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  {
    "id": 631,
    "name": "Wit.ai",
    "slug": "wit-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a24800a3244c11aac600b6958821d920becd8ea.png",
    "website": "http://wit.ai",
    "all_locations": "Palo Alto, CA, USA",
    "long_description": "Natural Language for the Internet of Things.\r\n\r\nWit.ai is an API that makes it easy for developers to build applications and devices that you can talk to. Any app, any device can use Wit.ai to take natural language input (speech or text message) from users and turn it into a command.\r\n\r\nWit.ai is a Y Combinator company based in Palo Alto, and funded by Andreessen Horowitz.",
    "one_liner": "Natural Language for Developers --Wit is an API that makes it easy…",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1384979096,
    "tags": [
      "Developer Tools",
      "NLP",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2014",
    "status": "Acquired",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/wit-ai",
    "api": "https://yc-oss.github.io/api/batches/winter-2014/wit-ai.json"
  },
  {
    "id": 695,
    "name": "PicnicAI",
    "slug": "picnicai",
    "former_names": [
      "PicnicHealth"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbf45bc323953c8df6c8183d0e549e723e5e1a71.png",
    "website": "https://picnic.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "PicnicAI deploys AI into the real-world complexity of care delivery and clinical research. PicnicHealth helps patients navigate fragmented care with AI-powered tools backed by a clinical team, giving them a unified view of their health across all their doctors. PicnicResearch makes clinical research faster, cheaper, and more reliable, using AI agents and direct patient relationships to change the economics of drug development so that more treatments reach the patients who need them.",
    "one_liner": "Intelligence to accelerate human health.",
    "team_size": 100,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1398907926,
    "tags": [
      "Machine Learning",
      "Health Tech",
      "Digital Health",
      "Healthcare",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
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    "batch": "Summer 2014",
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    "industries": [
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    ],
    "regions": [
      "United States of America",
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      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/picnicai",
    "api": "https://yc-oss.github.io/api/batches/summer-2014/picnicai.json"
  },
  {
    "id": 1238,
    "name": "Mosaix.ai",
    "slug": "mosaix-ai",
    "former_names": [
      "SayMosaic",
      "Mosaix"
    ],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "https://mosaix.ai",
    "all_locations": "Palo Alto, CA, USA",
    "long_description": "Voice AI are changing the way people interact with contents and services. At Mosaix we are building an advanced a language AI platform for enterprise, with a focus on underserved emerging markets. ",
    "one_liner": "Mosaix builds the NLP for the local languages at the emerging markets.",
    "team_size": 20,
    "industry": "Consumer",
    "subindustry": "Consumer -> Transportation Services",
    "launched_at": 1461256817,
    "tags": [
      "NLP",
      "Emerging Markets"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2016",
    "status": "Inactive",
    "industries": [
      "Consumer",
      "Transportation Services"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mosaix-ai",
    "api": "https://yc-oss.github.io/api/batches/summer-2016/mosaix-ai.json"
  },
  {
    "id": 1456,
    "name": "Shipamax",
    "slug": "shipamax",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0485262b3034147c1f753ae66224e32cd01bffa2.png",
    "website": "https://shipamax.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Shipamax's core technology can 'understand' any logistics document - outputting a business-ready, machine-readable format. \r\n\r\nWhy does this matter? When customers order online - it feels smooth & simple. But in the background it's chaos. When goods are physically moved around the world, there can be up to 20 companies involved in the transaction. Currently, this is a complex, messy process, with different systems and teams creating a mountain of manual work to get the job done.\r\n\r\nCustomers value our technology as we to help make these behind-the-sceens processes simple.\r\n\r\nWe're making one of the largest segments of the global economy – logistics – more scalable and adaptable to today's on-demand world.",
    "one_liner": "Simple, end-to-end automation for logistics orgs",
    "team_size": 32,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1478141416,
    "tags": [
      "Robotic Process Automation",
      "Logistics",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2017",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/shipamax",
    "api": "https://yc-oss.github.io/api/batches/winter-2017/shipamax.json"
  },
  {
    "id": 1484,
    "name": "RankScience",
    "slug": "rankscience",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0e1a686e82d7baf1431c13fde889f55c35832d4.png",
    "website": "https://www.rankscience.com",
    "all_locations": "San Francisco, CA, USA; New York, NY, USA; Remote",
    "long_description": "RankScience is the #1 trusted agency to grow SEO traffic for venture-backed Silicon Valley startups to the Fortune 500.",
    "one_liner": "Automated SEO for Startups",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1478224824,
    "tags": [
      "Artificial Intelligence",
      "Generative AI",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2017",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "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/rankscience",
