[ { "id": 690, "name": "Neptune.io", "slug": "neptune-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/282992bccaef3812d15f0bc6b45e2cce6670a8d0.png", "website": "http://neptune.io", "all_locations": "San Mateo, CA, USA", "long_description": "Neptune is an observability startup that offers one-stop incident enrichment and automation platform for IT Operations and DevOps teams.\r\n\r\nIt is a fact of life that servers and applications go down causing IT outages. Today most of the IT incident response is manual, tedious and lengthy resulting in more downtime and losses for businesses. At the same it's very painful for a DevOps engineer to wake up at midnight and on weekends to deal with server and application alerts. \r\n\r\nEnter Neptune, which lets a DevOps engineer automate his incident response steps --Troubleshooting + Resolution + Documentation, so that he/she can fix the incidents in minutes instead of hours. So it's a win-win deal : For businesses downtime is minimized, and for DevOps engineers they need not worry about a deluge of alerts and midnight wake up calls.\r\n\r\nBig companies like Amazon, Facebook etc built sophisticated incident response tools to achieve high availability and resiliency. We have architected and built one such tool for AWS. Now Neptune is making one such tool available for everyone. \r\n\r\nGive it a try at www.neptune.io", "one_liner": "A self-healing platform to enrich and fix server alerts automatically", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1398907889, "tags": [ "AIOps", "DevOps", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Inactive", "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/neptune-io", "api": "https://yc-oss.github.io/api/batches/summer-2014/neptune-io.json" }, { "id": 925, "name": "Fountain", "slug": "fountain", "former_names": [ "OnboardIQ" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2ac289c0156c41e04d1f111b1eeac68ebcc6117.png", "website": "http://fountain.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Fountain’s all-in-one high volume hiring platform empowers the world’s leading enterprises to find the right people through smart, fast, and seamless recruiting. Candidates can apply anytime, anywhere in minutes, right from their phone. Automated and customizable processes streamline the candidate experience and save time for recruitment teams so they can scale with growing hiring needs. Advanced analytics provide end-to-end process visibility so managers can make swift, data-driven decisions. Throughout the candidate journey, the openly integrated platform enables companies to find, qualify and convert more applicants. Fountain’s global customers hire over 1.2 million workers annually in 78 countries.", "one_liner": "High volume hiring made simple", "team_size": 200, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1430156127, "tags": [ "AIOps", "Marketplace", "SaaS", "HR Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/fountain", "api": "https://yc-oss.github.io/api/batches/summer-2015/fountain.json" }, { "id": 1518, "name": "FloydHub", "slug": "floydhub", "former_names": [ "Floyd" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.floydhub.com/", "all_locations": "San Francisco, CA, USA", "long_description": "FloydHub is a Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.", "one_liner": "ML Platform for developing, training and deploying ML models", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1478662833, "tags": [ "AIOps", "Machine Learning", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "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/floydhub", "api": "https://yc-oss.github.io/api/batches/winter-2017/floydhub.json" }, { "id": 12091, "name": "Superb AI", "slug": "superb-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/557ab62b86d1ab472dd3665292fc28d7191fb8b9.png", "website": "https://www.superb-ai.com", "all_locations": "San Mateo, CA, USA", "long_description": "Superb AI is a leading computer vision platform and professional services provider that provides enterprise-grade, end-to-end MLOps and DataOps workflows to accelerate the adoption and development of data-centric AI. Through the practical application of AI-based automation, Superb AI helps teams manage the entire ML lifecycle more efficiently, from data annotation to curation, model training, and deployment, while ensuring optimal data accuracy and consistency.", "one_liner": "Superb AI provides end-to-end computer vision MLOps platform", "team_size": 65, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1541714572, "tags": [ "AIOps", "Artificial Intelligence", "SaaS", "B2B", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/superb-ai", "api": "https://yc-oss.github.io/api/batches/winter-2019/superb-ai.json" }, { "id": 12612, "name": "Prolific", "slug": "prolific", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fd1b95b945a732dc771d25aeb58a9a5926ee534.png", "website": "https://www.prolific.com", "all_locations": "London, England, United Kingdom", "long_description": "Prolific helps dedicated research teams to collect the very highest-quality human-powered data - at scale - using our simple-to-use platform to target and manage participants from our diverse, vetted participant pool.\r\n\r\nThe truth matters: the best decisions, and biggest discoveries, are built on the highest-quality data. And with the increasing proliferation of AI, access to reliable, diverse data to develop and train AI models has never been more important.\r\n\r\nCreated by researchers for researchers, Prolific was founded to provide a better way for researchers and organisations to get high-quality human data and feedback at scale for important research.\r\n\r\nNow, more than 30,000 researchers across academia and industry use Prolific to gather definitive human data and feedback from reliable, engaged and fairly-treated participants – with a new study launched every 3 minutes.\r\n\r\n", "one_liner": "Making diverse, high-quality data easily available to anyone, anywhere", "team_size": 180, "industry": "B2B", "subindustry": "B2B", "launched_at": 1556594097, "tags": [ "AIOps", "Marketplace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2019", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "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/prolific", "api": "https://yc-oss.github.io/api/batches/summer-2019/prolific.json" }, { "id": 23430, "name": "Mystic", "slug": "mystic", "former_names": [ "Neuro AI", "Neuro", "Mystic", "Mystic AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f860b32ddb9b39b9b1ae8c22f0c17f140dc5e9d4.png", "website": "https://www.mystic.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models.\r\nOnce uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.", "one_liner": "Low latency API to run and deploy ML models", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1614265935, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Machine Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "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/mystic", "api": "https://yc-oss.github.io/api/batches/winter-2021/mystic.json" }, { "id": 23530, "name": "Waydev AI", "slug": "waydev-ai", "former_names": [ "Waydev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png", "website": "https://waydev.co/", "all_locations": "Menlo Park, CA, USA; Remote", "long_description": "Waydev tracks AI-generated code from commit to production. AI Checkpoints capture which agent wrote each change, tokens consumed, cost per PR, acceptance rate, and whether it actually deployed — so you can compare Copilot, Cursor, and Claude Code on real production outcomes, not vibes.\r\n\r\nEngineering leaders use Waydev to measure AI adoption by team, monthly spend, and tokens per developer, then tie it back to delivery. The Waydev Agent answers plain-English questions about your AI investment (\"which team gets the most ROI from Cursor?