[ { "id": 31378, "name": "GodHands", "slug": "godhands", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "website": "https://godhands.dev", "all_locations": "San Francisco, CA, USA", "long_description": "GodHands makes employee transitions seamless and ensures that critical knowledge is captured for posterity. We reconstruct any employee’s work in days from the systems where they did it. You can see what depends on them, hand their role over, and keep their work running after they leave. \r\n", "one_liner": "We reconstruct how employees actually work, so nothing breaks when…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1777151399, "tags": [ "Enterprise", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/godhands", "api": "https://yc-oss.github.io/api/batches/fall-2026/godhands.json" }, { "id": 31452, "name": "Degla Inc", "slug": "degla-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b4aa40c1f823de9d3ec9a6c4b04e1e382dc5a85.png", "website": "https://degla.ai", "all_locations": "Boston, MA, USA", "long_description": "We turn natural Language into Multi-Drone Mission execution. Degla is built around a simple idea: once you’ve expressed your intent, the system owns the problem.You don’t babysit drones. You don’t micromanage failures. You don’t rewrite plans. You state the goal, Degla figures out how.", "one_liner": "The fully autonomous intelligence layer in the sky.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1775570807, "tags": [ "Artificial Intelligence", "Hard Tech", "Drones", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/degla-inc", "api": "https://yc-oss.github.io/api/batches/fall-2026/degla-inc.json" }, { "id": 31461, "name": "Collar", "slug": "collar", "former_names": [ "Collar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9eb4e7455b35796c4972c68f65a621d21e458003.png", "website": "https://usecollarai.com", "all_locations": "Singapore, Singapore", "long_description": "Collar helps lean investor relations teams reach the right investors.\r\nWe automate earnings preparation, track peers and market developments, and target investors who best fit each company.\r\nCFOs and IR heads can actually focus on building relationships and getting their company’s story heard.", "one_liner": "AI for Investor Relations", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777111023, "tags": [ "Artificial Intelligence", "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Singapore", "Southeast Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/collar", "api": "https://yc-oss.github.io/api/batches/fall-2026/collar.json" }, { "id": 31591, "name": "RightNow", "slug": "rightnow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59b2e02a314037738d9f32192f83e8bd442be246.png", "website": "https://runinfra.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "RightNow AI is a research lab building GPU infrastructure that lets teams own their AI stack instead of depending on closed-source APIs. Our platform RunInfra takes any HuggingFace model, auto-generates optimized GPU kernels, and deploys it serverlessly with pay-per-token pricing\r\n\r\nRightNow AI lab: https://rightnowai.co\r\nRunInfra platform: https://runinfra.ai.", "one_liner": "Enabling Model-Hardware Co-Design at Scale", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779474756, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rightnow", "api": "https://yc-oss.github.io/api/batches/fall-2026/rightnow.json" }, { "id": 32352, "name": "Veltha", "slug": "veltha", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/086027e8af9fab6d08a460f136457d84dbf6f354.png", "website": "https://veltha.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Veltha is the AI native TPA starting with workers comp. We handle claim for insurance providers end to end.\r\n\r\nLearn more at https://veltha.ai", "one_liner": "AI native TPA starting with workers comp", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1786650265, "tags": [ "Fintech", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/veltha", "api": "https://yc-oss.github.io/api/batches/fall-2026/veltha.json" }, { "id": 33804, "name": "Lightfield", "slug": "lightfield", "former_names": [ "Lightfield, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5892847938d97ba24dce5c43342e5a6f22a2f34.png", "website": "https://trylightfield.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lightfield connects to a company’s email, chat, and business systems and does the legal work before it reaches the legal team. It gathers context, applies company policies and past decisions, and presents the completed work to in-house counsel for approval.", "one_liner": "AI that works for in-house legal teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1786835532, "tags": [ "SaaS", "B2B", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lightfield", "api": "https://yc-oss.github.io/api/batches/fall-2026/lightfield.json" }, { "id": 33838, "name": "Simantic", "slug": "simantic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12eef74104b6e57636a6f0d2305e3a2d18d5c2e5.png", "website": "https://simantic.dev", "all_locations": "Waterloo, ON, Canada", "long_description": "Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.", "one_liner": "Firmware simulation for AI agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1782327485, "tags": [ "Developer Tools", "Hardware", "Semiconductors", "Electronics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/simantic", "api": "https://yc-oss.github.io/api/batches/fall-2026/simantic.json" }, { "id": 34365, "name": "Lambda