    "api": "https://yc-oss.github.io/api/batches/winter-2017/rankscience.json"
  },
  {
    "id": 1563,
    "name": "ScopeAI",
    "slug": "scopeai",
    "former_names": [
      "Quiki"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ef928ade4bf8ee9ed7a1a6f031e860f272f0a2b.png",
    "website": "https://www.getscopeai.com",
    "all_locations": "Los Angeles, CA, USA; San Francisco, CA, USA",
    "long_description": "ScopeAI automates the process of communicating user insights to product and operation teams. The product leverages natural language processing (a form of AI) to extract insights from customer conversations. It integrates with existing support channels such as Zendesk, Intercom, Desk.com (salesforce) to automatically tag and analyze conversations for trends in customer feedback.",
    "one_liner": "Automatically extract valuable insights from customer service…",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1483477818,
    "tags": [
      "Artificial Intelligence",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2017",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/scopeai",
    "api": "https://yc-oss.github.io/api/batches/winter-2017/scopeai.json"
  },
  {
    "id": 1633,
    "name": "Plasticity",
    "slug": "plasticity",
    "former_names": [
      "Plasticity Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ae1a81c0b76312154e82224b9883070ca8b7b54.png",
    "website": "https://www.plasticity.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Plasticity builds APIs that help developers create human-like natural language interfaces. We believe in a future where computers can actually understand language and communicate.",
    "one_liner": "Natural language processing APIs for developers.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1493398724,
    "tags": [
      "Artificial Intelligence",
      "SaaS",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2017",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "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/plasticity",
    "api": "https://yc-oss.github.io/api/batches/summer-2017/plasticity.json"
  },
  {
    "id": 1679,
    "name": "Guggy",
    "slug": "guggy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa28fb445c63a9acb4446010160b71d264986514.png",
    "website": "https://guggy.com",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Guggy developed two innovative communication and creation products that reached global audiences. The Guggy API was a high-scale contextual messaging engine that analyzed text messages—including slang and short conversational fragments—to understand their meaning and automatically generate matching GIF responses. It combined a custom NLP engine, a relevance-matching system, and a real-time GIF regeneration pipeline, and was integrated into leading messaging platforms such as Facebook Messenger, Viber, Kik, Telegram, Slack, and major Asian chat apps, serving millions of requests per day.\r\n\r\nGuggy also created Bits, a short-form video creation app designed for actors, comedians, and everyday creators to craft original comedic scenes with ease. Bits provided intuitive but powerful tools for scripting, timing, character changes, audio control, and scene composition, enabling fast, high-quality creative expression. The app attracted tens of thousands of creators and was featured in Fast Company for its innovative approach to mobile video creation.",
    "one_liner": "Guggy is building the messaging app of the future with real time,…",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer -> Social",
    "launched_at": 1493917328,
    "tags": [
      "Messaging",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2017",
    "status": "Inactive",
    "industries": [
      "Consumer",
      "Social"
    ],
    "regions": [
      "Israel",
      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/guggy",
    "api": "https://yc-oss.github.io/api/batches/summer-2017/guggy.json"
  },
  {
    "id": 12015,
    "name": "Docucharm",
    "slug": "docucharm",
    "former_names": [
      "Formulate"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce8670ad965548754c2d980ab31a114335244c8a.png",
    "website": "http://www.docucharm.com",
    "all_locations": "Mountain View, CA, USA",
    "long_description": "",
    "one_liner": "Automate paperwork by turning documents into structured data.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1541480604,
    "tags": [
      "Artificial Intelligence",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Inactive",
    "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/docucharm",
    "api": "https://yc-oss.github.io/api/batches/winter-2019/docucharm.json"
  },
  {
    "id": 12550,
    "name": "Kraftful",
    "slug": "kraftful",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd3dcfbc4e3832c69cd097d276e4519742e599c7.png",
    "website": "http://www.kraftful.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Helping product builders to listen to users at scale so they can make something people want.",
    "one_liner": "Copilot for product teams",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1556079534,
    "tags": [
      "Artificial Intelligence",
      "Generative AI",
      "B2B",
      "NLP",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "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/kraftful",
    "api": "https://yc-oss.github.io/api/batches/summer-2019/kraftful.json"
  },
  {
    "id": 12851,
    "name": "Flowbot",
    "slug": "flowbot",
    "former_names": [],
    "small_logo_thumb_url": "/company/thumb/missing.png",
    "website": "https://www.getflowbot.com",
    "all_locations": "New York, NY, USA",
    "long_description": "",
