gopinath’s work on agent reflection gives the team a specific reason to care about remembered actions, beyond searching old documents. Longer-running agents now produce decisions and tool records that can become shared organizational context. The strongest objection is permission drift: yesterday’s accessible meeting can become tomorrow’s unauthorized memory after roles change. A useful system must forget or restrict information as reliably as it recalls it. The profile establishes the team and thesis, not measured improvements in cross-company coordination.
Raindrop
Agent reliability software.
- The deal
- CRV-led Series A; total funding reaches $50 million. Round size not separately disclosed.
The simulation preview expands the company beyond production monitoring. Adoption will depend on how faithfully simulated conditions reproduce customer systems.
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Hardware Intelligence
Agent-assisted chip simulation debugging and capture.
- Founders
- Athreya Anand (Google AI tech lead; Georgia Tech machine learning master’s), Rishov Sarkar (Georgia Tech chip-simulation PhD; AMD simulators and Siemens compilation)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- hardwareintelligence.ai
- Profile
- ycombinator.com
The founders connect chip-simulation knowledge with agents that can propose a fix and check its waveform after rerunning a test. Waveform compression alone could have been built earlier; the newer signal is making an agent operate that verification loop. Their diagnosis is specific: engineers need to trace a bad signal through enormous records, not merely generate more hardware code. The strongest objection is that a passing simulation can still miss a design defect, while established EDA vendors control the surrounding workflow. Vendor demonstrations do not establish production reliability.
D-Robotics
Chips and development software for robotics.
- The deal
- $400 million Series C, announced as closed on September 17th 2026. Valuation and the named identity of the strategic internet-company investor were not disclosed.
The financing supports a shared hardware and software supplier across robot categories. That can spread development costs over more than one robot maker. The objection is customer economics: component shipments do not show that customers can deploy profitable robots. The funding and shipment claims are from a company press release, not audited results.
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Shiraz AI
Factory robots that adapt to a changed task from one human demonstration.
- Founders
- Navid Aghasadeghi (productized Spot and led manipulation work at Boston Dynamics; Rethink Robotics), Mojtaba Hejrati (whole-body control and manipulation at Amazon Robotics; Northwestern research faculty)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- shiraz.ai
- Profile
- ycombinator.com
The founders have spent more than 20 years on deployed robotics and target high-mix factories where fixed automation breaks when the line changes. Stronger vision-language-action models make one-demonstration adaptation plausible now. The objection is reliability at the edge: a convincing demonstration does not show how the robot handles drift, novel obstructions or safety stops through a full production shift. Watch intervention rates and relearning time at customer sites.
Layrd
Automates medical pre-charting, fax triage and coding inside existing electronic medical records.
- Founders
- Tejasvi Chebrolu (healthcare AI researcher at Triomics; UT Austin), Abhijit Manatkar ( research at IBM Research; IIIT Hyderabad), Tattvam Nair (medical graduate of JIPMER)
- The deal
- Entrepreneur First says it invests up to $250K after a team forms. The company profile does not disclose Layrd's specific terms.
- Website
- thelayrd.com
- Profile
- joinef.com
The team combines healthcare AI research, language-model research and medical training around work that still arrives through faxes and fragmented records. Better document models make full workflow handling plausible now. The strongest objection is clinical liability: a missed result or wrongly filed document can harm a patient, and the company's claim of zero hallucinations is its own production metric. Watch edited and escalated cases, not documents processed.
Vereda
A WhatsApp procurement agent connecting Brazilian farmers with agricultural suppliers.
- Founders
- João Souza (farming family; agribusiness transactions at BTG Pactual; USC), Pedro Galindo (agricultural roots; technology investing at Patria Investments; USC)
- The deal
- Published Speedrun standard: up to $1M, with $500K for 10% via SAFE and $500K in the next round within 18 months. The profile does not disclose Vereda’s SR006 terms; these are a program reference.
- Website
- vereda.ia.br
- Profile
- speedrun.a16z.com
The founders bring agricultural distribution and investing experience to a specific bottleneck: purchasing intent arrives in informal conversations. A language agent can structure those exchanges without asking farmers to adopt another business system. The objection is that distributors also provide credit, delivery and trust. Removing their ordering work does not remove those obligations, and an incorrect product match can be costly. Watch whether the company improves the complete purchase, beyond generating a cheaper quote.
Temporal
Workflow software for recovering long-running applications and agent jobs.
- The deal
- $550 million raised at a $12.55 billion valuation, per Reuters on September 14th 2026.
The financing is reported as completed. Longer agent jobs create more opportunities for failures between model calls, making persistent workflow state commercially useful. The strongest objection is that cloud platforms can bundle similar recovery features. Funding does not establish profitability or an IPO timetable.
Palette
Generative media workflows that retain product and brand context across edits.
- Founders
- Josephine Lee (computer science at MIT; CEO), Serena Pei (computer science at MIT; CTO)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- palettelabs.com
- Profile
- ycombinator.com
The founders met in an art program and describe research experience in multimodal models and computer vision. Their diagnosis is that moving between creative tools loses brand context. Better controllable generation makes a repeatable production workflow more plausible now than a collection of isolated prompts. The objection is distribution: established creative suites can add the same context layer, while dependable brand fidelity still requires human review. The profile establishes the team’s thesis, not independently measured production quality.
Standard Machines
Training environments and evaluations for long-horizon AI chip design.
- Founders
- Jacob Peake (former architect at Apple)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- standardmachines.com
- Profile
- ycombinator.com
Peake’s Apple architecture work informs a specific complaint: short coding puzzles do not measure the iterative design loop or its power and area tradeoffs. More capable tool-using models make training across that loop plausible now. The objection is transfer: exact grading inside an environment does not establish that the resulting designs survive manufacturing constraints and production verification. This is an evaluation supplier, distinct from a company generating analog circuits.
Quantexa
Management is considering a UK or US listing and has not committed to a date.
Pipeline catch-up from Reuters’ August 19th interview with CEO Vishal Marria. He says the company could list in either country, both, or remain private. The report separately discusses a possible shareholder stake sale; that is not an IPO. No September decision deadline is supported by the interview.
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Firmus
Reported plans for an Australian listing; offer size and timing remain unconfirmed.
The Next Web’s September 14th report cites Bloomberg for a proposed raise of up to approximately $5 billion. The underlying Bloomberg report and currency basis were not independently verified. No offer price or listing date is established here. Retain as a sourced listing report, not a filing or completed raise.
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Bota
Hardware and infrastructure supplying real-world voice context to AI agents.
- Founders
- Ruming Zhen (Stanford Robotics, Tesla and Apple; previously YC), Qi Zhang (Amazon; previously YC)
- The deal
- Current published Speedrun standard: up to $1M, with $500K for 10% via SAFE and $500K in the next round within 18 months. The profile does not disclose Bota’s SR006 investment terms; this is a program reference, not a confirmed company deal.
- Website
- bota.dev
- Profile
- speedrun.a16z.com
The founders have built both hardware and infrastructure and previously sold a startup together. Their claim is that useful agents need context captured beyond the screen. Stronger voice and tool-using models make that input more actionable now. The objection is consent and relevance: recording more speech can add sensitive material without improving decisions. This is a capture-and-delivery bet, distinct from a speech that labels emotion. The profile supplies no independent evidence of decision quality.
WonderTx
Models and automated experiments aimed at finding oral drugs for targets without a chemical starting point.
- Founders
- Abraham Heifets (Atomwise co-founder; University of Toronto PhD; IBM Research). The profile also credits Saulo and Cam without giving their surnames.
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Individual variations are not disclosed.
- Website
- wondertx.ai
- Profile
- ycombinator.com
The claim to watch is generalization to targets lacking training examples, combined with an automated design-and-test loop. Heifets has already built a drug-discovery company; the profile identifies missing chemical starting points as the constraint this attempt addresses. Better agents and cloud labs make a tighter experimental loop plausible. The objection is biological: identifying a does not establish a safe oral medicine. The reported experimental validations remain company claims.
Kaaro
AI agents for railroad paperwork, incident reporting and billing.
- Founders
- Sai Surisetti (founding engineer at Toma; left the University of Waterloo), Gautham Venkateshwaran (founding engineer at Toma; left the University of British Columbia)
- The deal
- Published Speedrun standard: up to $1M, with $500K for 10% via SAFE and $500K in the next round within 18 months. Company-specific terms are not disclosed.
- Website
- kaaro.ai
- Profile
- speedrun.a16z.com
The founders are second-generation railroaders who also built agent software at Toma. That combination offers a reason to believe they know where railroad work escapes formal systems into calls and email. The new possibility is handling those unstructured exchanges across an operational workflow. The objection is reliability: an incorrect incident report or shipment update can propagate beyond the original conversation. Rail-specific exceptions and human review could absorb the labor the product promises to save.
Transwarp Technology
Hong Kong public offer opened September 11th; pricing and listing remain pending.
- The deal
- 14,010,800 offered at an indicative HK$49 to HK$61 per share.
The exchange announcement expects pricing September 17th and trading September 21st. Those dates are conditional. Track the final allocation and offer price before treating the proposed debut as a completed listing.
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Sotant
Agentic systems for supply-chain operations that learn by imitating expert operators.
- Founders
- Eduardo Candela (CEO; PhD in AI for autonomous vehicles at Imperial College London; operations research at MIT; co-founded Maihem, YC W24; Tesla and the Bosch Center for AI), Juan-David Rodriguez (COO; founded Teilur; growth at Investopedia, Stash and Springboard; CFA charterholder)
- The deal
- Speedrun's SR007 standard: up to $1M, as $500K for 10% via SAFE plus $500K into the next round within 18 months, per a16z's program page.
- Website
- sotant.com
- Profile
- speedrun.a16z.com
The method is the claim: from recorded expert workflows rather than prompted generalist agents, which is the technique Candela spent a PhD applying to driving, the original imitation-learning domain. Supply-chain ops is full of repetitive judgment calls that are demonstrated daily and never written down, which is exactly where imitation beats instruction. The objection is drift: enterprise processes change under the agent, imitation degrades silently off-distribution, and the AI-employee category is the most crowded in enterprise software. The profile's traction line, live with leading global enterprises, is the company's own.
Positron AI
Memory-focused hardware for serving AI models.
- The deal
- $875 million financing at a $5 billion valuation, according to Liberty Global.
The investment backs a route around constrained memory and packaging supplies. The next chip’s announced production schedule extends into the second half of 2027, leaving customers to weigh promised future capacity against systems they can deploy now.
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Mirrors
Regression testing for AI agents: rebuilds tools from production traces and replays real sessions against every code change.
- Founders
- Aryan Singhal (ML research at UT Austin and UCSB; six AI/ML papers in high school, three at NeurIPS). The profile lists a team of two but names no second founder.
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- runmirrors.com
- Profile
- ycombinator.com
Agent teams ship prompt and tool changes with no equivalent of a test suite, and the failures surface in production because the input distribution is real users, not fixtures. Replaying recorded sessions against every change is the obvious missing CI layer, and it could not have existed before there were production agent traces to replay. The objection is that replay tests a frozen world: tools, APIs and model versions drift, so passing yesterday's sessions proves less than it appears to, and the labs' own platforms could absorb this as a feature. A solo-led team of two against that race is the bet.