Robotics", "slug": "lambda-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/751b6f5898f8cb0549b80d5a13c551d0c7c0e12f.png", "website": "https://lambdarobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lambda Robotics builds and deploys robots for the infrastructure powering frontier AI.", "one_liner": "Robotics for AI Infrastructure", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1785385611, "tags": [ "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lambda-robotics", "api": "https://yc-oss.github.io/api/batches/fall-2026/lambda-robotics.json" }, { "id": 34464, "name": "herdr", "slug": "herdr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f63118d9ed1edf6a055497860b53107c37b334.png", "website": "https://herdr.dev/", "all_locations": "Ankara, Ankara, Turkey", "long_description": "Developers don't run one coding agent anymore. They run fleets of them — for hours, sometimes days — across laptops, servers, and sandboxes. Keeping track of that work is the new bottleneck: which agent is blocked, which one finished, which terminal is it in, and why did everything die when the laptop closed.\r\n\r\nHerdr is the open-source home for that work. A background server owns the agents' terminal sessions on each machine, so the work survives disconnects, closed lids, and dropped SSH. Herdr detects each agent and turns the chaos into an attention queue — working, blocked, done, across every project — so you look only when an agent needs you. Every client is just a view: the bundled terminal UI, SSH from another machine, your phone. Close one, open another; the work never stops.\r\n\r\nSoftware can drive it too: a CLI, a socket API, and a plugin marketplace that passed 500 community plugins in its first month. The runtime is Apache-2.0 and stays open. Four months after launch: 25k GitHub stars, 340k downloads.", "one_liner": "building the open agent runtime", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1786038738, "tags": [ "Artificial Intelligence", "Developer Tools", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Turkey", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/herdr", "api": "https://yc-oss.github.io/api/batches/fall-2026/herdr.json" }, { "id": 34597, "name": "Sentient OS", "slug": "sentient-os", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/597c9491c6951c83af2828c9a596ca67477a0157.png", "website": "https://sentient-os.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Nobody's built truly proactive AI, because it requires running inference on your entire life. In the cloud, that's insanely expensive and a privacy nightmare. But not on your own chip.\r\n\r\nEvery night, Sentient's on-device LLM wakes your Mac and understands what's new in your life (email, messages, files, Granola transcripts...), entirely locally, and distills it into a knowledge base.\r\n\r\nYou wake up to your work already prepared: the reply you forgot, drafted from your own context; the subscription you never use renewing tomorrow, caught; the report you promised in the group chat, ready to send. Everything is one click from firing through computer use, and nothing fires until you click.\r\n\r\nOr click your Mac notch anytime and say \"finish this for me.\" Sidekick takes over the thing you were doing with its own cursor while you move on.\r\n\r\nOn-device inference at this scale was supposed to be impossible: devices too slow, and models too dumb. So we built the stack ourselves: a custom LiteRT-LM fork (KV-cache reuse, speculative decoding, custom k-quants) that runs nightly on 8 GB Macs. The user's hardware does ~90% of the compute, and their own ChatGPT or Claude subscription does the rest, so our marginal cost is ~$0, and our servers store nothing.\r\n\r\nWe soft-launched late July with one Reddit post: top of r/macapps, 2,000+ users in 48 hours, $0 marketing. Free and open source for consumers; the same engine on the work stack (Slack, Granola, Linear, Notion) becomes the enterprise business.\r\n\r\nSentient OS raised ~$1M in pre-seed, backed by YC, Afore, and the a16z Speedrun scout fund.", "one_liner": "On-device AI that knows your entire life and does your work overnight.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1787571928, "tags": [ "Artificial Intelligence", "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sentient-os", "api": "https://yc-oss.github.io/api/batches/fall-2026/sentient-os.json" }, { "id": 34629, "name": "Simulithic", "slug": "simulithic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/58a972cb3cb171dd4300267d241cc6705539f906.png", "website": "https://simulithic.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build simulations of your real users, grounded in your session data, so you can predict how any product change will perform before you ship it.", "one_liner": "Simulate how any product change will perform before shipping.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1786468833, "tags": [ "Artificial Intelligence" ], "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": false, "url": "https://www.ycombinator.com/companies/simulithic", "api": "https://yc-oss.github.io/api/batches/fall-2026/simulithic.json" }, { "id": 34761, "name": "Veeza AI", "slug": "veeza-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ff98253605935aaa53bb31e8330be6a74309c6d.png", "website": "https://veeza.ai", "all_locations": "", "long_description": "Billions of people need tourist visas to travel the world. We use AI agents to prepare applications, verify documents, secure appointments, and handle the visa process end to end.\r\n", "one_liner": "AI travel agent for people with weak passports, starting with visas.