    "one_liner": "A natural language-driven programming assistant.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1583948412,
    "tags": [
      "Artificial Intelligence",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "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/flowbot",
    "api": "https://yc-oss.github.io/api/batches/summer-2019/flowbot.json"
  },
  {
    "id": 22778,
    "name": "HyperGlue",
    "slug": "hyperglue",
    "former_names": [
      "Gemini AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a16e421a067f9b41e80bcc361abe747f87cfe040.png",
    "website": "https://www.hyperglue.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise.\r\n\r\nHyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.\r\n",
    "one_liner": "Business intelligence on text",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1651612188,
    "tags": [
      "Machine Learning",
      "B2B",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "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/hyperglue",
    "api": "https://yc-oss.github.io/api/batches/winter-2021/hyperglue.json"
  },
  {
    "id": 23200,
    "name": "Compose.ai",
    "slug": "compose-ai",
    "former_names": [
      "Compose"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b515e27253a5c01c3ecd7e702852c67956b341d.png",
    "website": "https://compose.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Compose AI is a free Chrome extension that helps automate your writing using AI. You know how Gmail autocompletes your emails? Compose.ai is like that but everywhere, like how Grammarly works.",
    "one_liner": "Cut your writing time by 40% with AI-powered autocomplete",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1614725087,
    "tags": [
      "Artificial Intelligence",
      "NLP",
      "Email"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "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/compose-ai",
    "api": "https://yc-oss.github.io/api/batches/winter-2021/compose-ai.json"
  },
  {
    "id": 24303,
    "name": "Cero",
    "slug": "cero",
    "former_names": [
      "CERO.AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28978000b8dcc240b064a1480e88b2e3fa90b056.png",
    "website": "https://cero.ai",
    "all_locations": "Santiago, Santiago Metropolitan Region, Chile; Remote",
    "long_description": "At Cero, we solve specific coordination tasks between hospitals and patients, such as appointment confirmations and last minute cancellations, by automatically communicating with patients over WhatsApp. For example, a patient can confirm and reschedule their appointment without needing to call anyone.\r\n\r\nAlmost half of the medical appointments in Latin America are missed because patients simply do not show up. This ranges from missing a regular dentist check to missing an expensive MRI scan. With increasing pressure to improve access to care in developing countries, optimizing communication and coordination with patients is a key task to achieve. This is a massive problem especially in places where most people don't know how to effectively use self-service mediums (or are too busy to use them).\r\n \r\nWe bootstrapped the company and we are profitable. As of August 2021 we have $97K in monthly revenue from 15 clients with a CMRG of 20% in the last year. We have 100% logo retention and we grow with our clients. We are currently coordinating over 600,000 medical appointments every month, just in Chile.\r\n\r\nThis problem represents a $3.5B market opportunity in Latin America only. Latin America has 650M people, each one having an average of 3 medical consultations per year. We charge for every time we effectively communicate with a patient. We plan to handle several coordination interactions with every patient for each consultation, which considers a roadmap of scheduling, confirming, booking, reimbursements, payments, among others.\r\n\r\nWe are a team mixing strong knowledge about the healthcare industry with deep technical skills. Felipe (CEO) is a former dentist that has led deep changes in healthcare payments in Chile. Mauricio (CTO) and Jorge (R&D), both PhD in Computer Science, led the creation of the most advanced Spanish Language Neural Network used daily by scientists and practitioners in LatAm (BETO: Spanish BERT).\r\n\r\nIn a weekend project, Mauricio and Jorge automated the communication with students attending a summer school obtaining impressive engagement. Felipe was struggling with contacting his patients to coordinate appointments, and saw a big opportunity in this technology. The three together have designed and run a solution that as of 2021 is coordinating over 600,000 patients per month in their home country, Chile.",
    "one_liner": "Automated communication between hospitals and patients in Latam",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1625106698,
    "tags": [
      "Machine Learning",
      "Consumer Health Services",
      "B2B",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Chile",
      "Latin America",
      "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/cero",
    "api": "https://yc-oss.github.io/api/batches/summer-2021/cero.json"
  },
  {
    "id": 25396,
    "name": "HomeRoom",
    "slug": "homeroom",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28c5f983626c200b08794eb57093e4b2320036df.png",
    "website": "https://livehomeroom.com/",
    "all_locations": "San Jose, CA, USA; Remote",