Krew
AI credit servicing for small consumer balances, with a broader regulated-workflow offering on its own site.
- Founders
- Michael Goh: speech-model benchmarking consultant for Amazon and Play AI; previously a consumer-fintech investor at Quest Ventures., Rafael Khaykin: worked on dexterity controls at Figure Robotics; left the University of British Columbia.
- The deal
- The EF profile does not disclose the investment amount, instrument or equity terms.
- Website
- withkrew.com
- Profile
- joinef.com
The bet is that conversational agents can handle variable servicing conversations within explicit contact and offer rules, beyond an old automatic dialer. Speech benchmarking and consumer-finance experience meet in Goh’s background. The strongest objection is economic: reviews, disputed balances and integrations may consume the saving on small accounts. Company-described controls are not an independent compliance assessment.
Halmos Labs
AI agents for scientific experiment design and research workflows.
- Founders
- Mattias Akke: machine-learning research at MIT and AstraZeneca; protein-misfolding research at Cambridge., Linus von Ekensteen Löfgren: desk quant at Danske Bank, AI-security research at AI Sweden and quantum research at Chalmers.
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- halmoslabs.com
- Profile
- ycombinator.com
The interesting bet is that agents can revise experimental plans as results arrive, rather than merely search papers. The founders combine biological modeling with quantitative and security work. The strongest objection is that useful plans still depend on noisy physical experiments: a convincing research proposal is not laboratory validation. The profile names Halmos Labs; its linked site uses Halmos Bio.
Altera
Reported preparations for a US IPO that could raise more than $2 billion.
Reuters cites sources describing preparations and a possible . The earliest reported timing is the end of 2026. These are sourced IPO plans, not proof that a registration has been filed or shares priced.
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Oruk
A speech API that returns how something was said: transcript plus emotion and speaking style.
- Founders
- Nathan Roll (co-founder and CEO; paused a Stanford Linguistics PhD; Stanford NLP, first-author EMNLP 2025 paper with Dan Jurafsky; founded Strype Analytics; data scientist at Nalu.ai). Other co-founders are not named on the profile.
- The deal
- The Speedrun profile does not disclose the investment amount, instrument or terms.
- Website
- oruk.ai
- Profile
- speedrun.a16z.com
Voice agents reached production before anyone solved , and the gap between a usable and an unusable agent is often tone rather than words. Roll's research background is the bet: his EMNLP work showed about 50 seconds of example speech cutting recognition error 19.7 percent, evidence the channel is learnable from little data. The profile claims a $250K in four months and the first selection for both a16z Alpha and Speedrun. The strongest objection is structural: frontier realtime models increasingly emit prosody and emotion natively, and Hume AI is an established incumbent, so a standalone analysis API may become a feature before it becomes a company.
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Maven Robotics
Industrial robot systems for material handling and assembly.
- The deal
- $100 million Series A, announced by the company; valuation and detailed terms not disclosed in the reviewed announcement.
The factory-level system scope is the reason to track the financing. Integration and service requirements can consume the savings from autonomous handling. The announcement does not provide an independently measured cost per completed task.
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EverSettled
AI infrastructure for administering inheritance and estate .
- Founders
- Arum Kempster (Velocity Black growth; death-policy work for the military and UK government), Jacob Effenberger (AI work at Man Group; death-logistics software; ETH Zürich master’s)
- The deal
- The EF profile does not disclose the investment amount, instrument or equity terms.
- Website
- eversettled.com
- Profile
- joinef.com
Kempster’s experience administering an estate gives the team a view of the handoffs that delay inheritance; Effenberger has worked on AI in regulated environments. Estate software could have existed two years ago. The newer bet is that models can interpret varied documents and coordinate the work at a lower service cost. The strongest objection is liability: a missed beneficiary or jurisdictional requirement can overwhelm the savings. The profile does not establish reliable autonomous settlement, so this remains an early deployment thesis.
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DeepMark
Embeds a verifiable identity into generated voice audio.
- Founders
- Slavko Kovačević (computer science PhD candidate; institution not disclosed in YC profile), Kosta Pavlović (computer science PhD; institution not disclosed in YC profile)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN. Company-specific variations are not disclosed.
- Website
- deepmark.me
- Profile
- ycombinator.com
Watermarking predates this AI cycle; the newer opportunity is authenticating live voice agents through ordinary phone connections. DeepMark places the identifier in audio so stripping file metadata does not remove it. That is a specific design bet, though the profile supplies no independent robustness test. The strongest objection is ecosystem adoption: an unverifiable call must remain usable, and compression or deliberate transformation may erase a marker. Founder research backgrounds are disclosed only at degree level.
Ayar Labs
Optical connections between AI chips; Series E extended by $150 million.
- The deal
- $150 million extension to the $500 million Series E announced in March, per Reuters.
The funding bridges development and manufacturing preparation. Commercial timing is the key risk: copper-based alternatives and other optical suppliers continue improving while this generation is being prepared.
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Sekkari
Photonic processors aimed at inference in autonomous systems and edge devices.
- Founders
- Heather Jones (radio-frequency sensors and onboard processors at MBDA; physics at Durham University), Gurneet Bhatia (signal-processing algorithms at Barclays; mathematics at Imperial College London)
- The deal
- The EF profile does not disclose the investment amount, instrument or equity terms.
- Website
- sekkari.co.uk
- Profile
- joinef.com
The emerging opportunity is inference for autonomous machines that cannot depend on a data-center connection. Jones has worked on sensors and onboard processing, where power and response deadlines constrain the architecture. Optical computing itself predates this AI cycle; the company must show an advantage on today’s model workloads. The strongest objection is that conversion, memory and control costs can erase a faster optical operation. The profile supplies no measured system-level gain, so this is a hardware thesis to watch, not a demonstrated discontinuity.
ORO AI
A changing and training-data loop for shopping agents.
- Founders
- Shardul Bansal (Crucible Labs founding engineer; AWS Cloud Map; distributed-training evaluation research at the University of Toronto), Seth Schilbe (AWS distributed systems; cofounder of the HomeWurk services marketplace)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. Company-specific variations are not disclosed.
- Website
- oroagents.com
- Profile
- ycombinator.com
Shopping agents create a new evaluation problem: inventory, prices and user constraints move while a benchmark ages. ORO proposes changing tasks and independent validators, with completed runs feeding training. The founders combine marketplace and distributed-systems experience. The strongest objection is incentive design: rewarding a high score can teach agents to exploit the validator instead of satisfying a shopper. The profile does not establish independent evidence that its rewards predict successful real purchases.
Mech-Mind Robotics
Industrial robotics and company listed in Hong Kong on September 1st under code 09615.
Added during the listing-pipeline sweep as an earlier September debut, not a new offering today. The IPO calendar identifies the company and the broker’s listed-security table confirms the trading date. Price performance does not establish the economics of its installations.
Excelland Robotics
Commercial-service robot maker listed in Hong Kong on September 9th under code 03231.
HKEX confirms the listing date and security code. This record uses the exchange to establish status; it does not infer profitability from the first-day move or conflate commercial-service robots with .
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XTEND AI Robotics
NYSE listing through a business combination, with associated financing reported closed.
Unusual Machines' announcement identifies XTEND as listed and says its additional investment is already included in the financing closed with the combination. This is a business-combination listing, not evidence of a conventional IPO . The source does not establish the first trading date or an opening share price.
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Sentient OS
Local overnight processing of personal context followed by user-approved computer actions.
- Founders
- Jesai Tarun (creator of the open-source Writing Tools assistant; on-device inference work), Aditya Vellanki (consumer products and decentralized protocols; enterprise software)
- The deal
- YC standard: $500K, comprising $125K post-money for 7% plus $375K on an uncapped MFN SAFE. Company-specific variations are not disclosed.
- Website
- sentient-os.ai
- Profile
- ycombinator.com
The recent capability bet combines compact local models, reused context and computer actions to prepare work overnight on ordinary Macs. Tarun has already built local writing software, giving the team experience with the constraints it is trying to remove. The strongest objection is the privacy boundary: the profile says some work still uses a customer's cloud-model subscription. Local preparation does not make every later action local. Reliability and battery costs are not independently established.
Nometria
Deployment and automatic maintenance for applications produced by AI coding tools.
- Founders
- Garima Mann (Booking.com AI infrastructure; Even Healthcare), Archit Sharma (Credwise cofounder; ML at Atlassian; data platforms at Walmart Labs)
- The deal
- The EF profile does not disclose the investment amount, instrument or equity terms.
- Website
- nometria.com
- Profile
- joinef.com
AI coding creates applications whose owners may lack the engineering skills to keep them running. Nometria bets that automatic maintenance can turn that new supply into durable businesses. The founders have operated real infrastructure and financial software, which is relevant to failure recovery. The strongest objection is service cost: unfamiliar generated code can turn every customer into a different debugging engagement. The profile states the product ambition but supplies no independent evidence that maintenance is reliably autonomous.
Orca Aerospace
Onboard AI spacecraft operations constrained by execution tools.
- Founders
- Jacob Ososke (Lockheed Martin , navigation and control; autonomous fault recovery), Hakan Chunton (MIT aerospace and computing degrees)
- The deal
- YC standard: $500K, comprising $125K for 7% and $375K on an uncapped MFN SAFE. Company-specific variations are not disclosed.
- Website
- orcaaerospace.com
- Profile
- ycombinator.com
The new bet is that language-model planning can make mission-level choices while established flight software constrains execution. Ososke's fault-recovery background is relevant to the boundary between those layers. The strongest objection is verification: a safe command interface does not prove that a sequence of individually permitted commands preserves the mission. No flight validation is established by the profile.
Nscale
Filed a public on September 18th 2026 for a NYSE listing under NSCL. First-half 2026 revenue of $140.6 million against a net loss of $1.02 billion; $103.4 billion in active and contracted value per CNBC, anchored by a $44.6 billion Anthropic contract and up to $43.8 billion from Microsoft; $3.1 billion of convertible notes issued, at least $1 billion to Nvidia. Last private valuation $14.6 billion in March 2026.
Upgraded from rumored on the public filing. The gap between contracted value and recognized revenue is the listing's whole argument, in both directions: the contracts say demand is priced, the loss says the capital to serve them has to be raised first. September 25th: announced $3.36 billion in convertible financing, including $1 billion from Nvidia expected in November. [A]
Mistral
Samsung-led €3 billion Series D at a post-money valuation above €21 billion.
Industrial backing supports the independent-deployment strategy. The announcement does not disclose investor ownership percentages.
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Helicon
Autonomous factories connecting engineering, manufacturing and inspection.
- Founders
- Alex Niehaus (Atoms automation; AI agent development at Arcane), Edmundo Sanz-Gadea (autonomous drones; large-scale AI training; robotic manipulation research at ETH Zurich)
- The deal
- Company investment amount, instrument and equity terms are not disclosed on the EF profile.
- Website
- heliconindustries.com
- Profile
- joinef.com
The recent capability bet is an automated loop spanning design through inspection, where each manufactured part can provide feedback to the next design. The founders combine agent workflows with physical autonomy. The objection is factory execution: better planning software cannot by itself eliminate material variation, tooling expense or qualification delays. The profile identifies a 2026 founding year but does not name its cohort or prove production-scale autonomy.
