[ { "id": 35292, "name": "Agent Relay", "slug": "agent-relay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "website": "https://agentrelay.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agent Relay lets software teams' AI coding agents message each other directly, so people stop copy/pasting between Claude Code, Codex, Cursor, and their teammates' agents. A frontend agent can ask the backend agent what an API returns, two agents can sort out a merge conflict between themselves, and your agent can answer a colleague's agent while you sleep.\r\n \r\nAgents connect wherever they run: terminals, desktop apps, phones, laptops, cloud boxes, or a Mac mini across the world. Every session goes into shared, searchable history, so decisions don't get stuck in one person's chat. You can even let a customer's agent debug with yours. Setup takes about 5 minutes: give your agent the link and it installs itself. Use our hosted version free, or self-host the open-source version", "one_liner": "Let your teams' coding agents message each other", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1789747031, "tags": [ "Developer Tools", "Swarm AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agent-relay", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/agent-relay.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agent-relay/", "x_url": "https://x.com/agent_relay", "fb_url": null, "cb_url": null, "github_url": "https://github.com/agentworkforce", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09214a2b9b81fe3af1dedca8832a9d2af4b4f8ab.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 50118, "full_name": "Will Washburn", "title": "Founder/CEO", "founder_bio": "Previously built Tailwind, where I spent 14 years scaling a marketing SaaS for small businesses to eight-figure ARR, 50K+ paying customers, 1M+ users, 60+ people, and a Series A. Now building Agent Relay so teams' coding agents can coordinate directly. We run 50+ agents in parallel ourselves.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willwashburn/", "x_url": "https://www.x.com/willwashburn/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efe4cdae0af5c22d84fc43200a16f0065e005482.jpg" }, { "user_id": 50117, "full_name": "Khaliq Gant", "title": "Founder/CTO", "founder_bio": "Previously Founding Engineer at Nango (W23) and Lead Engineer at Overview (W19). Cornell & Columbia grad. Former collegiate basketball player. Was paralyzed from neck down, fought way back to be able to walk again. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/khaliqgant/", "x_url": "https://x.com/khaliqgant", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ffbf3a452a716aa224b41a276d64c2534501ec2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35883, "name": "Halmos Labs", "slug": "halmos-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/093fdc6d2122e7140cab391f450941fd3922b145.png", "website": "https://halmoslabs.com/", "all_locations": "Lund, Skåne County, Sweden", "long_description": "Halmos Labs builds automated biotech R&D on the principles of validity and interpretabillity. We run research, and simulations answering open questions ranging from wetlab experiment design to full cancer vaccine manufacturing.", "one_liner": "Maximum information per experiment, minimum experiments per conclusion", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Industrial Bio", "launched_at": 1788773241, "tags": [ "AI-powered Drug Discovery", "Swarm AI", "Biotech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Industrial Bio" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/halmos-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/halmos-labs.json", "year_founded": 2026, "city": "Lund", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/144861296", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/093fdc6d2122e7140cab391f450941fd3922b145.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3682661, "full_name": "Mattias Akke", "title": "Founder/CEO", "founder_bio": "Founder at Halmos Labs. Previously ML research intern at MIT (Gómez-Bombarelli's lab) and AstraZeneca, developing frontier models for drug discovery. Published at NeurIPS on Bayesian optimization with LLMs. Research intern at Cambridge in Tuomas Knowles' group studying protein misfolding diseases. Chaired Kodsport Sverige, Sweden's largest competitive programming organization.