\").\r\n\r\nBuilt for VPs of Engineering and CTOs at companies running real AI coding budgets.\r\n\r\nTrusted by Dropbox, American Express, Caterpillar, and PwC. YC W21.", "one_liner": "Track AI-generated code from commit to production", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1616455133, "tags": [ "AIOps", "Artificial Intelligence", "Analytics", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/waydev-ai", "api": "https://yc-oss.github.io/api/batches/winter-2021/waydev-ai.json" }, { "id": 23781, "name": "Openlayer", "slug": "openlayer", "former_names": [ "Unbox", "OpenLayer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35b3b987d05aeeeea2e5ed41eb9bc474ea3d6529.png", "website": "https://openlayer.com", "all_locations": "San Francisco, CA, USA", "long_description": "Openlayer is the governance platform for AI applications.", "one_liner": "The fastest way to ship airtight AI", "team_size": 19, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1625008531, "tags": [ "AIOps", "Developer Tools", "Generative AI", "Machine Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/openlayer", "api": "https://yc-oss.github.io/api/batches/summer-2021/openlayer.json" }, { "id": 23978, "name": "Rootly", "slug": "rootly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/458bec513b681478458c39da4795bf6502d09edb.png", "website": "https://rootly.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Rootly is a modern on-call and incident management platform used by top YC companies like Dropbox, Lattice, Webflow, Faire, but also Figma, LinkedIn, NVIDIA and 100s more.", "one_liner": "AI-native on-call and incident response carefully crafted to help…", "team_size": 75, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1625761934, "tags": [ "AIOps", "Developer Tools", "SaaS", "B2B", "Security" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/rootly", "api": "https://yc-oss.github.io/api/batches/summer-2021/rootly.json" }, { "id": 24476, "name": "Zensors", "slug": "zensors-inc", "former_names": [ "Zensors Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/01f2ed9f6b2573e18e28f42a8c260ee15a0a777a.png", "website": "https://www.zensors.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI to understand and automates the physical world", "team_size": 12, "industry": "B2B", "subindustry": "B2B", "launched_at": 1630100572, "tags": [ "AIOps", "Artificial Intelligence" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B" ], "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/zensors-inc", "api": "https://yc-oss.github.io/api/batches/summer-2021/zensors-inc.json" }, { "id": 25311, "name": "Lumina", "slug": "lumina", "former_names": [ "Lumina", "TazkerAI / Lumina" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79b74bf1a8009a0f4c3b0fd036ff57515ff6760b.png", "website": "https://www.lumibot.com", "all_locations": "Singapore, Singapore; Remote", "long_description": "🚀 Lumina💧 (YC W22) is a fast growing job platform in Southeast Asia with 1.5 million workers, helping 30k companies recruit and optimize at scale.\r\n\r\n🤖 We are now expanding globally with Lumibot, a bespoke AI+human-powered automation service. We help companies automate mundane, repetitive processes with AI and human-in-the-loop catering for various use cases in data ops and complex workflows. This allows your business to focus on your core and grow faster, better and cheaper.\r\n\r\n👌Our AI-powered automation start with USD 13/hour, supplemented with human-in-the-loop at USD 2-6/hour. Our services are managed based on SLAs by dedicated service managers under a prepaid credit system without arduous contracts for optimum flexibility. No minimum commitment with fully-refundable deposit from as low as USD 500^.\r\n\r\n🛠️ We currently support the following use cases:\r\n1) operations support\r\n2) revenue operations support\r\n3) web and social media management\r\n4) email management\r\n5) content moderation\r\n6) AI training and verification\r\n7) AI text humanization\r\n8) custom process automation\r\n... with more to come ...\r\n\r\n👥️️ Lumibot (by Lumina) is backed by Y-Combinator, Monk's Hill Ventures, Alpha JWC, Goodwater Capital, SWC Global and January Capital.\r\n\r\nMore information about us:\r\n* 💬 WA: https://wa.me/message/SEMGBRM22MDYK1\r\n* 📅 CAL: https://usemotion.com/meet/aswin-andrison/global\r\n* 🌐 WEB: https://www.lumibot.com\r\n\r\n^ Reach out to us on special deals ONLY for YC companies! ", "one_liner": "AI+human powered automation on job-community platform with 1.5M…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1643648054, "tags": [ "AIOps", "Marketplace", "SaaS", "Community", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Singapore", "Southeast Asia", "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/lumina", "api": "https://yc-oss.github.io/api/batches/winter-2022/lumina.json" }, { "id": 25561, "name": "LanceDB", "slug": "lancedb", "former_names": [ "ETO", "Eto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b3b44ab11047bbfddb4bfe44c9d2d3c87027258.png", "website": "https://lancedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.", "one_liner": "Open-source, serverless vectordb for production-scale generative AI", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1648263864, "tags": [ "AIOps", "Machine Learning", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lancedb", "api": "https://yc-oss.github.io/api/batches/winter-2022/lancedb.json" }, { "id": 25610, "name": "RedBrick AI", "slug": "redbrick-ai", "former_names": [ "RedBrick AI", "RedBrick AI (Zantula", "Inc.)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/10e60623a6f9ead582ef32a7eb60d830f6544cbe.png", "website": "https://redbrickai.com", "all_locations": "Claymont, DE, USA; MH, India", "long_description": "RedBrick AI's mission is to accelerate the adoption of artificial intelligence in radiology by building world-class software infrastructure. Currently, we are focused on helping radiology AI teams prepare high-quality datasets to train their algorithms.\r\n\r\nRadiology data, such as CT and X-ray scans, is an incredibly important source of truth in healthcare delivery. In fact, over 90% of all healthcare data is medical imagery! However, the global radiology workforce is overburdened. In the UK, for example, only 2% of radiology departments are able to fulfill their reporting requirements, and this trend is reflected worldwide.\r\n\r\nThe acute state of radiology, coupled with the abundance of data, makes the use of AI in radiology a prime candidate. In 2022, $5.6 billion was invested in the development of AI in healthcare! However, a key hindrance to further adoption is the lack of sophisticated tools to build and deploy AI algorithms in clinical environments. This is the problem we’re focused on at RedBrick AI\r\n\r\nWe're a team based out of Bangalore India, and USA. We're backed by leading institutional investors like Y Combinator and Peak XV (formerly Sequoia Capital India). ", "one_liner": "Rapid medical data annotation", "team_size": 13, "industry": "B2B", "subindustry": "B2B", "launched_at": 1642587658, "tags": [ "AIOps", "Machine Learning", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "India", "America / Canada", "South Asia", "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/redbrick-ai", "api": "https://yc-oss.github.io/api/batches/winter-2022/redbrick-ai.json" }, { "id": 25715, "name": "SubscriptionFlow", "slug": "subscriptionflow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ea5429baf87f6ffc90d9204f3b44880844aead6.png", "website": "http://www.subscriptionflow.com", "all_locations": "London, England, United Kingdom; San Francisco, CA, USA", "long_description": "SubscriptionFlow is an AI-based customizable revenue management platform that helps SMBs optimize subscription revenue. It monitors user activity to identify customers at risk of churning and automatically alerts the sales team.