Lambda Robotics
Autonomous robots for the data centers and facilities that keep frontier AI compute running: inspection, maintenance and physical operations for hyperscale campuses.
- Founders
- Chen Peng (CEO; investment analyst at BlackRock, physics at UPenn, research at the GRASP lab), Yim Ying (full-stack robotics engineer, manipulation and manufacturing, MechE at UPenn), Liam Zhong (CTO; GRASP lab research in vision, control and , CVPR author and reviewer)
- The deal
- Not stated on the profile; YC's standard is $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- lambdarobotics.ai
- Profile
- ycombinator.com
The AI data center buildout is the largest wave in tech and its facilities face a physical-operations labor gap nobody was building robots for two years ago, because campuses at this density barely existed. The team pairs a GRASP-lab manipulation and RL core with a founder who priced infrastructure assets at BlackRock, an unusual fit for a market where the customer is a financier as much as an operator; six people and four open hardware roles suggest deployment intent. The case against: operators are extremely conservative about anything mobile near live racks, the environment favors fixed automation and DCIM software, and a vendor selling into data-center opex is levered to the exact buildout it is betting on.
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Gimlet Labs
Multi-silicon inference cloud splitting the phases of one workload across heterogeneous chips raised a $300M Series B led by Andreessen Horowitz at a $3B valuation, with Arm and Microsoft's M12 as new backers. Total raised $392M.
The thesis is that the Nvidia-only inference stack overpays once workloads decompose, and the cap table is the tell: Arm and Microsoft both win in a world where inference routes across many chips. Every dollar the token-price collapse squeezes from raw inference makes the routing layer above it more valuable; whether that layer stays a company or becomes a feature of every cloud is the open question.
Crusoe
Vertically integrated AI infrastructure builder and cloud serving OpenAI, Microsoft and Meta. Officially closed an initial $3.9B Series F on September 17th at a $30.9B post-money valuation, co-led by Atreides, Mubadala and Valor with Nvidia, Founders Fund, GIC, QIA, Radical Ventures and TPG; first reported at more than $3B in early September.
Tripled its valuation in ten months, claims over $140B in company-reported total contracted value and 6+ gross contracted capacity, and per TechCrunch has met investment bankers about an eventual IPO. The Jane Street contract at $13B over five years is the diversification argument against lab concentration; the truck-transportable Spark modules are the siting play.
AnalogCraft
AI-driven analog and mixed-signal chip design, compressing semiconductor design timelines from months to weeks.
- Founders
- Alex Gilman (CEO; 20+ years designing high-performance chips, fiber-optic comms at Maxim, DNA-sequencing chips at Roche), Unnamed CTO (has taken semiconductor products from definition to high-volume production, per the cohort page)
- The deal
- Not stated on the cohort page; Techstars' published standard program investment is $220K.
- Website
- analogcraft.ai
- Profile
- techstars.com
Analog design is the corner of chip design AI has barely touched: digital RTL has decades of Synopsys and Cadence automation while analog remains artisanal, and reliable constraint-satisfying generation over schematics only became plausible with 2025-26 models. A founder with twenty years across Maxim and Roche knows which sign-off steps actually bottleneck a . The case against: analog EDA is a small, brutally conservative market where the incumbents are shipping their own copilots, and fabless customers rarely bet a tape-out on a seed-stage vendor, so a great demo can still die waiting for one design win. The company site link comes from the Techstars page and answered with a bot block when fetched.
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Vorelios
Foundation models that learn physics end to end, replacing slow engineering simulations: the pitch is results 'in seconds, at a fraction of the cost,' with a claimed 1000x speedup over conventional solvers.
- Founders
- Daniel McNeil (co-founder and CEO; age 18 per the YC profile), Krish Kapadia (co-founder and CTO; age 19 per the YC profile)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- vorelios.com
- Profile
- ycombinator.com
Neural surrogates for physics only became credible at 2025-26 training scale, so the thing could not have been built two years ago, and a16z's Machine Age fund and Marengo's design-stage bet say the buildout's bottleneck is exactly the engineering cycle this attacks. The case against is heavy and specific: two teenage founders with no stated CFD or industry background, against Ansys, Cadence and PhysicsX, in a market where certification bodies buy error bars rather than speed, and the profile page states no customers, benchmarks or publications. The YC page lists ages and titles and nothing else about their background.
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Rhema Health
AI voice agents for Medicare patient intake: outreach, intake assessments that pre-read the chart, documentation and follow-up, producing clinician-ready summaries under HIPAA with clinician oversight.
- Founders
- David Clark Moore (ex-Meta), Adam Davison (ex-Meta; ran Reels monetization from $0 to $10B+, per the tracker)
- The deal
- Speedrun standard: up to $1M, as $500K for 10% via SAFE plus follow-on reserved to $1M; Rhema's specific terms are not disclosed.
- Website
- rhema.health
- Profile
- frontrun.vc
Voice agents good enough for regulated clinical intake are a post-2024 capability, and the founder thesis is the interesting part: consumer-engagement operators from Meta's Reels applying scaled outreach machinery to the population that answers the phone, Medicare patients. The case against is that Medicare voice AI is among the most crowded categories in health tech, with Hippocratic AI, Infinitus and Assort ahead on clinical distribution, sales run through risk-averse health systems, and one hallucinated intake answer is a regulatory event; ad-monetization DNA is not clinical-workflow DNA. Founder names are per Frontrun VC's SR007 tracker; the company's own site names nobody.
Simantic
Hardware and firmware simulation built so AI coding agents can develop embedded firmware: simulated targets give agents (and humans) visibility into hardware systems that previously required physical hardware-in-the-loop rigs.
- Founders
- Seungmin Hong (CEO; firmware at Tesla, Simbe Robotics and Rapyuta Robotics, ML at Ericsson; Waterloo computer engineering), Ahnaf Shahriar (CTO; embedded software on Neuralink's implant and charger, AI hardware on Tesla Dojo and Autopilot; Waterloo computer engineering)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- simantic.dev
- Profile
- ycombinator.com
The product exists because coding agents now write firmware and cannot run it against real hardware, a problem that did not exist two years ago, and the founders' Neuralink and Dojo firmware background is exactly the non-obvious knowledge the thesis needs. The case against: QEMU, Renode and Wokwi already simulate microcontrollers, an incumbent could bolt on the agent framing, and the moat question is peripheral and sensor fidelity, a brutal per-chip-family grind on which the silicon vendors hold the proprietary models.
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Enflame
AI chipmaker began trading on September 11th; first-day close 397 yuan versus a 142.18-yuan offer.
- The deal
- Tencent will hold 17.95% after the IPO and accounted for 83.79% of 2025 revenue as the largest end customer, according to the filing reported by Reuters.
- Website
- enflame-tech.com
- Profile
- marketscreener.com
September 11th 2026: listing completed. Reuters reports a 410-yuan opening and a close around 397; China Business Journal reports an exact 397-yuan close. An intraday high is not the closing price. Customer concentration remains a separate business risk.
Embrasure
Agentic data : agent 'Scouts' monitor production tables, investigate failed data-quality checks through column-level lineage across warehouses, dbt, Spark, Airflow and BI tools, and prepare validated patches routed to the owning team. The cohort listing pitches the larger ambition of a governable, agent-consumable data warehouse.
- Founders
- Jacob Kieser (ex Palantir and Uber), Victor Sunderland (ex OpenAI)
- The deal
- Speedrun standard: up to $1M, as $500K for 10% via SAFE plus follow-on reserved to $1M; Embrasure's specific terms are not disclosed.
- Website
- embrasure.ai
- Profile
- frontrun.vc
Data infrastructure that assumes agents rather than analysts are the primary consumers of enterprise data is a genuinely post-2024 thesis, and an ex-Palantir plus ex-OpenAI pairing is the right team to hold it. The case against is crowding and drift: observability is a consolidating category where Monte Carlo and Anomalo are entrenched and Datadog already bought Metaplane, agentic remediation is on every incumbent roadmap, and the gap between the site's modest observability pitch and the cohort list's autonomous-warehouse pitch says the story is still being found. Founder names and backgrounds are per Frontrun VC's SR007 tracker; the company's own site carries no team page.
Stability AI
The image-and-media model lab raised a $76M Series B on August 25th from Universal Music Group, Sony Music, Warner Music and Electronic Arts: the music industry and a game publisher buying a seat inside the generative company they might otherwise be suing.
The investor list is the story: all three major labels funding a generative-media lab reads as the licensing detente arriving by cap table rather than by courtroom, and EA's presence points the same tooling at game assets.
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Keythorn
An insurance layer for AI: technically assesses AI systems, certifies them against recognized standards, and places liability coverage so enterprise AI deals stalled on liability concerns can close.
- Founders
- Casey Tewey (co-founder and CEO; MIT Class of 2025), Michael Wong (co-founder and CTO; MIT Class of 2025)
- The deal
- Speedrun standard: up to $1M, as $500K for 10% via SAFE plus $500K reserved for the next round within 18 months; Keythorn's specific terms are not disclosed.
- Website
- keythorn.com
- Profile
- frontrun.vc
Agent liability insurance could not have existed two years ago because there were no agents transacting in the economy to underwrite, and whoever writes the first actuarial rulebook for agent risk gets a data moat that compounds. The case against is that two fresh MIT graduates with no stated insurance background are entering the most regulated, balance-sheet-heavy industry there is, cannot carry risk themselves, and Lloyd's syndicates, Armilla and Munich Re are already circling the same space. Batch membership per frontrun.vc's SR007 tracker; the company's own site says it is backed by a16z speedrun.
Hemlock
A wrist-worn surface-EMG bracelet that captures force data during human demonstrations for robot training, on the thesis that force cannot be reconstructed from kinematics: identical hand poses can carry wildly different force, so vision-only demonstration data is missing a modality robot need.
- Founders
- Julian Olschwang (solo founder; ECE at Carnegie Mellon, built GANs for military robotic data generation at the UCLA Biomechatronics Lab)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- hemlock.info
- Profile
- ycombinator.com
Robot-learning data collection is the pick-and-shovel trade of 2026, and force is the acknowledged missing modality: two years ago there was no VLA model to consume this data, so there was no company to build. The insight that force must be captured at demonstration time is non-obvious and specific. The case against is heavy: a solo founder, a team of one, selling hardware, in a sensing modality () that is notoriously noisy and person-dependent, to labs that may just instrument their grippers directly.
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Neurotype
An AI system for neurodiversity assessments that organizes case documents and drafts clinician-reviewed ADHD and autism diagnostic reports, cutting report-writing from 5-7 hours to under 45 minutes while keeping clinical oversight.
- Founders
- Dr Jan Cosgrave (clinical psychologist, PhD from Oxford, Fulbright scholar at Penn, NHS and academic background in ADHD and autism), Nadezhda Prodanova (MSc computer science from KIT and ETH Zurich, medical-grade AI systems and clinical data pipelines)
- The deal
- Techstars standard: $20K for 6% common plus a $100K convertible note; selected for the Techstars Healthcare Accelerator from more than 4,000 applicants.