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Travel, Leisure and Tourism", "launched_at": 1786858536, "tags": [ "AIOps", "Artificial Intelligence", "Consumer" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Travel, Leisure and Tourism" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/veeza-ai", "api": "https://yc-oss.github.io/api/batches/fall-2026/veeza-ai.json" }, { "id": 34794, "name": "Qokedas", "slug": "qokedas", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db2b316be3ecf24cfbcfc09074b3e2b8a1f3bb05.png", "website": "https://qokedas.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Models are trained on the entire internet, but most of what happens on Earth is never written down. We turn those signals into training data so labs can make models better at science", "one_liner": "Data for AI Science", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785795073, "tags": [ "Artificial Intelligence", "Deep Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/qokedas", "api": "https://yc-oss.github.io/api/batches/fall-2026/qokedas.json" }, { "id": 34928, "name": "Ascii", "slug": "ascii", "former_names": [ "Ascii box" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ab4963f9bacc76a0a31b94f8773cad5138d2dc3.png", "website": "https://box.ascii.dev", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "**Problem**\r\n\r\nHumans used to need laptops to do their work. Now they prompt agents instead, and those agents need computers too: always-on, in large quantities, and with unlimited capabilities. \r\n\r\nBuilding and maintaining that yourself is far from trivial.\r\n\r\n**Solution**\r\n\r\nBox provides powerful, simple, permissive Ubuntu VMs in the cloud. In a box, an agent can work for long periods on code or on knowledge work like legal, research, reporting, and auditing.\r\n\r\n**Why Box and not any other cloud VM?**\r\n\r\n1. It is ready out of the box: every box ships with a desktop, chrome, languages, docker, snapshots, and templates, plus a CLI, SDK, API, and control pane for your fleet.\r\n2. It is permissive and paradigm agnostic: any number of agents can use any number of boxes. Agents can run inside or use boxes as an external tool.\r\n3. It is expertly crafted: we manage everything from the individual CPU to the orchestration software, which makes boxes stable, persistent, scalable, and secure.\r\n4. It is the best performance and price in town: our CPUs rank first on HPC benchmarks, and boxes are typically 9x to 18x cheaper than other leading sandboxes.\r\n\r\n**Further notes**\r\n\r\nBoxes are hosted in Europe, which keeps prices low, and more regions are coming. Unless compliance requires it, agents don't notice the region they run in.", "one_liner": "The best cloud VMs for billions of agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1788174016, "tags": [ "Developer Tools", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "France", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/ascii", "api": "https://yc-oss.github.io/api/batches/fall-2026/ascii.json" }, { "id": 35058, "name": "Capveon", "slug": "capveon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55acb7275a696cdf957737bce96b338f2da2d45f.png", "website": "https://capveon.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Turning infrastructure demand into action ", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1787160988, "tags": [ "GovTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Government" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/capveon", "api": "https://yc-oss.github.io/api/batches/fall-2026/capveon.json" }, { "id": 35094, "name": "Forward", "slug": "useforward", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/717ea600e14829731cf877a194aca957195d9b27.png", "website": "https://www.useforward.co/", "all_locations": "San Francisco, CA, USA", "long_description": "An AI platform that connects commercial debt advisors with mandate matching private credit funds. ", "one_liner": "Unifying Global Private Credit", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785975971, "tags": [ "Artificial Intelligence", "Fintech", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/useforward", "api": "https://yc-oss.github.io/api/batches/fall-2026/useforward.json" }, { "id": 35128, "name": "Talos", "slug": "talos-us", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "website": "https://www.talos-us.com/", "all_locations": "Baltimore, MD, USA", "long_description": "At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models. For each fault, we provide detailed analyses of the problem, exactly where and why it happened, as well as next steps teams should take. ", "one_liner": "Predictive maintenance for power infrastructure.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1787763466, "tags": [ "Deep Learning", "IoT", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/talos-us", "api": "https://yc-oss.github.io/api/batches/fall-2026/talos-us.json" }, { "id": 35190, "name": "Lantern AI", "slug": "lantern-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b98395722e26f62e5f8c6de59c2dd27361270ec7.png", "website": "https://www.lantern.md", "all_locations": "San Francisco, CA, USA", "long_description": "Lantern learns what exceptional looks like for your team, pressure-tests the role against the real talent market, then runs the hiring loop: sourcing, inbound applications, interviews, assessments, candidate communication, and offers.", "one_liner": "Turn Your Taste Into Hires", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1787030206, "tags": [ "Artificial Intelligence", "Human Resources", "Recruiting", "HR Tech", "Talent Acquisition" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Human Resources" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lantern-ai", "api": "https://yc-oss.github.io/api/batches/fall-2026/lantern-ai.json" }, { "id": 35224, "name": "Micora", "slug": "micora", "former_names": [ "Micora Energy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc1316658ceceb944d2c372912cac6b6db9e5ec.png", "website": "https://micora.com", "all_locations": "San Francisco, CA, USA", "long_description": "Micora is a next-generation robotic energy developer that compresses the timeline from initial design to power generation from years to weeks. Our vertically integrated platform combines purpose-built robotic hardware with proprietary modular energy systems, enabling critical power infrastructure to be designed, manufactured, and deployed at unprecedented speed.