\r\n\r\nFor example, eLearning/SaaS/Membership businesses require to monitor subscription usage to improve customer retention. Ecommerce/Magazine companies need to see the subscription trends to cross-sell and upsell products/services.\r\n", "one_liner": "AI based Customizable Subscription & Revenue Management Platform", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1643142434, "tags": [ "AIOps", "Fintech", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United Kingdom", "United States of America", "Europe", "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/subscriptionflow", "api": "https://yc-oss.github.io/api/batches/winter-2022/subscriptionflow.json" }, { "id": 26066, "name": "Query Vary", "slug": "query-vary", "former_names": [ "Syncware Pte Ltd", "Syncware" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd0d06c611bd85e89ae37ce4e652e975ca7a2a46.png", "website": "https://queryvary.com", "all_locations": "San Francisco, CA, USA", "long_description": "Query Vary is a no-code tool for building LLM-powered automation. \r\n\r\nExample use cases include extracting information from a sales call transcript and piping it into a CRM, creating a Slack bot trained on product documentation, or transforming Google forms into fully formatted reports.\r\n\r\nInput Software --> LLM --> Output Software\r\n\r\nOur extensive toolset to make each workflow reliable sets Query Vary apart. \r\n\r\nBook a demo:\r\nhttps://calendar.app.google/6oxEvZA2k4kK6dBa8", "one_liner": "No-Code LLM Application / Workflow Builder", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1644001179, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/query-vary", "api": "https://yc-oss.github.io/api/batches/winter-2022/query-vary.json" }, { "id": 26666, "name": "Airtrain AI", "slug": "airtrain-ai", "former_names": [ "Sematic AI", "Sematic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75317513ffcf6008b389c1e9fada5072394a8511.png", "website": "https://airtrain.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Airtrain AI is a no-code data platform for Large Language Models.\r\n\r\nProprietary AI models such as GPT-4 are very powerful but also very costly, slow, unreliable, and unsecured.\r\n\r\nAs businesses look to scale their AI prototypes into production-grade products, they struggle with large AI bills, slow APIs and large failure rates.\r\nOn the other hand, smaller language models have been proven to be able to perform on-part with large ones with fine-tuned on high-quality datasets.\r\n\r\nAirtrain AI lets AI practitioners explore alternatives to proprietary models, build up training datasets, evaluate, fine-tune, and serve a large selection of open-source LLMs.", "one_liner": "No-code data curation for LLM fine-tuning and evaluation.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1657048120, "tags": [ "AIOps", "Developer Tools", "SaaS", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "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/airtrain-ai", "api": "https://yc-oss.github.io/api/batches/summer-2022/airtrain-ai.json" }, { "id": 26750, "name": "NuMind", "slug": "numind", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a271d83ee825be78f44453963c65aea56395a341.png", "website": "https://www.numind.ai", "all_locations": "Cambridge, MA, USA", "long_description": "NuMind is a tool for data scientists, data analysts, but also software engineers to create custom NLP models. For example, a recruiting company uses NuMind to find which job offers best match a given resume. Etienne (CEO) was head of Machine Learning at Wolfram Research, and Samuel (CTO) co-founded Make.org (8M users). NuMind originated from our own frustration when developing NLP models. Leveraging large language models similar to GPT-3, NuMind allows to complete NLP projects at least 10x faster than before. We launched a private beta August 2 and had 9 paying customers one month later.", "one_liner": "Create custom NLP models", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1656275044, "tags": [ "AIOps", "Artificial Intelligence", "Machine Learning", "NLP" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/numind", "api": "https://yc-oss.github.io/api/batches/summer-2022/numind.json" }, { "id": 27666, "name": "Middleware", "slug": "middleware", "former_names": [ "Middleware Labs Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc8d28e84cb985c9cc0b597aae845c99c32f9a23.png", "website": "https://www.middleware.io", "all_locations": "San Francisco, CA, USA", "long_description": "Middleware is a full-stack cloud observability platform. We allow the dev and ops teams to debug the issue faster by bringing all the metrics, logs, traces, and events to a single unified timeline and train data to AI so it can give better insight into infrastructure and application. \r\n\r\n- Single command installation to collect all the metrics, logs, traces, and events.\r\n- AI-based anomaly and error detection \r\n- GPT 4-based error resolution\r\n- Support Infrastructure monitoring, Logs, APM, Kubernetes Monitoring, Synthetic Monitoring, RUM, Custom dashboard, and Alerts. \r\n- Full-stack observability, observe any stack at any scale.\r\n\r\nWe are at Middleware and wanted to make cloud observability faster, cheaper, and better. \r\n", "one_liner": "AI-based full stack observability platform", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1674636018, "tags": [ "AIOps", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/middleware", "api": "https://yc-oss.github.io/api/batches/winter-2023/middleware.json" }, { "id": 27821, "name": "PoplarML", "slug": "poplarml", "former_names": [ "Poplar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e108e35156cecf90efeb1f504d510fca87ce7b44.png", "website": "http://poplarml.com", "all_locations": "San Francisco, CA, USA", "long_description": "PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.", "one_liner": "Deploy Machine Learning Models with One Command", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1674681330, "tags": [ "AIOps", "Artificial Intelligence", "Machine Learning", "B2B", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "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/poplarml", "api": "https://yc-oss.github.io/api/batches/winter-2023/poplarml.json" }, { "id": 27919, "name": "Helicone", "slug": "helicone", "former_names": [ "Prompt Zero", "TableTalk", "Valyr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png", "website": "https://www.helicone.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.\r\n\r\n### Key Features\r\n\r\n1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.\r\n\r\n2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.\r\n\r\n3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.\r\n\r\n### Built for Developers and Data Scientists\r\n\r\nHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.\r\n\r\nBy combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.", "one_liner": "LLM Observability for Developers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675832219, "tags": [ "AIOps", "Developer Tools", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/helicone", "api": "https://yc-oss.github.io/api/batches/winter-2023/helicone.json" }, { "id": 28081, "name": "DAGWorks Inc.", "slug": "dagworks-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94a18b5c0cc3a340150d731fa97acee3a6a56ebd.png", "website": "https://www.dagworks.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We’re on a mission to enable everyone to build reliable AI agents & AI applications. We're fully open source, and provide a unique integrated development & observability experience for those building anything in the AI space. This is the first step towards laying the foundations for Composable AI Systems; all AI systems need observability and introspection to be first class for them to be reliable.