- Website
- neurotype.uk
- Profile
- techstars.com
Diagnostic report-writing is the unglamorous middle of a real bottleneck: ADHD and autism assessment waitlists run to years in the UK, and the clinical hours lost to documentation are a direct cause. The founder pairing is the story here, an Oxford clinical psychologist and an ETH machine-learning engineer, which is the combination this kind of clinician-governed tool actually needs. The case against is regulatory and liability exposure: a report a clinician signs but an AI drafted sits in exactly the zone medical-device and malpractice frameworks are least settled on, and the 45-minute claim means little if the review to catch a wrong diagnosis takes the time back.
Marengo
An AI-native engineering firm that designs data centers, delivering site due diligence through front-end engineering and permitting in about half the usual time and cost, using internal physics-grounded AI design tools run by professional engineers.
- Founders
- Emil Ares (CEO; Cambridge-trained physicist, worked on magnets at the 1.4GW MagLab, former UK Space Agency, published on AI for complex-systems engineering), Gad Marconi (CTO; data-center infrastructure, deployed systems at the 25MW Flumenthal hydro plant in Switzerland, ex-AI engineer in nuclear and energy, TU Delft)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- marengox.com
- Profile
- ycombinator.com
The bet everyone is making, a16z's $1.1B Machine Age fund included, is that the buildout's bottleneck is physical and its engineering is slow. Marengo attacks the design and permitting stage directly, where a data center loses months before a shovel moves. The strongest case against is that a five-person firm selling to hyperscalers and their EPC contractors is entering a market that rewards track record over speed, and $4M in design partnerships is interest, not a moat. But if AI genuinely halves the front-end engineering cycle, that compresses the scarcest thing in the whole buildout: time to power-on.
Jio Platforms
The digital and AI arm of Mukesh Ambani's Reliance Industries, cleared by India's SEBI for an IPO that could raise about $3.8B at a valuation near $137B, which would be India's largest listing ever. Backed by Meta and Google.
- The deal
- SEBI issued final observations on August 28th; the offering is up to ~270 million fresh shares (about 2.9% of post-issue equity), with proceeds largely repaying Jio's borrowings.
- Website
- jioplatforms.com
- Profile
- indiaweekly.biz
Not an AI pure-play, but the distribution layer that decides whether AI reaches the next several hundred million users in the market OpenAI and Meta are both staffing to win. The listing also proves the Asian IPO window is open, which is the same window Moonshot and others are eyeing, so it is a read on the pipeline as much as on Jio.
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Inherent
A London AI lab building an 'AI scientist' agent, Faraday, that reproduces published research. On its own 310-task Replica benchmark, Faraday, built on a 27B Qwen base with GPT-5.5 Codex for coding, outscored Claude Opus 4.8 and GPT-5.5 at replicating results.
- Founders
- Edward Hughes (co-founder; ex-DeepMind), Tantum Collins (ex-DeepMind), Louis Kirsch (ex-DeepMind), Kaloyan Aleksiev (ex-Reka AI and Microsoft)
- The deal
- $50M seed led by Index Ventures, with Radical Ventures participating; team about a dozen, targeting 20-25 by year-end.
- Website
- inherent.com
- Profile
- techcrunch.com
The interesting claim is that a small open-base agent with the right scaffolding beats the frontier closed models at a specific scientific task, reproducing papers, which is the same wager Metis makes on coding. The case against is that a self-reported win on a self-built benchmark is marketing until an outside group runs it.
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Wrtn Technologies
South Korean multimodal consumer AI app maker; raised a $72M Series C at a valuation Bloomberg put at $870M (1.2 trillion won), the first Korean AI service startup to cross the trillion-won mark. Total funding now $167M.
New investors Coreline Ventures and Eugene Asset Management joined Goodwater Capital, Antler and the state-backed Korea Development Bank. The company says the money funds East Asia expansion, GPU capacity and its NLP engineering team, at a valuation more than five times its total funding raised.
GLACIS
Tamper-evident receipts for AI systems: a runtime layer that signs a record of what model ran, which guardrails executed, what consent was captured and what was decided, generated in under 50 milliseconds.
- Founders
- Joe Braidwood, CEO (former CMO of SwiftKey, acquired by Microsoft), Dr. Jennifer Shannon (FDA medical-device regulatory background), Rohit Tatachar
- The deal
- $575K pre-seed from Geoff Ralston's Safe Artificial Intelligence Fund, Mighty Capital, Sourdough Ventures and the AI2 Incubator; a seed round is targeted for later this year.
- Website
- glacis.io
- Profile
- aihouse.vc
Every post-incident report this month, OpenAI's included, turns on an unverifiable claim that the safety controls ran. GLACIS sells the receipt: cryptographic attestation per AI decision, starting in healthcare where a founder's FDA background reads as the actual moat. This could not exist before agents made per-decision liability real. The case against: compliance software sells when enforcement bites, and the administration is dismantling the state AI laws that would bite; the EU's Article 50 regime is the buyer that has to show up, and $575K is a small bet that it does.
Density AI
AI accelerators built on a hybrid memory architecture, 's near-memory compute combined with 's density, aimed at frontier-scale, long-context LLM inference.
- Founders
- Ganesh Venkat (Ganesh Venkataramanan, led Tesla's Dojo supercomputer program), Bill Chang, CTO (chief system engineer on Dojo), Ben Floering (silicon, SaaS and data centers at IBM, AMD and Tesla)
- The deal
- Terms not disclosed on the SPC profile; South Park Commons typically writes first checks in the $1M to $10M range.
- Website
- densityai.com
- Profile
- southparkcommons.com
The core Dojo team, out of Tesla and betting that the memory wall, not compute, decides inference economics: SRAM designs like Cerebras and Groq win on speed and lose on model size, HBM designs win on capacity and pay the scarcity premium Nvidia just surrendered margin to. A hybrid is the obvious move nobody has shipped. The case against: chip startups die in the two years between architecture and silicon, the HBM they still need is the market's scarcest input, and unconfirmed reporting has speculated Tesla itself as an acquirer, which would make this a reunion rather than a company.
Alice
AI trust, safety and security company (formerly ActiveFence): red-teams frontier models before release and runs runtime guardrails in production, drawing on a proprietary intelligence database built over nearly a decade tracking fraud, extremism and disinformation online. Raised a $140M round led by Apax Digital, total funding $280M.
CEO Noam Schwartz: "We are very quickly democratizing capabilities before we've democratized the defenses. This round is about closing that gap." The round closed the same week Cursor was used to breach seven companies and 116 companies asked frontier labs for exactly the kind of incident-time model access a vendor is built to provide.
Most Robotic
A two-person robotics research lab whose product, Instance, is a success detector for robot training: it watches a robot attempt a task and judges whether it worked, replacing the human sitting behind every evaluation run.
- Founders
- Claire Mao (CEO; MIT math and CS, ex-NASA JPL planetary-atmosphere simulation, MIT Media Lab aerospace research), Lucy Cai (CTO; MIT CS MEng in the Learning and Intelligent Systems lab; SpaceX satellite software, Amazon LLM testing, Blackrock Neurotech brain-computer interfaces)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- mostrobotic.com
- Profile
- ycombinator.com
Robot fleets scale by training volume, and evaluation is the part still done by a person watching. A success detector only became buildable when vision-language models got cheap enough to run per-episode, and the founders benchmark theirs against 10,000+ human-labeled episodes across seven robot platforms, claiming better accuracy than a frontier model at a fraction of the latency. The case against: success detection reads like a feature every robotics lab builds in-house, and the labs with the biggest fleets, the natural customers, are the likeliest to do exactly that.
KanopyAI
AI-powered powerline inspection and vegetation management for utilities, using computer vision over standard cameras instead of LiDAR flights, at a claimed 75% lower cost; six utilities have signed LOIs or MSAs covering 270,000 miles of line.
- Founders
- Yann (ex-McKinsey associate partner in energy, per Antler's profile, which gives no surname), Nicolas (ETH Zurich robotics, Cambridge multi-agent research, previously YC-backed, per Antler's profile, which gives no surname)
- The deal
- Antler US standard: $250K at $2.75M post-money for about 9%.
- Website
- kanopy-ai.com
- Profile
- antler.co
Vegetation contact is a leading cause of wildfire-linked outages, and inspection is bought in LiDAR flights priced per mile. The bet is that current vision models over commodity cameras finally match purpose-built sensors, which was not true two years ago, and 270,000 miles of scoped interest from six utilities says buyers want the cheaper answer. The case against: Overstory already sells satellite-based vegetation intelligence to utilities, GE Vernova bundles it into asset software, and utility procurement cycles can outlast a seed runway.
Gatik
Middle-mile autonomous trucking company running daily driverless routes for Fortune 50 retailers across Texas, Arizona, Arkansas and Canada; raised a $200M Series D led by Qatar Investment Authority and Koch Disruptive Technologies, total funding near $500M.
The autonomy segment where the economics closed first keeps compounding quietly: 85,000 fully driverless orders, more than $600M in contracted revenue, and sovereign-wealth money arriving at Series D rather than pre-revenue. Fixed routes between endpoints the customer owns is the template the companies still cannot match on cost per approval.
Emerald AI
Washington DC software company whose platform turns AI data centers into grid-responsive loads, throttling draw at peak and expanding when capacity is spare; raised a $150M Series A at $1.05B co-led by Energize Capital and DCVC.
A unicorn Series A for demand-response software says the binding constraint has moved to interconnection: the company claims flexible operation could unlock 100GW on the existing US grid, and it has five commercial demonstrations including a full data center flexing through California peak strain. The week's Texas queue freeze and PJM fight are the demand signal, priced.
Petrarch
Sources internal company data for frontier-lab training from bankruptcy courts: codebases, project files and payment records, de-identified and packaged.
- Founders
- Ian Lee (Meridian AI training-data infrastructure; Scale AI technical advisor), Samuel Hahn (Magier AI go-to-market; Mainstreet), Sudhish Swain (Clean Sweep Group head of software engineering)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- petrarch.co
- Profile
- ycombinator.com
Google paying $10 million for Spirit Airlines' emails established that bankruptcy estates hold the scarcest training input, authentic workplace text, and Petrarch is the first company built to make that trade repeatable, which is exactly what our open call 2026-08-18-B1 bets on. The case against is the legal exposure: privacy obligations survive a data-asset sale, courts are scrutinizing them harder, and one bad de-identification could end the company. Buyer concentration in a handful of labs cuts the other way.
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AirShelf
Agentic-commerce platform that makes merchant product catalogs machine-readable and transactable, so AI agents in ChatGPT, Gemini and Perplexity can discover and buy products, not just mention them.
- Founders
- Ashish Piplani (Grab, built GrabUnlimited; Lazada; Flipkart), Evgeny Oleynik (co-founder and CTO of 12GO, multi-country travel platform)
- The deal
- Antler US standard: $250K at $2.75M post-money for about 9%; AirShelf's own terms not disclosed, and its Singapore base may mean different program terms.