\r\n\r\nTraditional energy projects are slow, costly, and built around processes that were never designed for today’s rapidly growing power demands. Micora is rebuilding energy development from the ground up; transforming what has historically been a bespoke, multi-year construction process into a repeatable and scalable manufacturing system.\r\n\r\nAs demand from data centers, advanced manufacturing, and electrification strains existing power infrastructure, the ability to deploy new generation quickly is becoming increasingly valuable. Micora is building the infrastructure platform needed to deliver power wherever and whenever it is needed.", "one_liner": "Solar farm in a box built anywhere in days", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789148682, "tags": [ "Energy Storage", "Robotics", "Solar Power", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/micora", "api": "https://yc-oss.github.io/api/batches/fall-2026/micora.json" }, { "id": 35257, "name": "Nodus Compute", "slug": "nodus-compute", "former_names": [ "Nodus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf5d37476e8f7b170957ddb85fd0254d52fa2634.png", "website": "https://www.nodus-compute.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Intelligent execution layer for AI workloads", "one_liner": "Intelligent execution layer for AI workloads", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1788063210, "tags": [ "Artificial Intelligence", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/nodus-compute", "api": "https://yc-oss.github.io/api/batches/fall-2026/nodus-compute.json" }, { "id": 35258, "name": "Mirrors", "slug": "mirrors", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e98a564b21ba044528e16126406d35b7464044b7.png", "website": "https://www.runmirrors.com", "all_locations": "San Francisco, CA, USA", "long_description": "Mirrors provides regression testing for AI agents.\r\n\r\nTeams shipping agents constantly change prompts, models, and tools, and there's no way to test any of it. Agents call bespoke internal tools and APIs no test framework can reproduce, so most teams ship on vibes.\r\n\r\nMirrors rebuilds the tools your agent calls from your own production traces, then replays real sessions against every change before it merges. You see which tool calls changed, which arguments moved, and where state landed differently. And when something fails, we tell you whether your agent regressed or something upstream moved.\r\n\r\nBuilt for teams whose agents take irreversible actions. Refunds, record updates, outbound email.\r\n\r\nRuns in your CI on every PR.", "one_liner": "Catch and fix AI agent regressions before they reach production", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1789011304, "tags": [ "Developer Tools", "SaaS", "B2B", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mirrors", "api": "https://yc-oss.github.io/api/batches/fall-2026/mirrors.json" }, { "id": 35260, "name": "OnePatch", "slug": "onepatch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7832df887d718a7dbfbcec376ef2b160c31b16da.png", "website": "https://onepatch.dev", "all_locations": "San Francisco, CA, USA", "long_description": "OnePatch is a forward-deployed AI SRE. It instruments your services, watches how they actually behave in prod, catches incidents, and drives each one to resolution. Think Datadog, except it doesn't stop at telling you something broke: it keeps going until the fix is shipped.", "one_liner": "Automate on-call at agent-scale.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788469833, "tags": [ "DevOps", "Automation", "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": false, "url": "https://www.ycombinator.com/companies/onepatch", "api": "https://yc-oss.github.io/api/batches/fall-2026/onepatch.json" }, { "id": 35261, "name": "Asakana", "slug": "asakana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/582ebf9f01453d95f2c02b9bac341aff365af875.png", "website": "https://www.asakana.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Restaurants send orders to food distributors by email, text, and photo. Someone at the distributor retypes every one of them into the ERP. Asakana does that entry instead: orders land in the ERP already entered, and anything unclear goes to a person before it goes in. Live at US seafood distributors today, returning 40%+ of order-desk time to selling. Founded by a seafood distributor and a Gemini builder.", "one_liner": "AI order entry for food distributors: emails and texts to ERP", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer -> Food and Beverage", "launched_at": 1788189674, "tags": [ "SaaS", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Food and Beverage" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/asakana", "api": "https://yc-oss.github.io/api/batches/fall-2026/asakana.json" }, { "id": 35265, "name": "Hopper", "slug": "hopper", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6640b732eb4efe17f2fb11ff75f6f6bc14184872.png", "website": "https://withhopper.