\r\n\r\nHow? We're standardizing how people write python to express data, ML, LLM, & agent workflows/pipelines/applications with lightweight frameworks. So that no matter the author, it'll be easy to collaborate, connect, and importantly in one line integrate observability and datastore needs. This speeds up time to production and reduces TCO because code remains easy to maintain and your data flywheel stays manageable. So you can increase the top line & bottom line of your business by delivering on AI that is reliable.\r\n\r\nWe've got two open source projects:\r\n- one focused on AI applications, called Burr (https://github.com/dagworks-inc/burr).\r\n- one focused on AI pipelines/workflows, called Hamilton (https://github.com/dagworks-inc/hamilton) see https://www.tryhamilton.dev\r\n\r\nBoth Hamilton & Burr come with self-hostable UIs (+ enterprise & SaaS offerings). With a one-line code change, you get versioning, lineage / tracing, cataloging, and observability out of the box with Hamilton. With Burr you get tracing, observability and persistence in a single line addition.\r\n", "one_liner": "Open source tools & services for reliable AI Agents & AI Applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1672773099, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Generative AI", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/dagworks-inc", "api": "https://yc-oss.github.io/api/batches/winter-2023/dagworks-inc.json" }, { "id": 28409, "name": "LiteLLM", "slug": "litellm", "former_names": [ "Clerkie", "BerriAI", "LiteLLM", "BerriAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34f2cd4e65f065f81d234d6cfb21f911860e50cc.png", "website": "https://www.litellm.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "LiteLLM is an open-source LLM Gateway with 18K+ stars on GitHub and trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. LiteLLM provides an open source Python SDK and Python FastAPI Server that allows calling 100+ LLM APIs (Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic) in the OpenAI format\r\n\r\nWe have raised a $1.6M seed round from Y Combinator, Gravity Fund and Pioneer Fund", "one_liner": "Call every LLM API like it's OpenAI [100+ LLMs]", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675814900, "tags": [ "AIOps", "Developer Tools", "Generative AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "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/litellm", "api": "https://yc-oss.github.io/api/batches/winter-2023/litellm.json" }, { "id": 28815, "name": "Atla", "slug": "atla", "former_names": [ "Atla", "atla", "Atla", "atla" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.png", "website": "https://www.atla-ai.com/", "all_locations": "London, England, United Kingdom", "long_description": "Find and fix your agent’s most critical failures in hours, not days.\r\n\r\nAtla helps developers cut time spent on manually reviewing traces. Atla’s LLM judge evaluates your agent step-by-step, uncovers error patterns across runs, and suggests specific fixes—so you know exactly what to fix and why.\r\n\r\nAtla supports the most popular agent frameworks teams build with, including LangChain, CrewAI, and OpenAI Agents. With real-time monitoring, automated error detection, and prompt experimentation, Atla gives teams the visibility and control needed to confidently ship agentic systems that work. \r\n\r\nWe’re a team of researchers, engineers, entrepreneurs and operational leaders. Our expertise in evals was honed through training our own purpose-built LLM Judges, Selene and Selene Mini, which are available open-source and have been downloaded 60,000+ times.", "one_liner": "The improvement engine for AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687465633, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/atla", "api": "https://yc-oss.github.io/api/batches/summer-2023/atla.json" }, { "id": 28998, "name": "Automorphic", "slug": "automorphic", "former_names": [ "Sibyl" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6632890863ba8f97b3c98f84ce71158a24887e9a.png", "website": "https://automorphic.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Automorphic has invented a way to infuse knowledge into LLMs via fine-tuning (surpassing context window limitations), enabling developers to rapidly iterate on and successively improve custom models cheaply and efficiently.", "one_liner": "Infuse knowledge into language models with just 10 samples", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1691588844, "tags": [ "AIOps", "Deep Learning", "Developer Tools", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/automorphic", "api": "https://yc-oss.github.io/api/batches/summer-2023/automorphic.json" }, { "id": 28999, "name": "Baserun", "slug": "baserun", "former_names": [ "Mochi Labs", "baserun.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/690380b4e86d38cde32c248c69764afbcf933aed.png", "website": "https://baserun.ai", "all_locations": "San Francisco, CA, USA", "long_description": "LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.", "one_liner": "Observability and evaluation platform for LLM apps.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691548192, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "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/baserun", "api": "https://yc-oss.github.io/api/batches/summer-2023/baserun.json" }, { "id": 29004, "name": "Chatter", "slug": "chatter", "former_names": [ "Cram" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf0019c6ad5bec3a367e3a88e2bc4f39705513aa.png", "website": "https://chatter.anish.xyz", "all_locations": "Philadelphia, PA, USA", "long_description": "Chatter is Postman for LLMs. Our platform helps companies and developers test their LLM models. Iterate on prompts, run them across model families and evaluate them against test cases – all in one place. With collaboration features, engineers can design LLM chains while QA can write test cases. \r\n", "one_liner": "Dead simple LLM testing and iteration", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1691454323, "tags": [ "AIOps", "Developer Tools", "Generative AI", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B" ], "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/chatter", "api": "https://yc-oss.github.io/api/batches/summer-2023/chatter.json" }, { "id": 29134, "name": "Cognitio Labs", "slug": "cognitio-labs", "former_names": [ "Flair Technology Services Inc.", "Flair", "Flair Health", "Flair Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "website": "https://cognitioiq.com", "all_locations": "San Francisco, CA, USA", "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality teams.\r\n\r\nWe help mission-critical food supply chains stay aligned across documents like CoAs, lab results, and supplier communication to ensure the highest-grade product quality and accuracy.\r\n\r\nBacked by Y Combinator and leading investors. The organization is deeply aligned with the Sustainable Development Goals, having presented via the the World Economic Forum's SmartStart Initiative, and the International Telecommunication Union's AI for Good program in partnership with the United Nations.\r\n\r\nWe are starting with food and expanding into other regulated, high-risk supply chains.