- Website
- airshelf.ai
- Profile
- antler.co
Selling through assistants only became a channel with this year's agentic-checkout push, and the founders' Grab, Lazada and Flipkart years are exactly where you learn how messy merchant catalog data gets at scale. They publish a public Product-Truth Benchmark rather than only marketing claims. The case against is existential platform risk: if OpenAI and Google ingest catalogs directly from Shopify and their own merchant programs, independent middleware gets commoditized overnight, and the crowded AI-visibility space next door is a warning.
XPeng Robotics
XPeng's humanoid unit raised over $900 million at a $6.3 billion post-money valuation, the largest single private round in China's embodied-AI industry: IDG Capital led, Gaorong joined, Tencent and Alibaba came in as strategics. IRON mass production is slated before year-end.
The carve-out structure matters more than the number: a listed EV maker spinning its robot unit into a separately financed entity with two hyperscale strategics is the standard pre-listing shape, and the stated capacity target, a thousand IRON units a month, would exceed Unitree's entire 2025 humanoid volume within half a year of hitting it.
Tandem
An AI knowledge layer for mechanical design: turns every CAD step into living documentation, then automates the engineering paperwork around it, ECO drafts, design reviews, drawings, DFM feedback and traceability records.
- Founders
- Kunal Jain (co-CEO; mechanical and AI engineering background at Boeing and Rolls-Royce per Antler's profile), Arjun (co-CEO; ex-Rolls-Royce and Boeing per Antler's profile, which gives no surname)
- The deal
- Antler US standard: $250K at $2.75M post-money for about 9%; Tandem subsequently closed a $4.7M seed with angels including the former CEOs of Autodesk and SolidWorks.
- Website
- tandem.inc
- Profile
- antler.co
Hardware engineering is where coding-agent economics have not arrived, because the artifact is a CAD tree plus a paper trail regulators actually read. Capturing design intent as it happens only became possible when models could watch CAD operations and write the ECO, and the founders lived the paperwork at Rolls-Royce and Boeing. The case against: Autodesk and PTC own the file formats and could ship this as a feature, and the angel list, two ex-CEOs of the incumbents, reads as both endorsement and acquisition foreshadowing. Named customers span diagnostics, satellites and pediatric heart devices.
Lamb Labs
Model Processing Units: custom chips that bake LLM directly into silicon, removing the memory-to-processor shuttle that makes GPU inference slow and hot. Claims 20,000+ a second and 63x more intelligence per watt, entirely local.
- Founders
- Thomas Lanning (CEO; Oxford physics PhD, machine learning for Higgs boson detection), Niki Kotecha (CTO; AI PhD from Imperial College London, published researcher)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- lamb-labs.com
- Profile
- ycombinator.com
This could not have existed two years ago: burning weights into silicon only makes sense once open models are good enough to freeze. That is also the strongest case against. A taped-out model can never be updated, and the frontier currently obsoletes itself every few months, so the bet is that edge, sovereignty and power-constrained niches will pay for a frozen model that is theirs. Two physics PhDs from Oxford and Imperial choosing London hardware over a lab job is itself a signal about where UK AI talent thinks the open ground is.
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Prior Foundry
Simulated publics for policy: a decision-intelligence platform that lets governments test how a real population reacts to a policy before it launches, built on generative-agent behavioral simulation.
- Founders
- Shirin Abrishami Kashani (CEO; Oxford MS, Stanford PhD as Knight-Hennessy Scholar, former OECD policy analyst advising governments), Keshav Sivakumar (CTO; second-time founder, Cambridge CS, ex-Palantir), Jonne Kamphorst (Chief Scientific Officer; former Stanford postdoc leading research in the lab that pioneered human behavioral simulation; LSE, Oxford and EUI, Fulbright Scholar)
- The deal
- Speedrun invests up to $1M plus $10M+ in credits per its program terms; company-specific terms not disclosed.
- Website
- priorfoundry.com
- Profile
- speedrun.a16z.com
The CSO ran research inside the Stanford lab that invented generative-agent simulation, the clearest worked-on-it-inside-the-lab in the cohort, paired with a CEO who advised the actual buyer at the OECD. The same technique Simile is now selling to Fortune 100s at a $2B valuation, pointed at governments instead. The case against is fundamental: there is no independent evidence yet that simulated publics predict real ones, LLM personas carry and training-distribution bias, and a wrong-but-confident policy simulation is worse than none, all before government procurement cycles slow everything down.
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Cerebras
Wafer-scale AI chip maker, listed on Nasdaq as CBRS in May at $185 a share. Its insider now comes apart in stages.
Early-release fall in August, September and October ahead of the roughly November expiry of the standard 180-day ban, a supply overhang arriving while retail enthusiasm from the CS-4 launch is still warm. The first AI-chip IPO of the cycle is about to show what insiders do when they are allowed to sell, and every later listing in the pipeline will be priced on the answer.
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83 Sciences
AI-native materials discovery powered by unpublished experimental data: mining the failed runs and shelved results sitting inside industrial labs that no web-scraped model can reach.
- Founders
- Ian Naccarella (CEO; MIT fellow commercializing lab IP, strategy manager at battery-materials unicorn Sila Nanotechnologies, ex-BCG; Stanford ChemE, Harvard MBA), Eric Riesel (CTO; MIT PhD in inorganic chemistry, built ML systems that analyze messy materials data; Columbia chemistry), Yankang Yang (COO; former BCG principal who led the firm's internal AI program to 30,000+ users; Harvard CS and EE)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- 83sciences.ai
- Profile
- ycombinator.com
The wedge is not another generative-materials model, it is the data nobody else can get: labs' unpublished and failed experiments, aimed at regulation-driven markets like PFAS replacement where buyers face deadlines. The case against is a graveyard: AI materials discovery has burned investors before, DeepMind's GNoME showed candidate generation is not the bottleneck, synthesis and qualification still take a decade, and the unpublished-data moat depends on labs granting rights to data they may consider proprietary or embarrassing, a heavy business-development motion for a three-person team.
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Starcloud
Orbital AI data centers: satellites that run inference in space on solar power, with two 8kW compute satellites planned for 2027 rideshares and a larger Starcloud-3 sized for Starship.
A $250 million Series A extension at a $2.3 billion valuation, about $420 million total, with Nvidia, Cisco, Benchmark, EQT and NFX aboard. CEO Philip Johnston is raising ahead of need because launch capacity is tightening; the constraint story has moved from power to permits to rockets in six months, and Starcloud is the second orbital-compute raise in two days after Muon Space's $250 million.
Rillet
AI-native accounting ERP built to replace NetSuite-class systems, automating ledger work with agents; $100M Series C at a $1B valuation led by ICONIQ.
Third round in a year, closed in under 48 hours from a company that was not raising, on revenue that doubled last quarter, public-company customers, and an EY alliance that brings its automated ledger into audit work. Accounting keeps converting to agents faster than flashier categories because the work is rule-bound, auditable and understaffed.
Inkbox
The identity and communication layer for AI agents: each agent gets a persistent email inbox, phone number, iMessage access, webhook address and an encrypted credential vault with TOTP support.
- Founders
- Ray Liao (CEO; MIT computer science PhD; co-founded Empallo, an AI cardiovascular virtual clinic), Alex Wilcox (CTO; MS Northeastern; ML engineering and computer networking research), Dima Vremenko (built ML pipelines at Harvard Medical School; BS Northeastern in biochemistry and computer science)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- inkbox.ai
- Profile
- ycombinator.com
Agents that act like employees need what employees have: an address, a phone number, credentials, and a way to reach each other, and today that means borrowing a human's accounts against most terms of service. Two years ago there was nothing to identify. The case against is sharp and worth stating: an identity layer for agents is also infrastructure for spam and fraud at machine scale, and the same vault that holds an agent's tokens is a single point of catastrophic compromise. Whether platforms treat agent identities as customers or as a botnet decides the company.
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Galvano AI
Agentic electronics design: turns product requirements into complete schematics using verified purchasable components, with datasheet-grounded review, BOM optimization and export to , Altium and EasyEDA.
- Founders
- Radu Berdan (founder; PhD, Imperial College London, in memristive systems; founded ArC Instruments; neuromorphic computing and AI accelerator research in Japan)
- The deal
- Techstars Tokyo terms, per the cohort announcement: $220,000 in capital across the 13-week program.
- Website
- galvano.ai
- Profile
- techstars.com
Hardware design is the layer of the AI boom still done by hand: schematics drawn in tools whose workflow predates the web, against supply-chain data that goes stale weekly. A founder who spent a career in semiconductor research is betting language models can draft and verify circuits the way coding agents draft software, grounded in datasheets rather than vibes. The case against: Cadence, Synopsys and Altium own the file formats and the installed base, Flux has a two-year head start on AI-native PCB design, and electronics engineers punish tools that hallucinate a wrong component harder than software ever does.
Precognition Labs
Agentic AI systems for trust-and-safety, fraud and risk operations: agents that augment human review teams and add investigation capacity where platforms currently ration it.
- Founders
- Suhas Manangi (Head of Product for Trust & Safety at Snap; previously Airbnb's AI/ML platform for Trust, plus Amazon, Lyft and Microsoft), Xiuduan Fang (co-founder and CTO; led Trust & Safety engineering at Snap)
- The deal
- Antler US standard: $250K at $2.75M post-money for about 9%.
- Website
- precognitionlabs.ai
- Profile
- antler.co
The two people who ran Snap's trust-and-safety product and engineering are betting that T&S review, an expense every platform rations, becomes an agent workload, and new strict-liability laws like Minnesota's nudification ban keep raising the price of rationing it. They know where the review queues actually break, which is not public knowledge. The case against: every model provider and every large platform is building safety tooling in-house, and a startup selling picks between those two armies needs the mid-market to care about T&S before regulators force it to.
Moonshot AI
Kimi maker submitted a confidential listing application to HKEX on September 3rd, targeting a raise of about $3B at a roughly $50B valuation, with Goldman Sachs, CICC and Deutsche Bank on the deal.
Rumor became filing on September 3rd, per Reuters and TechNode: a confidential , filed after Moonshot unwound its offshore structure and redomiciled onshore. ARR tripled from $100M in March to $300M in June on the Kimi K3 launch, and the reported hyperscaler revenue-sharing talks from August are now part of the story. If the listing completes, the first frontier-scale Chinese lab reaches public markets financed substantially by giving its flagship away.
Dexmal
Chinese embodied-intelligence company building the decision and execution layer for industrial and logistics robots, combining LLMs, vision models and reinforcement learning rather than building hardware. In a new round targeting a 20 billion yuan ($3B) valuation.
Founded by Tang Wenbin, previously backed by Alibaba, NIO Capital and Chinese AI lab Zhipu (Z.ai). One of the quieter rounds inside China's robotics boom, funded the same week as Unitree's post-IPO pop and the World Humanoid Robot Games, on the software-over-hardware bet that decision-making, not actuators, is the scarce layer.
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Conifer
Local-first AI routing: directs each request to the cheapest viable option, usually the user's own hardware, with a inference engine the team says decodes up to 60% faster than llama.cpp on Apple Silicon, and claims of up to 80% lower token spend.