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our customers use Hopper today for two things: replacing GPT-4.1 with Gemma-4 (6x faster), and replacing Elevenlabs with qwen3-tts (8x cheaper).", "one_liner": "Fast inference for voice", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1788561875, "tags": [ "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hopper", "api": "https://yc-oss.github.io/api/batches/fall-2026/hopper.json" }, { "id": 35289, "name": "ByteAsk", "slug": "byteask", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bcbfe2855ffcd587858880c19e9ea0940b81943.png", "website": "https://byteask.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "ByteAsk is an AI coding agent built for C and C++, the code that runs trading systems, cars, chips, and operating systems. It does not stop at a diff that looks right. ByteAsk builds, debugs, and tests every change with the real toolchain until the change holds. If the compiler, the debugger, or the tests can catch it, then ByteAsk catches it too. It runs from the terminal or inside VS Code, Neovim, and Emacs, and is available fully on-prem.", "one_liner": "The AI coding agent for C and C++", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788984366, "tags": [ "Developer Tools", "Generative AI", "SaaS", "Enterprise Software", "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": false, "url": "https://www.ycombinator.com/companies/byteask", "api": "https://yc-oss.github.io/api/batches/fall-2026/byteask.json" }, { "id": 35290, "name": "Antropi Robotics", "slug": "antropi-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "website": "https://www.antropi.world/", "all_locations": "Bengaluru, KA, India", "long_description": "", "one_liner": "Autonomous CNC factories for faster hardware", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786284917, "tags": [ "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/antropi-robotics", "api": "https://yc-oss.github.io/api/batches/fall-2026/antropi-robotics.json" }, { "id": 35395, "name": "Workers IO", "slug": "workers-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12ec3720a247bad2e5a39d162b68e217ed6b74bd.png", "website": "https://workers.io", "all_locations": "San Francisco, CA, USA", "long_description": "Workers IO verifies your entire system across millions of interleaving, faults, and timings to find the exact conditions that break the software properties you care about.\r\n\r\nBuilt for teams where 99.99% uptime is table-stakes. ", "one_liner": "Simulation Environments for Verifying Mission Critical Software", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1787942068, "tags": [ "Artificial Intelligence", "Developer Tools", "B2B", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "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": false, "url": "https://www.ycombinator.com/companies/workers-io", "api": "https://yc-oss.github.io/api/batches/fall-2026/workers-io.json" }, { "id": 35454, "name": "Shepherd Robotics", "slug": "shepherd-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "website": "https://shepherdrobotics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks.\r\nWe train our systems on a combination of real world and simulation data so they can learn complex manipulation skills and generalize across workflows. We are starting with tasks such as data center construction and operations, cable and wire manufacturing, wire harness assembly, kitting, and factory packaging, where traditional automation struggles with variability, dexterity, and changing environments.", "one_liner": "Robots for high skilled labor powering AI infrastructure", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789000982, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/shepherd-robotics", "api": "https://yc-oss.github.io/api/batches/fall-2026/shepherd-robotics.json" }, { "id": 35455, "name": "Deploy", "slug": "deploy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6dfc92f7424bb0bf42d6c2a92684adaf6b5189a9.png", "website": "https://deploy-robo.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Deploy's core belief is that robots should be useful. Getting a generalist robot to do real work is fundamentally the same problem across industries. We build everything between the model and the task to bring generalist robots to the businesses that actually need them.", "one_liner": "The generalist robot deployment company.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789089952, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/deploy", "api": "https://yc-oss.github.io/api/batches/fall-2026/deploy.json" }, { "id": 35521, "name": "ORO AI", "slug": "oro-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b66a9717c54294ba9f6e296bb8c04f9c3da74d27.png", "website": "https://www.oroagents.com", "all_locations": "Vancouver, BC, Canada", "long_description": "We're building the open benchmark for commerce.