    "long_description": "Homeroom helps investors provide affordable housing while making a 22% ROI.\r\n\r\nWe do this by sourcing properties, arranging capital, managing construction, vetting tenants and collecting rent by the room. To date, Homeroom has brought on 85 property investors, growing 6X annually, are bringing in 420K in annualized net-revenue\r\n\r\nHow it works:\r\nWe help investors buy homes in cities that are attractive to young people, but lack affordable housing options.  We then renovate and after about 20 days, the home is ready and we find qualified renters by the room.\r\n\r\nWe launched in 2018 in Kansas City with 1 home. We now have 105 homes in 31 cities. In 2021, we grew rental GMV to $1.8M (300% YoY growth). Our average rent across every property is $458, which is about 50% lower than market comps, and our investors see returns up to 50% higher.\r\n\r\nWe are HomeRoom. Johnny is the financial analyst/domain expert. Thomas is a cereal entrepreneur with a PHD in ML, and Mike hacked growth for Airbnb and Facebook.",
    "one_liner": "We Rent Your Property by the Room.  You earn 50% more Rent.",
    "team_size": 25,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1643818108,
    "tags": [
      "Machine Learning",
      "Real Estate",
      "Proptech",
      "NLP",
      "Data Engineering"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
    "industries": [
      "Real Estate and Construction",
      "Housing and Real Estate"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "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/homeroom",
    "api": "https://yc-oss.github.io/api/batches/winter-2022/homeroom.json"
  },
  {
    "id": 25691,
    "name": "voize",
    "slug": "voize",
    "former_names": [
      "voize GmbH"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/437f8a6e2847546f303d55acd48f2ca6050b4e54.png",
    "website": "https://voize.de/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people. \r\n\r\nWe’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 100,000 nurses rely on our AI companion** to ease their daily workload.\r\n\r\nOur mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.",
    "one_liner": "We build the AI companion for nurses, to create time for care.",
    "team_size": 140,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1648233375,
    "tags": [
      "Machine Learning",
      "Speech Recognition",
      "Healthcare",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": true,
    "url": "https://www.ycombinator.com/companies/voize",
    "api": "https://yc-oss.github.io/api/batches/winter-2022/voize.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": 26863,
    "name": "Provision",
    "slug": "provision",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png",
    "website": "https://provision.com",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Provision is building the AI Estimator for construction. We identify risks and obligations in contracts, specs, and drawings so contractors can reduce time spent reviewing documents and focus on winning and delivering projects profitably. Backed by Y Combinator (S22).",
    "one_liner": "Ironclad for construction",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1653315975,
    "tags": [
      "Documents",
      "Machine Learning",
      "Construction",
      "Productivity",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/provision",
    "api": "https://yc-oss.github.io/api/batches/summer-2022/provision.json"
  },
  {
    "id": 27839,
    "name": "Cosine",
    "slug": "cosine",
    "former_names": [
      "Buildt"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e00745e7a3c3ee63862572e35ef2d37f8197af5.png",
    "website": "http://www.cosine.sh",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Cosine is a fully agentic SWE that allows you to instantly work on every single ticket at once, asynchronously. ",
    "one_liner": "Fully Agentic SWE",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1670878872,
    "tags": [
      "Artificial Intelligence",
      "Developer Tools",
      "Generative AI",
      "Machine Learning",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/cosine",
    "api": "https://yc-oss.github.io/api/batches/winter-2023/cosine.json"
  },
  {
    "id": 29177,
    "name": "Onyx",
    "slug": "onyx",
    "former_names": [
      "Danswer"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/def9ae8f0c06685a28e8184b828d9de7e1232ad3.png",
    "website": "https://www.onyx.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Onyx is the open source chat UI connected to your company’s docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!\r\n\r\nCheck us out on Github: https://www.github.com/onyx-dot-app/onyx\r\nOr visit our website: https://www.onyx.app/",
    "one_liner": "Open Source AI Chat",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1704724705,
    "tags": [
      "Open Source",
      "NLP",
      "Enterprise",
      "Search",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "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/onyx",
    "api": "https://yc-oss.github.io/api/batches/winter-2024/onyx.json"
  },
  {
    "id": 30888,
    "name": "Lakonia",
    "slug": "lakonia",
    "former_names": [
      "Bucinator"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4443807fceed8c4c07d359095cd0ddfa3435352b.png",
    "website": "https://lakonia.us.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lakonia is building an AI-powered command and control platform for law enforcement and the military. Our AI transcribes radio communications, analyzes them, and then synthesizes information for commanders/dispatchers and operators to act on.",
    "one_liner": "Delivering AI-powered situational awareness in tactical environments.",
    "team_size": 2,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1762149553,
    "tags": [
      "GovTech",
      "NLP",
      "Defense"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Government"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": false,
    "url": "https://www.ycombinator.com/companies/lakonia",
    "api": "https://yc-oss.github.io/api/batches/fall-2025/lakonia.json"
  }
]