\r\n\r\nLearn more at https://cognitioiq.com", "one_liner": "AI back office for food product quality teams", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1690407835, "tags": [ "AIOps", "B2B", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials" ], "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/cognitio-labs", "api": "https://yc-oss.github.io/api/batches/summer-2023/cognitio-labs.json" }, { "id": 29187, "name": "OpenPipe", "slug": "openpipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78827e9e8ab6d62b5e66b11dffea9ae771b7d97a.png", "website": "https://openpipe.ai/", "all_locations": "Seattle, WA, USA", "long_description": "OpenPipe is an SDK that abstracts away fine-tuning custom models. We capture your existing provider’s prompt-completion pairs in the background and use them to create a new model that is faster, cheaper and often more accurate than the original.", "one_liner": "Turn expensive prompts into cheap fine-tuned models", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690818525, "tags": [ "AIOps", "Artificial Intelligence", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "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/openpipe", "api": "https://yc-oss.github.io/api/batches/summer-2023/openpipe.json" }, { "id": 29325, "name": "Respan", "slug": "respan", "former_names": [ "Keywords AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/511c79fc4e10857bff72dd38626234991f19c62c.png", "website": "https://respan.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Respan (formerly Keywords AI) gives teams a unified control plane to trace and evaluate agent behavior without guesswork, automatically surface issues, and fix what breaks faster. Respan connects production observability, automated and human-in-the-loop evaluations, and an adaptive AI gateway to close the loop between detection, decision, and action - so agents improve continuously in production.\r\n\r\nRespan is trusted by 100+ AI startups and enterprise teams. Today, the platform process 1B+ logs and 2T+ tokens every month, supporting more than 6.5M end users.", "one_liner": "Self-driving observability, evals, and gateway for AI agents", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1711136962, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "SaaS", "Monitoring" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/respan", "api": "https://yc-oss.github.io/api/batches/winter-2024/respan.json" }, { "id": 29572, "name": "Domu Technology Inc.", "slug": "domu-technology-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f79a6b55a8ecb1f2df2490b9567644b34d67880.png", "website": "https://www.domu.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Domu automates debt-collection calls, texts, and emails for financial services and healthcare. We work with some of the largest financial institutions in the world and win by doing what nobody else is willing to do. We are hiring :)", "one_liner": "AI Agents for collections", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1719086771, "tags": [ "AIOps", "Call Center", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/domu-technology-inc", "api": "https://yc-oss.github.io/api/batches/summer-2024/domu-technology-inc.json" }, { "id": 29639, "name": "Callback", "slug": "callback", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95750da7b7330678c36367adeb82ef6c7a2f5049.png", "website": "https://getcallback.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Leading enterprises use Callback to manage complicated, real-world workflows. We integrate with your systems, not the other way around. Our platform serves as an auditable and permissioned system of record for your operations.", "one_liner": "Effortless AI automation for business operations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1723590693, "tags": [ "AIOps", "B2B", "Automation", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/callback", "api": "https://yc-oss.github.io/api/batches/summer-2024/callback.json" }, { "id": 29643, "name": "Sage Care", "slug": "sagecare", "former_names": [ "Clara", "Sage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8391ef28b31f763fdf577fc8631f259459023eb8.png", "website": "https://sagecare.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Sage is a HIPAA compliant, AI-native communication platform that makes home care agency client-intake handling smarter, faster, and more reliable.\r\n\r\nTeams that use Sage can save over 100 minutes of busywork per prospect, freeing up their teams to manage a larger, faster growing business.", "one_liner": "Automating home care agency operations with AI", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1722734654, "tags": [ "AIOps", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/sagecare", "api": "https://yc-oss.github.io/api/batches/summer-2024/sagecare.json" }, { "id": 29647, "name": "Maitai", "slug": "maitai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c3c6b9b422d6e861a26fcf29a7acd2c4eae136af.png", "website": "https://trymaitai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Maitai makes building reliable AI applications easy. We autocorrect faulty model output in real-time and automatically fine-tune models that learn from their mistakes. This means our customers get more reliable results immediately, and over time, they gain custom models built specifically for their application that only get better and faster. You wouldn’t hire an employee who doesn’t learn from their mistakes—so why use a model that doesn’t? Maitai is here to deliver the next generation of reliable AI inference.", "one_liner": "Reliable, self-improving enterprise AI", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1716914094, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "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/maitai", "api": "https://yc-oss.github.io/api/batches/summer-2024/maitai.json" }, { "id": 29649, "name": "Wordware", "slug": "wordware", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff410def03c8c58c3adc7db9615becc8164804e3.png", "website": "https://wordware.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "AI Agents have arrived. They are powerful enough to read, plan, and act across your everyday life and work. The question is no longer whether they can run canned demos to check the weather, it’s whether real teams can rely on them for critical work. We optimize for adoption over spectacle: useful, accountable systems that help top professional complete real tasks.\r\n\r\nWordware is backed by Spark Capital, Felicis, and Y Combinator, with a $30M seed round. Our beautiful, historic San Francisco office sits in the shadow of the Golden Gate Bridge, it’s full of plants and radiates innovation and calm. We genuinely love working together. At lunch we talk about alignment and AI consciousness, we have surfboards in the office ready to use, we take walking meetings on the beach and hang out after work at the bar or climbing wall. We work really hard because we care deeply about what we do.\r\n\r\nSauna is Wordware’s AI workspace for professionals. Think ‘Cursor for Knowledge Work’ and you’re halfway there. With explicit permission, it connects to tools like Gmail, Calendar, Slack, and thousands more, to gather the right context to move your work forward. It learns who you are, drafts and refines your documents, presentations, and datasets, researches across the web and your org’s internal knowledge, summarizes long threads to cut through the noise, proposes next steps, even acts on your behalf when enabled. You can work with Sauna live, side-by-side, or schedule jobs to run automatically in the background, with clear permissions and easy off-switches. Sauna brings the power of AI Agents to all professionals.", "one_liner": "AI agents you can rely on", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1715713232, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/wordware", "api": "https://yc-oss.github.io/api/batches/summer-2024/wordware.json" }, { "id": 29660, "name": "Hyrex", "slug": "hyrex", "former_names": [ "Kura" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c33003b33c54f32f641d1dd6956b58f331c3842d.png", "website": "https://www.hyrex.io", "all_locations": "San Francisco, CA, USA", "long_description": "Hyrex is a task orchestration framework that uses PostgreSQL (or Hyrex Cloud) as a durable task queue. Define tasks in Python or TypeScript, send them to be processed asynchronously, and let Hyrex handle the rest.