\r\n\r\nBuilders submit shopping agents. Independent validators run them against problems that change daily. The best agent earns the rewards, and every run becomes training data.", "one_liner": "Continuously improving evals for agentic commerce", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788891308, "tags": [ "Artificial Intelligence", "Crypto / Web3", "Consumer Products" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/oro-ai", "api": "https://yc-oss.github.io/api/batches/fall-2026/oro-ai.json" }, { "id": 35522, "name": "Hemlock", "slug": "hemlock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbacf68d8da77e7a11ad346712dd48cf4d50347d.png", "website": "https://hemlock.info", "all_locations": "San Francisco, CA, USA", "long_description": "Every serious robotics lab is bottlenecked on the same thing: demonstration data. The field has converged on egocentric video and hand pose as the substrate, and both are now cheap to collect at scale. What neither of them contains is force. A video of someone picking up an egg and a video of someone picking up a rock are nearly identical in pixel space and nearly identical in joint angles. They differ almost entirely in a quantity nobody is recording. Policies trained without it learn geometry and inherit no sense of touch.\r\n\r\nHemlock closes that gap at the source. Our device, the Bracelet, is a wrist-worn surface EMG band that reads the electrical activity of the forearm muscles that actually drive the hand, which means it recovers contraction force directly rather than inferring it from motion. This distinction is the whole thesis: force cannot be reconstructed downstream of kinematics, because a hand squeezing hard isometrically and a hand resting can occupy the identical pose. Muscle signal is the only non-invasive channel that separates them.", "one_liner": "Force-sensing wristband for training robotic AI", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786491305, "tags": [ "Hard Tech", "Hardware" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hemlock", "api": "https://yc-oss.github.io/api/batches/fall-2026/hemlock.json" }, { "id": 35525, "name": "Orca Aerospace", "slug": "orca-aerospace", "former_names": [ "Otter Aerospace Inc.", "Orca Aerospace Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afa6ce6fe3345bb9e7b6296e9877371ada8e2155.png", "website": "https://orcaaerospace.com/", "all_locations": "San Francisco, CA, USA", "long_description": "At Orca, we are focused on creating the future of spacecraft operations by moving control onto the vehicle. By allowing LLMs to control the satellite using deterministic tooling, we are able to achieve the same holistic, high-quality decisions on \"what\" to do to carry out a mission while maintaining the safety of systems that decide \"how\" to execute it. ", "one_liner": "AI spacecraft operators that lives onboard the vehicle", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1788312802, "tags": [ "AIOps", "Space Exploration", "Satellites" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/orca-aerospace", "api": "https://yc-oss.github.io/api/batches/fall-2026/orca-aerospace.json" }, { "id": 35652, "name": "SuperRadiant", "slug": "superradiant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15a7e2a5caa04595d7620cd8161f3b2cffd00a51.png", "website": "https://superradiant.co", "all_locations": "San Francisco, CA, USA", "long_description": "Every instance of intelligence occurring in nature is embodied. Scientific intelligence is no different. We are building general-purpose robotic experimentalists: systems that unite scientific reasoning and physical action to iterate toward discovery by observing, hypothesizing and experimenting.", "one_liner": "Embodied Scientific Intelligence", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1788918386, "tags": [ "Robotics", "Energy", "Advanced Materials", "AI", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/superradiant", "api": "https://yc-oss.github.io/api/batches/fall-2026/superradiant.json" }, { "id": 35784, "name": "Vorelios", "slug": "vorelios", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c02b36f4ca2283601c8f20e89597a38768ae9db9.png", "website": "https://vorelios.com", "all_locations": "San Francisco, CA, USA", "long_description": "Engineering is bottlenecked by slow, costly simulations. We're fixing that by building foundation models that learn physics end-to-end and deliver the same results in seconds, at a fraction of the cost.", "one_liner": "A foundation model for engineering physics", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1786417769, "tags": [ "Artificial Intelligence", "Hard Tech", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/vorelios", "api": "https://yc-oss.github.io/api/batches/fall-2026/vorelios.json" }, { "id": 35850, "name": "Dreamscale Labs", "slug": "dreamscale-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a1d1aaa10413e5d45ca3d2aefe2fb4b682e7fb4.png", "website": "https://dreamscalelabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dreamscale Labs is building the fastest cloud inference platform for robotics. As complex physical AI models become difficult to fit on expensive on-robot GPUs, we let users offload inference to the cloud and serve them with real-time latency. So far, we've hit 40-50% lower latency than existing neoclouds.\r\n", "one_liner": "Running robot brains in the cloud", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1788577910, "tags": [ "Artificial Intelligence", "Robotics", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/dreamscale-labs", "api": "https://yc-oss.github.io/api/batches/fall-2026/dreamscale-labs.json" }, { "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": false, "url": "https://www.ycombinator.com/companies/halmos-labs", "api": "https://yc-oss.github.io/api/batches/fall-2026/halmos-labs.json" }, { "id": 36084, "name": "Covera", "slug": "covera", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e711e58f600a9ea3c53a45d934c825989e9b5b57.png", "website": "https://www.covera-agents.