- Founders
- Michael Jeffords (ML and clinical research; founded The HeartCheck Foundation), Charles Muehlberger (edge AI acceleration and multimodal inference), Yavuz Inan
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- conifer.build
- Profile
- ycombinator.com
The consumer-hardware mirror of the routing thesis Callosum just raised $100M to run in datacenters: laptops and phones now carry usable models, so the cheapest inference for many requests is the machine already on your desk, and a local-only mode doubles as a privacy product for sensitive data. Could not exist two years ago; consumer silicon could not run models worth routing to. The case against: the arbitrage is priced by other people, since every frontier API price cut shrinks the saving, and Apple can absorb the on-device half into the OS whenever it chooses.
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Callosum
London startup building heterogeneous-intelligence infrastructure: software that routes each AI task to the model and chip that runs it cheapest, fastest or most energy-efficiently. Raised a $100M seed led by Atomico with Plural, DCVC and the UK Sovereign AI Fund, that fund's first investment.
Founded 2025 by neuroscientists Danyal Akarca and Jascha Achterberg; about $110M raised in total after a $10.25M Plural pre-seed in February. One of Europe's largest seeds, and a policy statement: Britain's sovereign fund opened with the routing layer rather than a model or a . The crowded part of the market: OpenRouter just sold to Stripe for the same thesis one layer up, and Callosum's chip-level version has to beat every inference provider's own scheduler.
Astromech
Colossal Biosciences spinout building AI that predicts how biological systems change over time, trained on genomic data across species and deep evolutionary history. Raised $20M led by Bob Nelsen at a $3.8B valuation, with Peak 6, NeoGenesis Capital, Builders VC and CAZ Investments participating.
Co-founded by Colossal's Ben Lamm and Harvard geneticist George Church, the same pair behind the woolly-mammoth de-extinction project. "Evolutionary forecasting" pivots the pitch from resurrection to prediction, with early pilots aimed at health and biosecurity. The $3.8B valuation on a $20M round is a bet on the founders' prior company as much as this one's genomic dataset.
hiloop
Infrastructure for automated ML research: give it a task, a baseline agent or model and an eval, and it orchestrates thousands of experiments across data, fine-tuning, prompts and tools, returning statistically validated improvements.
- Founders
- Karan Brar (ML at Reducto; head of ML infrastructure at DynamoAI), Thomas Boser (Reducto; senior ML engineer at Discord; founding engineer at Crosswise)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- hiloop.ai
- Profile
- ycombinator.com
Selling the thing frontier labs keep in-house: the experiment loop itself. Their pitch benchmark is two coding agents running 4,188 experiments across 50 B200s in two days and beating the published best on Karpathy's autoresearch benchmark, which is a claim about orchestration, not model quality, and it rhymes with this week's Reconstruction result showing multi-agent selection recovering capability solo models lack. Could not exist two years ago; agents could not run experiment campaigns unattended. The case against: the teams that most need automated ML research are the labs that will never outsource it, and the mid-market buyer may want the improved model, not the machinery, which makes this a services business wearing a platform's clothes.
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SafeWorld
An evaluation platform for robots that work around people: generates rare but critical scenarios to surface failure modes, quantifies risk, and gives robotics teams a safety case for deployment.
- Founders
- Kyle Wong, Simo Rachidi, Ding Zhao (Carnegie Mellon professor; NSF CAREER award in robot safety)
- The deal
- a16z Speedrun standard: up to $1M, with $500K for 10% on a SAFE upfront and up to $500K more in the next round.
- Website
- safeworld.ai
- Profile
- speedrun.a16z.com
The week China listed its first humanoid maker and Xiaomi promised robots on its own assembly lines is the week the missing piece gets obvious: nobody has a standard way to prove a robot is safe around people. SafeWorld sells the rare-scenario evals that a deployment sign-off needs, anchored by a CMU professor whose academic career is exactly this problem. Could not exist two years ago; there were not enough learned policies deployed near humans to evaluate. The case against: the paying market today is a few dozen robotics teams, most treat safety validation as in-house IP, and if simulation-scale scenario generation becomes a standard feature of robot toolchains, the judge gets commoditized before the market arrives.
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Fractile
London inference-chip startup founded by Oxford roboticist Walter Goodwin, in advanced talks to raise about $600M at a $6.5B after agreeing to sell Anthropic roughly $250M of chips that arrive in 2027.
- Founders
- Walter Goodwin (University of Oxford robotics)
Logged as rumored because the round has not closed: Bloomberg, citing people familiar, reports advanced talks at more than six times the $1B valuation Fractile raised at in May with Accel, Founders Fund and Factorial. The Anthropic order is the whole thesis, a frontier lab paying a quarter-billion dollars for unshipped silicon to hedge Nvidia concentration. Prediction 2026-08-20-T1 tracks whether the chips actually serve production traffic in 2027.
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Ziva
An AI pair programmer that lives inside the Godot 4 game engine: it reads and edits the live scene tree, writes GDScript and C#, runs tests, and debugs in-editor, rather than working from files alone.
- Founders
- Ena So (CEO, ex-high-frequency trader), Delano Lourenco (CTO, five years building developer tools)
- The deal
- Techstars Tokyo terms, per the cohort announcement: $220,000 in capital across the 13-week program.
- Website
- ziva.sh
- Profile
- techstars.com
General coding assistants treat a game project as text; Ziva treats it as a running engine, reading the scene tree and the live debugger the way a Godot developer actually works, and it will generate sprites and 3D models and wire up multiplayer without a server. That engine-native depth is the wedge and also the risk: it is a bet that Cursor and Copilot's generality never quite reaches into a specific engine, against a Godot user base of indie developers with thin wallets, priced from a free tier up to $200 a month. It needs 2025-class models with long-context tool use to read an engine's state and act on it, which is why it is new now.
Instance
Automated evaluation for robot policies: a success detector that judges whether a robot completed a task, breaks it into subtasks, and resets the scene so the next rollout runs with no human in the loop.
- Founders
- Claire Mao (MIT Math + CS; prev NASA JPL, BCG, MIT Media Lab), Lucy Cai (MIT CS + AI; robotics at MIT LIS Lab; prev SpaceX, AWS)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- instancelabs.ai
- Profile
- ycombinator.com
The bottleneck in robot learning is not compute, it is labeling whether a rollout succeeded and resetting the workspace to try again, and both are done by hand today. Instance claims a benchmarked on 10,000-plus held-out human-labeled episodes across seven robot platforms that beats Claude Opus on accuracy at lower latency, which is a bet that a narrow judge outruns a frontier generalist on this one task. The case against is real: the paying market is a few dozen robot-foundation-model teams, most treat evals as core IP, and improving frontier VLMs could commoditize the judge. It could not have been built two years ago because there were not enough VLA policies to evaluate, nor VLMs good enough to grade them.
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Terra Industries
Nigerian autonomous-defense company: drones, interceptors, sentry towers and ground vehicles guarding critical infrastructure across the Global South.
- Founders
- Nathan Nwachuku, Maxwell Maduka
Closed Africa's largest seed round at $52 million, with 8VC, Silent Ventures and SV Angel aboard and a London office opening. The argument is price and sovereignty: infrastructure operators who cannot buy American or Israeli systems at their price points get locally built autonomy instead. Claims line of sight to $100 million in contracts this year, which is a company statement, not an audited one.
Screenpipe
Open-source, local-first recorder that captures screen and audio into searchable memory and context for AI agents.
- Founders
- Louis Beaumont (built the open-source screenpipe project; solo founder on the YC profile, team of two)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- screenpipe.com
- Profile
- ycombinator.com
The bet is that agents are only as good as their context, and the richest context is everything you did all day. Two years ago this was a privacy scandal waiting to happen; what changed is that agents can now consume the recording, and local-first plus open source is the trust posture Microsoft Recall lacked. The case against is exactly Recall: the OS vendors own the screen, can bundle capture for free, and the social backlash against always-on recording has killed better-funded attempts.
SB Energy
SoftBank-backed developer building OpenAI's 10GW Ohio campus publicly filed its Form S-1 on September 1st for a Nasdaq listing under ticker SBE: H1 2026 revenue of $139M against a $3.2B net loss, and a claimed near $439B.
Rumor became filing on September 1st, with J.P. Morgan, Goldman Sachs, Morgan Stanley, Citigroup and Mizuho leading and a reported $5-7B raise target. The S-1 discloses the circular plumbing: OpenAI holds worth about $5.5B as of June 30th for anchoring the Ohio lease, and Nvidia invests $1.5B with credit support conditioned on the campus exclusively hosting Nvidia compute. This is the listing Prediction 2026-08-16-F1, on SB Energy pricing by November 30th, is waiting to score. September 8th check: the September 4th S-1/A is an exhibits-only amendment. It does not establish IPO pricing; status remains filed. September 23rd check: Investing.com cites an unnamed source saying preparations remain on plan, without a date, and relays a New York Times report of buyer resistance and a later timetable. Timing is contested. Neither account establishes pricing; status remains filed. September 27th review: Reuters reported September 24th that the IPO was delayed. No withdrawal or pricing is established by that report. [B]
Modern Industrials
AI workforce for distribution, starting with back-office quoting, order entry and analytics in the $450B building-materials industry.
- Founders
- Austin Mao (McKinsey AI engagements; Roon), Vatsal Bhargava (ML for Google Ads bidding; Bloomfilter), Ankit Bhargava (xAI agentic systems; Uber ML)
- The deal
- a16z Speedrun standard: up to $1M, with $500K for 10% on a SAFE upfront and up to $500K more in the next round.
- Website
- modernindustrials.com
- Profile
- speedrun.a16z.com
Three childhood friends, one out of xAI's agent team, applying agents to the least glamorous paperwork in a $450 billion industry where quotes still move by fax and phone. The non-obvious knowledge is what breaks in agent deployments at a frontier lab, pointed at an industry with no software incumbency to displace. The case against: AI workforce for X is the most crowded pattern in every accelerator batch this year, and distributors buy from relationships, not from whoever automates the back office first.
Higgsfield
AI video platform; raised a $400M Series B at $5.4B led by DST Global, four times its January valuation.
Founded by former Snap AI lead Alex Mashrabov. The company claims $700M annualized revenue in August against $20M a year earlier, with enterprise now the majority of revenue; those are press-release figures, unaudited, and annualizing an August flatters seasonality. Logged because generative video producing a revenue curve this steep, if even directionally true, moves the whole modality from demo to line of business.
Dipole Labs
AI-workload-aware optical circuit switches for AI data centers.
- Founders
- Deepankur Thureja (ETH Zurich quantum-optical hardware; ETH Medal for his doctoral thesis), Gabriele Pasquale (EPFL nanophotonics; IBM prize of the Swiss and Austrian Physical Society)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- dipolelabs.com
- Profile
- ycombinator.com
The pitch is a control layer that learns a cluster's GPU communication patterns and reconfigures the optical fabric in sync with the workload, keeping data in the optical domain and skipping the electrical conversion that costs power and latency; the claim is a 10,000-GPU cluster performing like 12,500. Google proved at scale internally and sells it to nobody, which is the opening. The case against: hard photonics on YC-sized capital, hyperscalers build their own, and two physicists with Nature papers and no data-center sales record are selling into the most locked-up in the industry.
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3Square
A decision layer that captures why organizations decided things and feeds that intent to humans and AI agents.