\r\n\r\nHyrex tasks are COLD: Controllable, Observable, Large-Scale, and Durable!", "one_liner": "The COLD Task Framework", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1724200248, "tags": [ "AIOps", "Developer Tools", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/hyrex", "api": "https://yc-oss.github.io/api/batches/summer-2024/hyrex.json" }, { "id": 29676, "name": "Elevate", "slug": "elevate-2", "former_names": [ "Elev4te" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de959e87a5bda5b32dabf7dc904953d947ff5842.png", "website": "https://www.useelevate.dev/", "all_locations": "New York, NY, USA", "long_description": "Elevate is bringing AI to private equity-backed roll-ups. \r\n\r\nFor example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. \r\n\r\nWe know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days. ", "one_liner": "Automated AI data integrations for roll-ups", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1718146562, "tags": [ "AIOps", "Artificial Intelligence", "Finance", "B2B", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "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/elevate-2", "api": "https://yc-oss.github.io/api/batches/summer-2024/elevate-2.json" }, { "id": 29782, "name": "Laminar", "slug": "laminar", "former_names": [ "Laminar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f68c82dc13524e235198c783318ae1b1aa5d7432.png", "website": "https://laminar.sh", "all_locations": "London, England, United Kingdom", "long_description": "Laminar is open-source observability for AI agents. Trace complex workflows, replay and debug agent runs, and detect anomalies across trajectories at scale.", "one_liner": "Understand why your AI agent breaks. Iterate fast to fix it.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1721337823, "tags": [ "AIOps", "Developer Tools", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/laminar", "api": "https://yc-oss.github.io/api/batches/summer-2024/laminar.json" }, { "id": 29825, "name": "Sepal AI", "slug": "sepal-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78c48b77fe0ad236d148f827dd2ba0b86450afd3.png", "website": "https://www.sepalai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI.\r\n\r\nWe partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do.\r\n\r\nWe’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable.\r\n\r\nSepal AI was founded in 2024 by engineers and operators from Vercel and Turing. We went through Y Combinator, raised several million dollars from leading investors, and already count multiple Fortune 500s and top AI research labs as paying customers.", "one_liner": "Data Development for Advanced AI", "team_size": 15, "industry": "B2B", "subindustry": "B2B", "launched_at": 1722966351, "tags": [ "AIOps", "Reinforcement Learning", "Data Labeling", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Acquired", "industries": [ "B2B" ], "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/sepal-ai", "api": "https://yc-oss.github.io/api/batches/summer-2024/sepal-ai.json" }, { "id": 29950, "name": "Pipeshift", "slug": "pipeshift", "former_names": [ "Xylem AI", "Pipeshift AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6dc8136429eadec250bda86f1102143f81a24beb.png", "website": "https://pipeshift.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pipeshift helps engineering teams run real-time inference in production. We offer optimized runtimes to meet latency/throughput SLAs, paired with infrastructure orchestration that auto-scales and routes workloads across clusters and regions at cost-effective rates.", "one_liner": "Ultra-low latency inference cloud for real-time workloads", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1717199794, "tags": [ "AIOps", "Artificial Intelligence", "Infrastructure", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/pipeshift", "api": "https://yc-oss.github.io/api/batches/summer-2024/pipeshift.json" }, { "id": 30078, "name": "Abundant", "slug": "abundant", "former_names": [ "Abundant (prev. Scorecard)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac0261264b03915325cd897f5bcb7484eec48903.png", "website": "https://www.abundant.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Hello! 👋\r\n\r\nWe are a team of former ML engineers, founders, roboticists and ops leads who obsess about data and its impact on safe, reliable AI.\r\n\r\nWe specialize in creating environments and datasets for RL by leveraging our experience in simulation and model training.\r\n\r\nBy the numbers:\r\n • Powering 3 of the top 6 global AI labs and multiple Fortune 500 enterprises\r\n • Billions of training tokens generated each month, 2x month over month\r\n • Exclusive, global network of over 500 domain experts\r\n\r\nWe believe humans are inherently creative, and thrive by pushing the frontier.\r\n\r\nWe are working towards an abundant future--one where everyone has access to infinite intelligence, services and goods.\r\n\r\nBased in San Francisco, CA. We enjoy good food and good company.\r\n\r\n-- more info below --\r\n\r\nAbundant is building the NVIDIA of training data. AI models rely on two fundamental ingredients: compute and data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.\r\n\r\nOur founding team consists of second-time founders, ML engineers and data leads from Waymo, Google, Meta and AWS. Our team has previously collaborated with DeepMind to classify hate speech in YouTube videos, trained SOTA models for self-driving, and scaled data pipelines with thousands of human annotators. Our pioneering work in human computation, synthetic data, imitation learning and RL give us a solid advantage in delivering results to our customers.\r\n\r\nWhy now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require new, diverse, and high-quality datasets, making training data more important and scarce than ever before.\r\n\r\nWhat happens if we succeed? Abundant will be the core enabler for AGI and beyond. Most of the challenges in model training are already solved. What’s missing is the data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from digital intelligence to physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, i.e. “abundant data”.\r\n\r\nAbundant works with the most advanced AI labs and startups, as well as F500 enterprises.", "one_liner": "Agent simulation and RL for researchers", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731958841, "tags": [ "AIOps", "Artificial Intelligence", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "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/abundant", "api": "https://yc-oss.github.io/api/batches/fall-2024/abundant.json" }, { "id": 30264, "name": "Stillwind", "slug": "stillwind", "former_names": [ "P2P Industries", "Augento" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1b36aa3102c0461123d8bc84ffc46b58b33f3a9.png", "website": "https://stillwind.ai", "all_locations": "Zürich, ZH, Switzerland", "long_description": "Our first product, Stillwind Search, makes finding an electronic part as easy as writing a text message. \r\nThe search engine turns natural language queries into fine-grained specifications that are matched against our proprietary database of millions of parts. \r\n\r\nThis is the first step towards autonomous electrical engineering.", "one_liner": "Autonomous Electrical Engineering", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1740421634, "tags": [ "AIOps", "Artificial Intelligence", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/stillwind", "api": "https://yc-oss.github.io/api/batches/winter-2025/stillwind.json" }, { "id": 30272, "name": "Lucidic AI", "slug": "lucidic-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f666d84f3ea0fbb63226b5b84cd46c97e83f4414.png", "website": "https://lucidic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lucidic