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Covera builds AI agents for insurance brokers. Our ready-to-use agents take over the day-to-day servicing work: submission intake, carrier quoting, quote comparison, claims handling, past-due collections, and account rounding. That means brokers can spend their time advising and selling clients instead of doing data entry. We work with agencies of every size and connect natively to the tools they already use.", "one_liner": "AI-native OS for insurance brokers", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1787324338, "tags": [ "AIOps" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/covera", "api": "https://yc-oss.github.io/api/batches/fall-2026/covera.json" }, { "id": 36086, "name": "Hesper AI", "slug": "hesper-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22aa0e43c8572c7233989f7b9c4d18841280c577.png", "website": "https://gethesperai.com", "all_locations": "New York City, NY, USA", "long_description": "Hesper AI builds AI agents that investigate P&C insurance claims end to end.\r\n\r\nHesper’s agents read the claim file, detect tampered documents, verify facts, check coverage, flag inconsistencies, and produce an audit-ready case file in minutes, so insurers can check every claim. \r\n\r\nWe work with Claims and SIU orgs at Carriers, MGAs and TPAs,", "one_liner": "AI Claims Investigator for Insurance", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1788805829, "tags": [ "Insurance", "Fraud Detection", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/hesper-ai", "api": "https://yc-oss.github.io/api/batches/fall-2026/hesper-ai.json" }, { "id": 36348, "name": "antimattr", "slug": "antimattr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3266646a9815f7e3ed31c088c4008df6e8fb0101.png", "website": "https://antimattr.one/", "all_locations": "San Francisco, CA, USA", "long_description": "antimattr builds a voice-first hardware interface for human-agent interaction that includes a ring and a pair of earphones. Designed to make more of your voice, the ring can record and summarise your conversations, capture thoughts on the go, or control your agents. The earphones use proprietary voice isolation technology to block out background noise entirely, so you can take a clear call from a loud pub or dictate with real accuracy.\r\n\r\nReserve early access at https://www.antimattr.one/project-mnemosyne\r\n[use code YC at checkout]", "one_liner": "voice-first hardware interface for human-agent interaction", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1786922449, "tags": [ "Hardware", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/antimattr", "api": "https://yc-oss.github.io/api/batches/fall-2026/antimattr.json" }, { "id": 36411, "name": "Vyra", "slug": "vyra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad073b0df3558383dd73b1125d5e326d63c3e12.png", "website": "https://usevyra.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous video editing for non-editors. Instead of making users…", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1789166415, "tags": [ "Video", "Automation", "SMB" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Content" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/vyra", "api": "https://yc-oss.github.io/api/batches/fall-2026/vyra.json" }, { "id": 36708, "name": "Sinter", "slug": "sinter-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/392a3938deea813eb9351409e9ac2cd528e737d7.png", "website": "https://sinter.systems", "all_locations": "El Segundo, CA, USA", "long_description": "Sinter is creating a faster and radically more affordable American plastics pipeline, helping iteration heavy hardware teams evolve from additive prototypes to production parts on week-scale timelines.", "one_liner": "Accelerating scaled plastics with additive technologies", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1788569774, "tags": [ "3D Printing", "Manufacturing", "Advanced Materials" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sinter-systems", "api": "https://yc-oss.github.io/api/batches/fall-2026/sinter-systems.json" }, { "id": 36777, "name": "Sona8", "slug": "sona8", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbb7f2bc6b3848168f970a704b24b37c2b125f25.png", "website": "https://sona8.com", "all_locations": "San Francisco, CA, USA", "long_description": "Sona8 is a voice agent that talks to every employee in a company about how their work gets done.\r\n\r\nEach employee gets a link and talks to the agent for about 20 minutes. The agent asks follow-up questions, for example why a step is still done by hand or who else is involved. From the conversations we build process maps and a list of the problems people described, sorted by site and team.\r\n\r\nThat is the start. We then stay on through the implementation. After each initiative is rolled out, the agent goes back to the employees involved and asks whether it was implemented and what changed in their daily work. The transformation team sees this after every rollout step.\r\n\r\nThe result is a project management office that has talked to every employee. That context did not exist before, because nobody had the time to collect it.\r\n\r\nConsulting firms use it to gather ideas at the start of an engagement instead. Transformation and corporate development teams use it to guide the execution of strategic transformation.", "one_liner": "Voice agents that talk to employees enabling transformations ", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1788994017, "tags": [ "Artificial Intelligence", "HR Tech", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/sona8", "api": "https://yc-oss.github.io/api/batches/fall-2026/sona8.json" }, { "id": 36940, "name": "Quippy", "slug": "quippy", "former_names": [ "Quippy App, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97c02b937035318f812614d4d9362e5c060a6f72.png", "website": "https://quippyapp.