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Previously founded Bikry and StrawberryPOS, and worked in private equity in New York. Purdue alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhayana", "x_url": "https://twitter.com/AbhishekBhayana", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40e7c55ba3ba51f12d73ff7413211e0e474e3c28.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 21864, "name": "Farmako Healthcare", "slug": "farmako-healthcare", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b367d28549e4be7a52f8235ec629bfb6869fc48.png", "website": "https://farmako.ai", "all_locations": "Gurugram, HR, India", "long_description": "We are India's fastest medicine delivery service. We deliver medicines in just 30 minutes. We have built highly optimized pharmacy stores and a set of internal tools designed to process prescriptions quickly.\r\n\r\nWe also provide easy-to-integrate APIs and SDK for anyone to start a virtual pharmacy without needing a license, pharmacy, or delivery fleet. Any doctor, teleconsultation app, or EMR provider can start delivering medicines to their patients on WhatsApp or App using our service in the background. We have more than 80 B2B partners, including India's top teleconsultation apps, EMR providers, hospitals, elderly care apps, and insurance providers.\r\n\r\nWe operate 24/7 in Gurgaon, New Delhi, and Moradabad and deliver over 15,000 orders monthly. So far, we have processed more than 250K orders and done thousands of life-saving deliveries.\r\n\r\nWe started in 2020 with the vision to build a centralized health record system for India. We had an AI-powered EMR app for doctors and a SaaS for diagnostic labs to add patients' medical records to Farmako Health ID. We have more than 3M health records added on Farmako. In 2022, the Indian government launched ABHA Health ID and we became one of the first official partners with them. In 2023, we launched quick medicine delivery and decided to move forward with ABHA Health ID for medical records.\r\n\r\nNow, we are building a safe health assistant inside our medicine delivery app, which will be connected to your Health ID and all your past medical records. 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The founders- Aman, Kaishu, and Nikhil studied at IIT Roorkee. Aman had a shoulder injury in college and went to a doctor. The doctor gave him a painkiller, but when he told the doctor about his past medical history related to his back, the doctor changed the prescription.Aman told this story to Kaishu and Nikhil, and all three got excited thinking how great it would be if everyone in India had all their medical records structured in one place, connected to a unified Health ID." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our vision is to make healthcare super accessible to every human on Earth." } ], "url": "https://www.ycombinator.com/companies/farmako-healthcare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/farmako-healthcare.json", "year_founded": 2020, "city": "Gurugram", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/14597491", "x_url": "https://twitter.com/FarmakoIn", "fb_url": "https://www.facebook.com/FarmakoIN", "cb_url": "https://www.crunchbase.com/organization/farmako-4206", "github_url": "https://github.com/FarmakoHealthcare", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b367d28549e4be7a52f8235ec629bfb6869fc48.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6f0e2d1b6231733619bb69b2ef4a5af9549ddf62.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 357169, "full_name": "Aman Bhandula", "title": "Founder", "founder_bio": "I'm the founder & CEO of Farmako. I studied at IIT Roorkee for 4 years. I love machine learning and designing. \n\nI believe that the work we are doing at farmako is saving thousands of lives. Digital Health records will be game-changing for countries like India where we don't have a great healthcare infrastructure and we don't have enough doctors either. The market is huge, the work is challenging and it does a great impact on people's lives directly. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman-bhandula-b71032132/", "x_url": "https://twitter.com/AmanBhandula2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4c3291b09a0f669683aa71c47598c1da0481940.jpg" } ], "jobs": [], "news": [ { "title": "[YS Exclusive] Y Combinator-backed healthtech startup Farmako raises $1.6M for expansion | YourStory", "url": "https://yourstory.com/2024/08/y-combinator-e-pharmacy-farmako-funding-west-capital-bayhouse-capital", "date": "Aug 12, 2024" }, { "title": "Prescription written in sloppy handwriting? 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Today, mental health disorders are one of the leading causes of death worldwide, especially among young adults, and are tied to shortening lifespans. While there have been developments in new psychiatric medications since the first FDA approval in 1954, today there is a growing movement among clinicians, patients, and researchers who are recognizing the need to accelerate new science.\r\n\r\nThe Osmind treatment platform is the first and only solution that solves specific challenges faced by neuropsychiatric clinics, spanning general psychiatry and interventional psychiatry (transcranial magnetic stimulation, ketamine, SPRAVATO®, psychedelic medicine, electroconvulsive therapy). 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These patients need their medications within days but currently it takes weeks because of complex, manual workflows that were built around poor data standards. \r\n\r\nAt Lamar Health, our mission is to get patients on therapy fast. Our customers are specialty pharmacies, infusion clinics and hospitals that are moving quickly to use AI to offset operational risks and gain competitive advantage. 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Her research work included working on the AI model used to optimize the COVID Pfizer vaccine and a state of the art model for DNA energy hybridization. \n\nAt Lamar Health, Eesha and the team are applying data science and AI to scale staff expertise for. specialty medication workflows. 