emulates model training without changing model weights. The last decade made models intelligent, but intelligence is not the same as experience. Humans do not get better by memorizing thousands of examples; we build learning systems around ourselves: skills, memories, critique, practice, tools, and guidance. And every person learns differently because every task is different. Lucidic brings that idea to AI agents by training a custom learning system for each agent, so it learns what to remember, what skills to build, when to ask for help, and how to improve from experience. The model provides the intelligence, Lucidic gives it a way to learn.", "one_liner": "Reimagining how Machines Learn ", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1736904770, "tags": [ "AIOps", "Developer Tools", "SaaS", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/lucidic-ai", "api": "https://yc-oss.github.io/api/batches/winter-2025/lucidic-ai.json" }, { "id": 30333, "name": "TensorPool", "slug": "tensorpool", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79bd0c6f85962c1282260ab60adb0462fdb87ec8.png", "website": "https://tensorpool.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.", "one_liner": "Vercel For GPUs", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738629191, "tags": [ "AIOps", "Developer Tools", "SaaS", "DevOps", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/tensorpool", "api": "https://yc-oss.github.io/api/batches/winter-2025/tensorpool.json" }, { "id": 30455, "name": "The LLM Data Company", "slug": "the-llm-data-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/005788a0c189061ca9f07ab8f45073430685851b.png", "website": "https://www.llmdata.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The LLM Data Company is training models in data scarce verticals", "one_liner": "Frontier models for critical domains", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747787326, "tags": [ "AIOps", "Generative AI", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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-llm-data-company", "api": "https://yc-oss.github.io/api/batches/spring-2025/the-llm-data-company.json" }, { "id": 30500, "name": "Besimple AI", "slug": "besimple-ai", "former_names": [ "Simple Annotation", "besimple ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8305d688995d7c8f184d463f02f3ded6947c12e7.png", "website": "https://besimple.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We are building the data layer for AI, starting with audio. \r\n\r\nWe start with data collection, curating our own proprietary set of diverse conversational data covering a wide range of languages, dialects and accents. We then leverage human expert audio annotators and our own annotation platform to process audio data for Automatic Speech Recognition. \r\n\r\nWith human level transcription and diarization, our data help push the audio model frontier. Today we have over millions of hours of conversational data, and growing. \r\n\r\nIf you need audio data for training or evaluating your voice models or voice agents, reach out! We offer flexible licensing deals that work for startups and enterprises, with minimal process. \r\n\r\nAudio data should besimple :) ", "one_liner": "Voice data for AI", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1747861843, "tags": [ "AIOps", "Artificial Intelligence", "Data Labeling" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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/besimple-ai", "api": "https://yc-oss.github.io/api/batches/spring-2025/besimple-ai.json" }, { "id": 30521, "name": "Kairos", "slug": "kairos", "former_names": [ "Janus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b44f7b050ecc3ee1451baeb4e0a733b19937955.png", "website": "https://www.withkairos.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Kairos closes the last-mile reliability gap in AI deployments. \r\n\r\nWe bring frontier techniques to companies in critical industries, deploying specialized agents that encode operator expertise and reliably automate their most manual workflows.", "one_liner": "Specialized AI for Critical Industries", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1748466933, "tags": [ "AIOps", "Machine Learning", "Reinforcement Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "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/kairos", "api": "https://yc-oss.github.io/api/batches/spring-2025/kairos.json" }, { "id": 30539, "name": "mlop", "slug": "mlop", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3af9294b241ac810c538d00aea0a921d1229099f.png", "website": "https://mlop.ai", "all_locations": "London, England, United Kingdom", "long_description": "A fully open-source, performant and actionable ML model training platform\r\n", "one_liner": "Experiment tracking for training ML models", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1746826132, "tags": [ "AIOps", "Developer Tools", "Machine Learning", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mlop", "api": "https://yc-oss.github.io/api/batches/spring-2025/mlop.json" }, { "id": 30596, "name": "Adaptional", "slug": "adaptional", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ea52a7c833e951c693eafd9561453164d5bf74c.png", "website": "https://www.adaptional.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Adaptional is building agentic AI for insurance claims. Claims are 75% of every dollar in the $1T insurance industry -- and one of the most under-optimized areas, still managed by adjusters working hundreds of files by hand. We're changing this with AI claims review agents, already deployed at some of the major P&C carriers. \r\n\r\nIn the future, claims will be powered by an intelligence layer that manages files and escalates actions to human adjusters. Adaptional is building the AI system that will be the foundation for every claims department across P&C insurance.", "one_liner": "AI-powered insurance claims review", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758589841, "tags": [ "AIOps", "Artificial Intelligence", "Insurance", "Enterprise", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "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/adaptional", "api": "https://yc-oss.github.io/api/batches/summer-2025/adaptional.json" }, { "id": 30651, "name": "Alter", "slug": "alter", "former_names": [ "Alter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a30946452aaca1a7c8b4b8fefafd9807f194243.png", "website": "https://alterauth.com", "all_locations": "New York, NY, USA", "long_description": "Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things.\r\n\r\nEach request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit.\r\n\r\nWith Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.", "one_liner": "Secure access control and authorization platform for agent workflows", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1752476002, "tags": [ "AIOps", "Developer Tools", "DevSecOps", "Security", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Security" ], "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/alter", "api": "https://yc-oss.github.io/api/batches/summer-2025/alter.json" }, { "id": 30768, "name": "Okibi", "slug": "okibi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2add42dcef83667e3ac21f0eabb0f202583f5d0c.png", "website": "https://okibi.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Okibi is a web app that lets you create AI coworkers using natural language.\r\n\r\nIt's like Lovable for creating AI agents that talk to your internal software\r\n\r\nCorporate users lose 2 hours every day doing tasks that can be automated with agents\r\n\r\nBut existing agent builders have janky drag and drop UIs that don’t map to what they want exactiy.