- Founders
- Jono Caseley (analytics and business intelligence at Bain, Publicis Groupe and The Guardian), Andy Lockey (Head of Architecture at Barclays; Accenture, Experian)
- The deal
- Antler portfolio company; investment terms not disclosed.
- Website
- 3square.ai
- Profile
- antler.co
The timing argument is real: the moment agents start making decisions, the record of why past decisions were made stops being documentation hygiene and becomes machine-readable context, and decision is a data layer nobody needed until agents did. The case against is the strongest we have printed: decision-capture is the knowledge-management graveyard with a new coat of paint, tools like this die because nobody logs decisions, and if capture can be automated, Microsoft and Atlassian own the meetings it would be captured from.
Papr
Graph-native retrieval for AI agents, claiming 15x more agent work per token and #1 on Stanford's STaRK retrieval benchmark (92% vs 58% baseline).
- Founders
- Shawkat Kabbara (CEO; built the AI action layer at Apple, shipped to 1B+ devices)
- The deal
- Techstars standard: $220K, as $20K post-money convertible equity for 5% common plus $200K uncapped MFN SAFE.
- Website
- papr.ai
- Profile
- techstars.com
A retrieval layer with a falsifiable benchmark claim, #1 on Stanford STaRK at 92% against a 58% baseline, and a token-economics wedge, from a founder who shipped Apple's AI action layer to a billion devices. Strongest case against: agent memory and retrieval may be the most crowded lane in AI infrastructure (Mem0, Zep, Letta, LangChain), frontier labs are building memory natively into the models, and the papr.ai homepage now leads with AI apps that run go-to-market work, which reads as positioning churn away from the infra pitch. Techstars names only one founder; the co-founder is described but unnamed on the class page.
Nebula Security
AI-native security firm doing automated vulnerability research and product security audits, pairing AI agents with elite human vulnerability researchers.
- Founders
- Eten Zou (CEO; cybersecurity PhD, Pwn2Own winner, ex-Microsoft), Yuan Tan (CTO; system-security PhD candidate, Black Hat speaker, DARPA-funded program analysis research), Frank Wu (member of r3kapig, ranked #1 hacking team globally in 2025; DEFCON finalist), Xiaochuan Yu (core member of r3kapig; three-time DEFCON finalist; ex-Zellic; $200K+ in Chrome bug bounties; MS, UC San Diego)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- nebusec.ai
- Profile
- ycombinator.com
Four world-class vulnerability researchers, including a Pwn2Own winner and core members of 2025's top-ranked team, pointing agents at the exact problem they have spent careers on, with $400K+ in bounties across browsers, operating systems and the Linux kernel as evidence the loop works. Strongest case against: XBOW got to AI-driven vulnerability discovery first with far more capital, Google's Big Sleep and the frontier labs run the same play in-house, and agents-plus-elite-hackers can decay into pentest-consulting economics instead of a product.
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Gamgee
Personalized cancer vaccines for dogs, designed computationally from each tumor's own mutations.
- Founders
- Paul Conyngham (Sydney tech entrepreneur; designed the first fully computationally designed mRNA cancer vaccine delivered to a dog, with UNSW scientists, for his own dog Rosie)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- gamgee.io
- Profile
- ycombinator.com
Sequence a dog's tumor and healthy DNA, find the mutations unique to its cancer, and manufacture a vaccine that teaches the immune system what to attack, with the founder's own dog as the origin case after chemotherapy and immunotherapy failed. Veterinary oncology is where personalized mRNA gets a short regulatory path and fast readouts. Strongest case against: the origin story is one uncontrolled case of a tumor type that behaves unpredictably without treatment, and per-patient manufacturing economics at pet-owner price points are unproven.
Experiential Labs
Trains companies their own smaller, specialized models from production agent traces plus simulated failures, with an SLA-backed guarantee of 50%+ lower inference cost at equal or better quality.
- Founders
- Kion Fallah (Staff Research Scientist at Waabi, led mixed-reality simulation for autonomous vehicles; ML PhD, Georgia Tech), Silen Naihin (built AutoGPT to 160K GitHub stars; AI for Science work at DOE; co-founder of Stackwise, YC W24)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- experientiallabs.ai
- Profile
- ycombinator.com
The Waabi simulation-first playbook pointed at agents: harvest production traces, simulate the failure modes, into models the customer owns. Fallah built that muscle doing autonomous-vehicle simulation and Naihin earned his running AutoGPT and agent evals. Strongest case against: frontier token prices collapse roughly yearly, eroding a '50% cheaper' pitch on its own timeline; distillation platforms like OpenPipe and Fireworks crowd the lane; and enterprises may prefer renting frontier quality over owning models that go stale.
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Volumes
Captures and constructs ground-truth 4D reality, space, time and embedded physics, as training data for robotics, world models, autonomous vehicles and AR, via a proprietary multi-sensor volumetric capture studio.
- Founders
- Chet Ellis, CEO (Harvard; multimodal AI data and large-scale media production), Tyler Raciti, COO (physical-AI executive across robotics, defense and aviation; university lecturer on AI)
- The deal
- Techstars standard: $220K, as $20K for 5% common plus $200K uncapped MFN SAFE.
- Website
- volumes.cloud
- Profile
- techstars.com
World models are the frontier labs' next battleground and every one of them is data-starved on physics: video scraped from the web has no ground truth for mass, force or occlusion. Selling calibrated 4D capture into that shortage is a picks-and-shovels bet that only became a market once world models and humanoid training runs existed to buy it, and Nvidia and Newlab are already attached. The case against: the labs can build capture rigs in-house the moment the data matters enough, keeps eating real capture from the other side, and a studio model scales linearly with hardware in a market that wants exponential volume.
Vals AI
Independent AI evaluation firm: $40M Series A led by a16z at a $400M valuation, with 8VC, Pear VC, Bloomberg Beta, HRT Ventures and Next Ladder.
Vals' benchmarks already appear in model cards from OpenAI, Anthropic, Google, Meta and xAI, and its finding that frontier models complete under 52% of real finance-analyst tasks is the kind of number vendor evals never surface. a16z's own framing, Moody's for models, names the prize: auditor of record for AI capability. The bet is that self-reported benchmarks keep losing credibility, and the same week Z.ai shipped scores nobody can verify for two weeks, that looked like a safe assumption.
Robocurve
Open-source tools and independent benchmarks for how well robots actually perform real-world tasks, starting with Inspect Robots, an eval framework covering 40+ vision-language-action models.
- Founders
- Jay Chooi, CEO (Harvard statistics and CS; UK AI Security Institute; MATS research fellow; top contributor to Inspect Evals), Aris Zhu, CTO (Harvard CS and physics; Amazon Labs; Amazon Robotics; Yondu Robotics, YC W24)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- robocurve.org
- Profile
- ycombinator.com
The week China's humanoid makers rushed the public markets on self-reported capability claims, a two-person team from the UK AI Security Institute and Amazon's robotics org set up as a public benefit corporation to grade robots independently, and the eval-shop model just got priced by Vals AI's $40M round. Chooi's and Inspect lineage is the non-obvious asset: government-grade eval methodology applied to a field with no Moody's. The case against: benchmarks are a notoriously thin business, the robot makers can starve an unflattering eval of hardware access, and an PBC has no obvious wedge from credibility to revenue before its capital runs out.
DeepSeek
Reported engagement of CITIC Securities for STAR Market IPO preparation; no public exchange application verified.
September 9th 2026: Reuters sources report the CITIC mandate and an aim to begin the process this year. The Flash price cut weakens the earlier pricing-power argument in this record. Adviser selection leaves the offering at the rumored stage until a filing is established. September 25th review: Reuters corrected its September 24th report to identify the planned financing as a private fundraise, not an IPO. This supplies no formal listing application; status remains rumored.
Salem Robotics
Hardware-agnostic autonomy software that turns robots a nuclear plant already owns into regulation-compliant radiological survey operators, producing the compliance documentation as output.
- Founders
- Caleb Horan, CEO (robotics PhD, UT Austin; NRC Fellow; deployed multi-robot teams at Los Alamos National Laboratory's Plutonium Division), Janak Panthi, CTO (robotics PhD, UT Austin; 6 years deploying quadrupeds in nuclear facilities; US Army)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- salemroboticsinc.com
- Profile
- ycombinator.com
The founders' claim to non-obvious knowledge is close to unclonable: Horan personally ran multi-robot teams inside Los Alamos' Plutonium Division, the kind of clearance-adjacent experience you cannot hire your way into, and quadruped autonomy reliable enough to run unsupervised regulatory rounds is a post-2024 capability. Software rather than hardware is the right capital-light shape, and the AI-datacenter nuclear buildout is a macro tailwind that did not exist when they started their PhDs. The case against is procurement latency: NRC-adjacent approval can take years per site, incumbents like Gecko Robotics can bolt on a survey module, and both founders are still finishing their degrees, so a two-person pre-revenue company can die of sales-cycle length long before the nuclear renaissance pays.
Recursive Superintelligence
Recursively self-improving systems, AI that improves AI, aimed at automating knowledge discovery, out of South Park Commons.
- Founders
- Josh Tobin (led agentic-products research at OpenAI; previously co-founded Gantry; research and teaching at OpenAI and UC Berkeley), Tim Shi (early OpenAI team member; co-founder and CTO of Cresta, shipped a GPT-based product in 2019; former Stanford AI researcher)
- The deal
- Terms not disclosed on the SPC profile; South Park Commons typically writes first checks in the $1M to $10M range.
- Website
- recursive.com
- Profile
- southparkcommons.com
The founders' pedigree is the whole thesis: Tobin led agentic-products research inside OpenAI and Shi was an early OpenAI team member who productized GPT at Cresta in 2019, before almost anyone. Two ex-frontier-lab people leaving in 2025 to bet on automated AI research is itself information about what insiders think has become tractable, and this is the could-not-exist-two-years-ago claim at the level of the research frontier rather than the application layer. The case against is brutal: is exactly what OpenAI, Anthropic and DeepMind spend tens of billions on internally, the thesis has no obvious intermediate product to sell, and the best realistic outcome may be an back into a lab.
X Square Robot
Shenzhen embodied-AI robotics firm reported to have submitted a confidential Hong Kong listing filing, with Huatai Securities and Morgan Stanley as sponsors.
SCMP, citing two sources familiar with the matter, August 5th. A confidential filing reported through sources stays rumored here until a public filing appears. It would join AgiBot and Galbot in the Hong Kong humanoid queue forming behind Unitree's Shanghai debut, which is the pattern worth logging: China's robotics IPO pipeline is now deeper than its AI-model one.
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Scope
AI workflow platform for industrial inspections: captures live audio, video and notes in the field, autofills the forms, and generates the standards-compliant report.
- Founders
- Jonathan Low, CEO (Conjecture), Jakob Cassiman, CTO (ML6; Fulbright at Carnegie Mellon)
- The deal
- $20M round led by Index Ventures, May 19th 2026, with Susa Ventures, EF and Syndicate 1.