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattias-akke-40a83219a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e01b9b8a380ee646dee214cd9e121e4c7102388a.jpg" }, { "user_id": 3654952, "full_name": "Linus von Ekensteen Löfgren", "title": "Founder/CTO", "founder_bio": "Founder at Halmos Labs. Previously Desk Quant at Danske Bank, building pricing algorithms and risk models across all asset classes. Conducted LLM security research at AI Sweden and quantum computing research at Chalmers. MS Engineering Physics and BA Economics from Lund University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linusvonekensteen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17a47ee26b59bf606fe75eb4b38cf5062197f685.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117722, "title": "Halmos Labs; intelligent experiment design", "tagline": "Halmos designs experiments for biotech teams", "body": "Halmos enables biotech teams to get more out of every experiment. It reads the literature, runs simulations, and selects or trains models to optimize every step — so you extract more information across discovery, process development, scale-up, and manufacturing.\\\n\\\n\n\\\n**The problem**\\\nExperiments are slow, expensive, and most of the information they could yield is wasted. Teams run tedious trial-and-error or exhaustive screens, burning months of lab time and budget to reach conclusions better experimental design would have reached far sooner. The pharmaceutical industry alone performed **$126B of U.S. R&D in 2023**.\\\n\\\n**How it works**\\\nHalmos runs unbounded research by coordinating hundreds of AI agents, checks the logical consistency of their reasoning, and revisits arguments that fail validation before presenting conclusions to your team.\\\nZero installations, no data engineering, and no need for your own statistics team.\\\n\\\n**Tested in industry:**\n\n* **Bioprocessing:** In a collaboration, Halmos matched the best performance from a company's wet-lab campaign in an average of **30% fewer evaluations** across repeated simulations. Halmos repeatedly recommended testing beyond the permitted range; when the experimentalists eventually explored it, performance improved further.\n* **Food-tech fermentation:** For a company two months into fermentation optimization, Halmos simulated the organism's metabolism and identified a nutrient variable missing from the experimental plan. The team confirmed the finding and replanned its next month of experiments.\n\n\\\n**Towards increasingly large R&D tasks**\\\nWe start by designing experiments. From there we take on increasingly large R&D tasks until we can run full end-to-end programs for biotech teams at a fraction of the cost of a consultant — enabling new discoveries in less well funded industries like food, rare diseases, biomaterials, and agriculture. \\\n\\\n**Team**\n\n* **Mattias Akke (CEO)** researched LLM-driven Bayesian optimization at MIT, built drug-discovery models at AstraZeneca, and conducted Alzheimer's research at Cambridge.\n* **Linus von Ekensteen Löfgren (CTO)** was a desk quant at Danske Bank, researched LLM security at AI Sweden, and wrote quantum simulation code at Chalmers. Winner of the IEEE AP-S Student Design Contest 2023.\n* **Linus Särud (Founding Engineer)** has 12 years of cybersecurity experience and led offensive security at Sciber. He earned bounties for hundreds of vulnerabilities across companies including Google, Meta, Microsoft, and PayPal.\n\n\\\n**Our ask**\\\nIf you run biotech **R&D, process development, assay development, or manufacturing optimization**, we want to hear from you. **Scope an experiment with us at [halmoslabs.com](http://halmoslabs.com)** or email [**hi@halmoslabs.com**](mailto:hi@halmoslabs.com) (enterprise inquiries welcome).", "url": "https://www.ycombinator.com/launches/Uck-halmos-labs-intelligent-experiment-design", "votes": 5, "created_at": "2026-10-05T17:00:00.106Z" } ] }, { "id": 37071, "name": "Acyclic Labs", "slug": "acyclic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0ab38690d05797c7ccebecaf6f40e8c72b69516.png", "website": "https://acyclic.dev", "all_locations": "London, England, United Kingdom", "long_description": "Acyclic builds the infrastructure for agent swarms: open-source primitives for running agents in parallel, and a managed agents platform that runs swarms for you. Complex, long-running tasks are split across many agents, each working in its own instant fork of the workspace, and finish in a fraction of the time.\n\nWe built Acyclic because we believe there are huge gains to be had in how agents are run, beyond the models themselves. Agents can already do real work, but they still do it one step at a time, so complex tasks take hours or days. Running them as swarms is an infrastructure problem: isolating each agent, dividing the work, and merging the results without conflicts. Today, teams use Acyclic to run heavy document-processing pipelines in minutes instead of hours.