\r\n\r\nOkibi lets everyone use natural language to build the exact agent they want.", "one_liner": "Build AI coworkers using natural language, it's Lovable for agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1752707566, "tags": [ "AIOps", "B2B", "Automation", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "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/okibi", "api": "https://yc-oss.github.io/api/batches/summer-2025/okibi.json" }, { "id": 30804, "name": "Luminal", "slug": "luminal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/200fe1fa3e40bd9aed419582490f17ed6cf00c37.png", "website": "https://luminal.com", "all_locations": "San Francisco, CA, USA", "long_description": "Luminal builds an ML framework and compiler that generates GPU code.\r\nOur stack 10x's model speed while simplifying deployment and cutting idle GPU costs\r\n\r\nGithub: https://github.com/luminal-ai/luminal\r\nDiscord: https://discord.gg/APjuwHAbGy", "one_liner": "Making AI run fast on any hardware.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1752295982, "tags": [ "AIOps", "Developer Tools", "Cloud Computing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/luminal", "api": "https://yc-oss.github.io/api/batches/summer-2025/luminal.json" }, { "id": 30903, "name": "Kestrel AI", "slug": "kestrel-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png", "website": "https://usekestrel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kestrel is the AI automation layer for platform engineering teams.\r\n\r\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, and developer requests across their stack.\r\n\r\nKestrel turns natural-language prompts into deterministic, production-ready workflows with 25+ integrations, 140+ pre-built actions, and support for custom HTTP and webhook actions.\r\n\r\nDeveloper-first, with a CLI, Python SDK, and MCP server to manage workflows from where platform teams already work.", "one_liner": "AI Agents for Platform Engineering", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1761187283, "tags": [ "AIOps", "Developer Tools", "DevOps", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Security" ], "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/kestrel-ai", "api": "https://yc-oss.github.io/api/batches/fall-2025/kestrel-ai.json" }, { "id": 31165, "name": "IncidentFox", "slug": "brownie", "former_names": [ "Brownie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43fb964e8e0ca12dcc1000b4c4c2d6be7ffc203e.png", "website": "https://incidentfox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI SRE agents that automatically learn each customer’s system so they work just like an in-house engineer.", "one_liner": "AI SRE agent that triages, coordinates, and fixes production incidents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1771353224, "tags": [ "AIOps", "Artificial Intelligence", "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/brownie", "api": "https://yc-oss.github.io/api/batches/winter-2026/brownie.json" }, { "id": 31295, "name": "Carrot Labs", "slug": "carrot-labs", "former_names": [ "Anyware" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9d56ba5bab1fb6c9a7734a1a8aab7b6fbc48ed.png", "website": "https://superpenguin.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "The problem: \r\nAI has quietly become one of the largest and fastest-growing line items for companies. Spend is scattered across a dozen provider consoles that each show one number at the end of the month and nothing about why it moved. There's no unified view, and no way to trace a dollar back to the customer, feature, team, or even the pull request that caused it.\r\n\r\nWhich customers are unprofitable once you subtract their AI costs? Which feature is quietly burning your Anthropic budget? Is this week's spike a runaway loop or real growth? How much did that AI-written PR actually cost to ship?\r\nToday teams reverse-engineer answers by exporting CSVs from each provider and stitching them together in a spreadsheet, and by the time they do, the money is already spent.\r\n\r\nWhat SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, AWS Bedrock, Azure, Modal, Cursor, OpenRouter, and more).\r\n\r\n* Zero-code setup: connect an API key and costs sync automatically with model-level breakdowns, trends, and forecasts\r\n* Per-request attribution: add two lines with our Python or TypeScript SDK to tag every AI call by customer, feature, team, or environment (or any other metadata).\r\n* AI coding cost per PR: connect Cursor to see engineering spend attributed to each pull request, repo, and developer, so you know what it actually costs to ship.\r\n* Alerts on budget thresholds and spend anomalies, delivered to Slack, email, or Discord.\r\n\r\nMost teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.", "one_liner": "AI Cost Management: Track and attribute AI spend across every provider", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772517831, "tags": [ "AIOps", "Artificial Intelligence", "FinOps", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/carrot-labs", "api": "https://yc-oss.github.io/api/batches/winter-2026/carrot-labs.json" }, { "id": 32520, "name": "Cerenovus", "slug": "cerenovus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a13c4ae7edff5a24b83b854a2058c28537c3a533.png", "website": "https://www.cerenovus.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph.\r\n\r\nOn top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them.\r\n\r\nIn practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks.\r\n\r\nToday, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.", "one_liner": "Aggregate company knowledge and make inferences", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1780900630, "tags": [ "AIOps", "Artificial Intelligence", "B2B", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "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/cerenovus", "api": "https://yc-oss.github.io/api/batches/summer-2026/cerenovus.json" }, { "id": 33738, "name": "Coasty", "slug": "coasty", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49c533e34b6c887207ac5683dd8dfab22709a458.png", "website": "http://coasty.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Coasty is a computer use agent that does real work inside softwares, companies already run. New web apps, old desktop tools, the legacy systems nobody wants to touch. You hand it a workflow and it owns the outcome.\r\nMost agents demo well and break the moment they hit real software. They get 18 steps out of 20 right, misclick once, and everything after is garbage. Coasty catches when it goes off track and fixes itself mid-task instead of starting over. It handles the messy parts, benchmarks never show. Permission dialogs, surprise pop-ups, a modal that steals focus, a page that loads slow. When a vendor pushes an overnight update and moves half the menus, brittle scripts break by morning. Coasty reads the screen instead of recording clicks, so it adapts and keeps going.\r\nIt also checks its own output and leaves a time-stamped trail you can replay. We won't pretend it gets every task right. Nothing automating this work does. What matters is what happens when something breaks. It catches the mistake, fixes what it can, and flags what it can't so a person can step in. Nothing fails quietly. That's what lets a team trust it on the work where a silent error gets someone fired.\r\nWe scored 82% on OSWorld, which puts us among the most reliable agents out there. Reliability is the whole product, not a feature.", "one_liner": "Building the future of knowledge work, RPA and SOPs using computer use", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1782294083, "tags": [ "AIOps", "Developer Tools", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 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/coasty", "api": "https://yc-oss.github.io/api/batches/summer-2026/coasty.json" } ]