- Website
- getscope.ai
- Profile
- joinef.com
Inspection is how the physical world gets audited, a $250B industry where a four-hour site visit can produce days of paperwork, and reliable multimodal capture into a structured report only became buildable with the current model generation. The company claims 7 of the 10 largest inspection providers use the product. The case against: voice-and-video-to-report is becoming a commodity capability of the model APIs, the incumbent TIC giants can build or buy, and neither founder comes from the inspection industry; the moat has to be standards libraries and workflow depth, and in a liability business the residual error rate is where the lawsuits live.
Potato
Autonomous AI scientist agents that read literature, design experiments, generate lab-automation-ready protocols, analyze results and decide what to run next.
- Founders
- Nick Edwards, CEO (neuroscience PhD; NIH, BCG, Illumina), Ryan Kosai, CTO (Pioneer Square Labs, Attunely, ExtraHop)
- The deal
- $4.5M seed led by Draper Associates, with Dolby Family Ventures, Boost VC, Ensemble VC, Silicon Badia and Alumni Ventures.
- Website
- potato.ai
- Profile
- aihouse.vc
The pitch is not an AI genius scientist, it is reproducible, auditable experiment execution, the unglamorous part academic labs cannot staff, and Edwards lived the reproducibility problem from inside NIH and Illumina. Closing the loop from paper to machine-executable wet-lab protocol only became sustainable with current agentic tool use. The case against: FutureHouse, Lila Sciences and the labs' own science agents chase the same thesis with 10 to 100 times the capital, $4.5M is thin for anything touching wet labs, and the buyer, a principal investigator, is the customer most professionally incentivized to distrust a black box doing their science.
Lovable
Stockholm platform: $400M Series C at $13.3B, double its December mark, co-led by Menlo Ventures and EQT's Scaleup Europe Fund.
Tencent and Balderton join the cap table, and the company says annual recurring revenue nearly tripled from $200M toward $600M by the end of August. The valuation doubled in eight months on a category whose defensibility is the open question, since the same prompt-to-app capability ships in every coding agent; Tencent buying into a flagship European AI company the week Beijing finished unwinding Meta's Manus purchase is the more durable fact.
Legora
Stockholm legal-AI platform: in talks for new funding above a $10B valuation, against the $5.6B it set in April.
AI agents for law firms and in-house legal teams doing research, due diligence, contract review and drafting, with more than 1,000 enterprise customers including Cleary Gottlieb, White & Case and Linklaters. Nvidia's venture arm and Atlassian backed the April round. The doubling in four months puts it in the same bracket as Cognition's reported $40B talks the same week, AI-native software repricing on usage growth rather than an annual round cycle. Neither company's new terms are public and both sets of talks are early.
Locke (formerly Justinian)
An AI-native government affairs firm. Agents plus in-house policy staff track regulation, lobby, and chase federal contracts for early-stage companies.
- Founders
- Parth Badhwar (White House, Deloitte policy team, Clipbook, Harris campaign)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- locke.inc
- Profile
- ycombinator.com
Two people billing for lobbying work itself, so the price moves with output instead of headcount. YC lists a $500K annual run-rate six weeks after a quiet launch, across defense, healthcare and govtech clients. The obvious objection is that government affairs runs on relationships an agent does not have. The firm's answer so far is to keep human lobbyists and put the agents underneath them, on the monitoring. It has since renamed to Locke.
Emphere
Patches known vulnerabilities inside the images a company already ships, so nobody has to adopt somebody else's hardened base image.
- Founders
- Ankit Kumar, CEO (six years in security at Uber), Pallav Gupta, CTO (engineering at CarGurus and Twitter)
- The deal
- $2.1M pre-seed from AI House and Outsiders Fund, June 4th 2026.
- Website
- emphere.com
- Profile
- geekwire.com
Scanners have been commodity for years, and every one of them ends by handing an engineer a list. A company selling into banks then spends weeks rebuilding images to clear it. Emphere patches the distribution the customer already runs. That is the harder engineering problem, and it is why the incumbents sell hardened base images instead. Five people, two of them security researchers who attack the patched images to check the work.
Decawork
An agent control plane for IT. Deploy agents with real identities and scoped credentials, put them through approval, and keep an audit trail.
- Founders
- Sarthak Aggarwal (NVIDIA AI systems, deployed at OpenAI and Meta; Ema), Aman Raj (AI compliance tooling at Barclays, used by 240+ teams)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- decawork.ai
- Profile
- ycombinator.com
The product assumes enterprises already have agents running on shared human credentials, with no approval step and no log. That is the same mess service accounts made, and it took a decade to clean up. If Decawork has the timing right, the budget sits with IT, which is a different sale from the one most AI startups are making, and the thing that wins is an identity layer nobody currently owns.
Agility Robotics
Public S-4 filed September 4th for the proposed Churchill Capital Corp XI business combination.
Announced June 24th with over $620M of gross proceeds including a roughly $200M Foxconn-led PIPE, and more than $300M of multi-year Digit v5 orders from Schaeffler, GXO, Toyota Motor Manufacturing Canada and Mercado Libre. Logged now because aggregators began claiming this week that it went public; it has not. There is no effective S-4, no shareholder vote date and no listing, and the status here stays filed until the record says otherwise. September 14th pipeline check: SEC accession 0001213900-26-097764 establishes a public S-4 filed September 4th, beyond the previously recorded confidential submission. A registration statement does not establish merger completion or a trading debut.
Agent FM
A desktop app that puts every coding agent you are running into one group chat, with live text and audio updates you can answer.
- Founders
- Aniket Deshpande, CEO (Meta Superintelligence Labs, agent orchestration), Mugdhaa Patankar, CTO (Snowflake, developer productivity AI; Twitch)
- The deal
- YC standard: $500K, as $125K post-money for 7% plus $375K uncapped MFN.
- Website
- agentfm.ai
- Profile
- ycombinator.com
Running four Claude Code and Codex sessions costs almost nothing. Catching the one that made a bad assumption forty minutes ago costs a lot, and it gets paid in tokens and rework. Agent FM's answer is ambient: the agents talk in a group chat you overhear, with audio, so you steer instead of poll. The risk is obvious. Cursor and Claude Code could ship the same thing in a release.
Y Combinator Summer 2026
197 companies, about 40 launched so far; the AI cluster is agents that do work, infrastructure to govern them, and connectors to the physical world.
The AI cluster in this batch runs to agents that do work, infrastructure to govern them, and hardware connectors. Demo Day is September 10th, so the list is still filling. Individual companies are written up on their own pages.
Unitree
Listed on Shanghai's STAR Market on August 19th 2026 at RMB 150.80 per share, raising about RMB 6.1B ($905M); it opened at RMB 1,100, up 629%, and closed its first session at RMB 845, up 460%.
China's first mainland humanoid listing closed its debut worth about RMB 342B ($48B), roughly 5.6x the IPO valuation and, by ts2.tech's reckoning, near 857x projected 2026 earnings. The retail tranche was 8,288.82x ; a single winning lot showed about RMB 347,000 of paper profit at the close. The stock faded 23% from its RMB 1,100 open, the pattern of a momentum debut rather than a re-rating, and founder Wang Xingxing keeps 68.8% of the vote. Meituan's RMB 420M stake is now worth about RMB 38.6B. Caixin counts 30 to 50 Chinese robotics firms preparing Hong Kong listings behind it.
Theseus Infrastructure
Data-center platform announced August 10th 2026, owned and majority-funded by Macquarie Asset Management and GIC funds, with Anthropic as under long-term leases.
The structure is the product: Anthropic gets purpose-built US capacity without the assets touching its pre-IPO balance sheet, and commits to 100% of grid-upgrade costs plus any consumer electricity increases its demand causes. No dollar figure disclosed, which for a platform of this ambition is itself information.
Psibot
Chinese robotics startup at a $1.48B valuation.
One of the nearly forty AI unicorns minted in 2026. Track the concentration of robotics money in China; the individual round says less.
SourcesS
OpenAI
Altman rules out a 2026 IPO; previously reported confidential filing remains in the record.
The has already voted on this one: roughly $600M of OpenAI shares sat unsold while $2B of bids queued for Anthropic. Informed holders express views in secondaries that they will not state publicly. September 9th 2026: Semafor, citing the Financial Times, reports bankers seeking ratings after listing. No awarded rating or completed listing is established by that report. September 13th 2026 update: Bloomberg reports that Altman told Fortune a listing will not happen this year as OpenAI prioritizes safety work. No firm 2027 listing date or withdrawal of the reported confidential filing is established. September 12th 2026: Altman ruled out a 2026 offering in a Fortune interview, reported by Axios. Preserve filed status; a delay does not establish withdrawal of the filing.
Discovery Loop
Public-benefit corporation aimed at automating the scientific method, founded by Jeff Dean and Sanjay Ghemawat.
Dean and Ghemawat left Google after 27 years, taking Oriol Vinyals and Quoc Le. Google is a founding investor, cloud partner and first-year compute supplier, which reads more like a settlement than a blessing.
Databricks
Strategic round at a $188B valuation.
Announced by the company, so the number is theirs and no reporter reconstructed it. Read it as a gauge of whether late-stage private marks are still being set by conviction or by momentum.
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Anthropic
Reported Nasdaq selection for a potential IPO; existing confidential-filing status retained.
Enterprise-weighted revenue growing from $1B in 20 months. The $1.75T figure circulating in some coverage appears to be contamination from SpaceX's valuation; $965B paired with $47B is the internally consistent pair. September 9th 2026: Semafor, citing the Financial Times, reports bankers seeking investment-grade ratings after listing. No awarded rating or completed listing is established by that report. September 11th 2026: Reuters reports Nvidia discussing an anchor investment of up to $10 billion. The reported target is up to $100 billion raised at around a $2 trillion valuation; these are negotiations, not a final price or commitment. September 14th update: Reuters, citing Business Insider, reports Nasdaq has been selected. A separate Reuters account of FT reporting describes expected positive for a second consecutive quarter. These are sourced reports, not a public prospectus, final pricing or a completed IPO. September 14th 2026: Axios sources still expect an offering in 2026 despite the safety debate. This is a timing report, not a completed listing. September 19th update: Axios reports a revenue pace above $100B annualized. That is neither audited fiscal revenue nor evidence of a completed IPO. September 20th update: Reuters reports deliberations over a model release ahead of an expected IPO. The report establishes neither a release nor a completed offering; existing filing status is unchanged. Also September 20th: The Wall Street Journal, via wire relays, reports the listing slipping past its expected October target to November, still at up to $100 billion around a $2 trillion valuation, so the company can market on third-quarter results; sources say the timing was set before the public slowdown debate. The S-1 remains confidential.
AgiBot
Shanghai humanoid maker that began a Hong Kong listing process on July 24th 2026, targeting HK$40-50B (about $5.1-6.4B); no prospectus filed yet.
Rumored, not filed: sponsors (Citic, CICC, Morgan Stanley) are hired but no A1 is public. The company it would be judged against just changed places with it. AgiBot shipped 8,400 humanoids in H1 2026, 44% of the world market, overtaking Unitree in the half Unitree spent going public. Backers include Tencent, Hillhouse and BYD.
AIAI Holdings Corp
Form S-1 on file with the SEC.
Filed with , so this is the primary document and not coverage of it. Included because the filing itself is readable, which is rare in a pipeline built mostly of confidential submissions.
SourcesS