\n\nAt Cambridge, we researched ML and auto-parallelising compilers, and then we built multi-agent systems in production: Ram as a Palantir FDE for pharma clients, shipping systems for clinical trial design, and Varun leading agent architecture at Tracelight for Big 4 accounting firms. We kept asking the same question: the agents were good enough, so why couldn't we run thousands of them at once to make everything faster and cheaper? Acyclic is our answer.", "one_liner": "Agent swarms that make long-running tasks exponentially faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1791261091, "tags": [ "Swarm AI", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/acyclic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/acyclic.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/112651593/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/acyclic-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0ab38690d05797c7ccebecaf6f40e8c72b69516.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3653810, "full_name": "Ram Vinjamuri", "title": "Founder/CEO", "founder_bio": "Ram is a founder of Acyclic Labs. He started in ML research: his Cambridge dissertation on transfer learning for low-resource Vedic Sanskrit beat the state of the art and was published at ACL WiNLP. \n\nAt Palantir, he was an FDE shipping multi-agent systems for clinical trial design. That work convinced him there are huge gains in scaling beyond the model. At Acyclic, he is building the infrastructure that lets agent swarms turn complex, long-running tasks from days into hours.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ram-vinjamuri/", "x_url": "https://x.com/ramv2003", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/232c674f93e4e84353b72971c84b9fdebb331bbe.jpg" }, { "user_id": 2012796, "full_name": "Varun Latthe", "title": "Founder/CTO", "founder_bio": "Co-founder of Acyclic Labs (YC F26).\n\nAt Cambridge, my research focused on building an auto-parallel programming language. I then worked on agent architecture and an Excel engine at Tracelight (https://tracelight.ai).\n\nAt Acyclic, I’m building infrastructure that extracts implicit parallelism from agent workflows, turning them into efficient swarms for lower cost and latency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varun-l/", "x_url": "https://x.com/var1377", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/748349d818f1366c42481e7045a3c41cccbffd5c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37998, "name": "Adside.ai", "slug": "adsideai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e762367db2ece01156d1933d40f463f680d2397.png", "website": "https://adside.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We're Robin Choy and Guillaume Miara, founders of Adside (adside.ai). We're building Adside, a swarm of agents that manages ads on Meta, Google and LinkedIn, etc. We’re building the service we wished we had in our previous B2B marketing software company that we sold earlier this year.", "one_liner": "AI agency that manages paid ads on Meta, Google, LinkedIn, etc. ", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1792099524, "tags": [ "Swarm AI", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adsideai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/adsideai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adside-dot-ai", "x_url": "https://x.com/Adsideai", "fb_url": "https://www.facebook.com/profile.php?id=61585827516131", "cb_url": "https://www.crunchbase.com/organization/adsideai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e762367db2ece01156d1933d40f463f680d2397.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9b90e1de32d6a53bacf11f829195cce4d6ccaf4b.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4dc1018764e048a7b4d194168b022f962eea7170.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 406206, "full_name": "Robin Choy", "title": "Founder/CEO", "founder_bio": "Repeat founder including 2-times YC (Adside YC F26, Botdog, HireSweet YC W20) & Investor (invested in 120+ YC startups including Starcloud, Sygaldry, Mastra, Conductor, Blaxel and many other amazing companies)", "is_active": true, "linkedin_url": "", "x_url": "https://x.com/ChoyRb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/050d195a46e8a36e9650eba4ce1a34b0e0fe620f.jpg" }, { "user_id": 1962152, "full_name": "Guillaume Miara", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Adside.ai. Previously co-founded Botdog (GTM SaaS sold in 18 months for 7 figures). Staff Engineer at Oscar Health, where I led enrollment integrations and platform migrations. Master's in Operations Research from UC Berkeley and CentraleSupélec.", "is_active": true, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/beef686723e1d7b45c838e525bf0b94663eff05c.jpg" } ], "jobs": [], "news": [], "launches": [] } ]