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quippy is a daily practice app for your social life. You run short, realistic practice conversations, like pushing back on a boss or talking during a first date, and get line-by-line feedback on what landed and what backfired. The curriculum adapts to each person's patterns, reshaping itself around their weak spots, ensuring steady improvement in the conversations that matter most.", "one_liner": "Helps build social skills through daily practice", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1787760832, "tags": [ "AI-Enhanced Learning", "Social", "Health & Wellness" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/quippy", "api": "https://yc-oss.github.io/api/batches/fall-2026/quippy.json" }, { "id": 37272, "name": "The Subvocal Company", "slug": "the-subvocal-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cacc4ab40596ece6b5c77c3f350ee25ddf5cb079.png", "website": "https://subvocal.company", "all_locations": "San Francisco, CA, USA", "long_description": "We're building a silent speech wearable that lets you talk to your computer at the speed of voice, but silently and completely imperceptibly to everyone around you.", "one_liner": "Talk to your computer without talking", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1788050504, "tags": [ "Hard Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/the-subvocal-company", "api": "https://yc-oss.github.io/api/batches/fall-2026/the-subvocal-company.json" }, { "id": 37273, "name": "Frontrunner", "slug": "frontrunner", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9d85abe63d98ee4de2bf8d852d5f9cf4ad82e21.png", "website": "https://usefr.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Build agents that research accounts, find prospects, run campaigns, update your CRM, qualify inbound, and more. Connect them to the systems you already use and let them work alongside your GTM team.\r\n\r\nEngineer your revenue factory on Frontrunner. ", "one_liner": "Cursor for GTM", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1788967219, "tags": [ "Artificial Intelligence", "Sales", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/frontrunner", "api": "https://yc-oss.github.io/api/batches/fall-2026/frontrunner.json" }, { "id": 37566, "name": "The Agentic Data Co.", "slug": "the-agentic-data-co", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72ebbcacfd48c52bf6fc298c17ddf035a00bbc08.png", "website": "https://theagenticdatacompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "We design and collect audio datasets for training speech models.", "one_liner": "Training Data For Speech Models.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1788964517, "tags": [ "Artificial Intelligence", "Conversational AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/the-agentic-data-co", "api": "https://yc-oss.github.io/api/batches/fall-2026/the-agentic-data-co.json" }, { "id": 37600, "name": "Redoubt Insurance", "slug": "redoubt-insurance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ee4cc24084cdd9a8a0fe0d70982248244d6fd3a.png", "website": "https://www.redoubt.agency", "all_locations": "Salt Lake City, UT, USA", "long_description": "Redoubt is a commercial insurance agency for small businesses. We believe our customers are our most important business partners, and they deserve our full attention. Machines can already handle the boring parts, the next step is to continually learn from experience. ", "one_liner": "Commercial insurance for small businesses", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1787707764, "tags": [ "Artificial Intelligence", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/redoubt-insurance", "api": "https://yc-oss.github.io/api/batches/fall-2026/redoubt-insurance.json" }, { "id": 38061, "name": "Maritime", "slug": "maritime", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8ff801ef7e9094077a292c8bed3e86ce7e01f00.png", "website": "https://maritime.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime is cloud infrastructure for AI agents. We help companies give every customer an agent running in its own isolated, persistent computer, starting at $1 per agent per month. Maritime handles hosting, scaling, and sleep/wake automatically, so developers can run thousands of agents without managing the infrastructure.", "one_liner": "The managed cloud for AI agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1788209179, "tags": [ "Developer Tools", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/maritime", "api": "https://yc-oss.github.io/api/batches/fall-2026/maritime.json" }, { "id": 38127, "name": "DeepMark", "slug": "deepmark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c443c87dd89559f3656ebd3f92b941ded93ff4dd.png", "website": "https://www.deepmark.me", "all_locations": "San Francisco, CA, USA", "long_description": "DeepMark is the authentication layer for AI voice. When an AI agent speaks, we embed a compact, machine-readable ID directly into the audio, not in metadata, which gets stripped the moment a file is touched. The ID resolves to a trust record, so a bank, a call center, or the person on the line can verify in real time who the agent is.", "one_liner": "A live watermark inside AI voice that survives phone calls", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1789029188, "tags": [ "Deep Learning", "B2B", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/deepmark", "api": "https://yc-oss.github.io/api/batches/fall-2026/deepmark.json" } ]