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For instance, in India, there are only 2200 oncologists for 1.38 billion people. Patients travel 100 miles waiting for hours to get few minutes with the doctors. They have no easy means to manage all the toxicities and symptoms they get once they are back home. This leads to 6X lower patient retention, 4X high emergency readmissions, and poor patient outcomes. \r\n\r\nZealth bridges this gap through its digital health intervention platform. 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I like building stuff 🧑‍💻", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-bjorkenstam/", "x_url": "https://twitter.com/BjorkenstamAlex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cb4e4af9ddcc5b2cb29fde0aee5daaa10fbf530.jpg" }, { "user_id": 915150, "full_name": "Edvin Fernqvist", "title": "Founder", "founder_bio": "During the onset of the Corona pandemic I looked for ways to help out and started to source and produce PPE. Coming in contact with the hard pressed nurses and doctors working in ICUs and other facilities I soon found there were other more pressing issues to be solved. When I met my co-founders we decided to band together to create Bemlo and reverse the deteriorating situation we saw in healthcare staffing and recruiting.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edvin-fernqvist-88102616a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58e1543eab043a9f90b3c673a715abdf4dea6825.jpg" } ], "jobs": [ { "id": 78510, "title": "Forward Deployed Engineer at Bemlo (W22)", "url": "https://www.ycombinator.com/companies/bemlo/jobs/iu2fXpd-forward-deployed-engineer-at-bemlo-w22", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$90 - $160", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 78549, "title": "Fullstack Engineer at Bemlo - Linear for healthcare scheduling (W22)", "url": "https://www.ycombinator.com/companies/bemlo/jobs/q1Hs2XA-fullstack-engineer-at-bemlo-linear-for-healthcare-scheduling-w22", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90 - $160", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] } ], "news": [ { "title": "How the problem of hiring healthcare staff has become a fertile ground for startups – TechCrunch", "url": "https://techcrunch.com/2022/07/29/how-the-problem-of-hiring-healthcare-staff-has-become-a-fertile-ground-for-startups/", "date": "Jul 29, 2022" } ], "launches": [] }, { "id": 26094, "name": "Cellbyte", "slug": "cellbyte", "former_names": [ "Glocally" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdcdb88b3fbed507fd0624712ba4d55c173500ac.png", "website": "https://www.cellbyte.com/", "all_locations": "Munich, BY, Germany", "long_description": "Cellbyte's AI agents help pharma companies launch new drugs worldwide. Market-leading firms are using Cellbyte to answer questions like “What price can we achieve for our new drug in the U.S. versus Germany?“.\r\n\r\nThe three co-founders have known and worked with each other for many years: Daniel brings 5+ years of industry experience from his previous job at leading global Life Sciences consultancy Simon-Kucher. Felix has sold $3m+ ACV deals to customers like H&M for his previous YC startup. Samuel holds an MSc in Information Systems from TUM, and has built enterprise AI applications from scratch as ML Engineer at Celonis.", "one_liner": "AI Agents for Pharma Drug Launches", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1643107083, "tags": [ "Data Science", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cellbyte", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cellbyte.json", "year_founded": 2024, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/cellbyte-com", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdcdb88b3fbed507fd0624712ba4d55c173500ac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 820521, "full_name": "Felix Steinbrenner", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Cellbyte. We are building AI agents to accelerate the launch and commercialization of pharmaceutical drugs.\n\nPivoted from Last Mile Logistics in 2023: previously co-founded and led Operations at Glocally (W22), where we offered a same-day parcel delivery service to e-commerce brands like H&M. Utilizing electric vehicles only, we surpassed 150K parcels with excellent reviews, and raised >$2M from top-tier Angels and VCs (YC, Trucks,...).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felix-steinbrenner-9b3765184", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f1f21459ff9bccedcef61e3ea9888c733e37843.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83038, "title": "Cellbyte - AI Agents for Pharma Drug Launches", "tagline": " Cellbyte's AI agents help pharma companies launch new drugs worldwide. Market-leading firms are using Cellbyte to answer questions like “What price can we achieve for our new drug in the U.S. versus Germany?“.", "body": "Hi everyone! We are Daniel, Felix, and Samuel, and we are building Cellbyte.\n\n**TL;DR:** [Cellbyte](https://cellbyte.com)’s AI agents help pharma companies launch new drugs worldwide. Market-leading firms are using Cellbyte to answer questions like “What price can we achieve for our new drug in the U.S. versus Germany?“.\n\n![uploaded image](/media/?type=post&id=83038&key=user_uploads/820521/da2f6118-b254-4f9c-bc07-97db95767dc6)\n\n\n# **Problem:**\n\nMost medicines being launched are missing their revenue potential by a large margin due to messy pharma data causing expensive inefficiencies. When preparing a drug launch, pharmaceutical manufacturers have to choose between three options:\n\n* **Manual research:** time-consuming, human errors, language barriers\n* **Databases:** $300k / year, poor data quality, limited scope\n* **Consulting:** $300k / project, answers in weeks, data snapshots\n\n# **Solution:**\n\n* Cellbyte consists of 3 main layers:\n * **High-quality data:** comprehensive, globally interconnected, up-to-date\n * **Analytics:** instant due to integrated databases, personalized to each user\n * **Workflows:** built on deep user understanding, human-in-the-loop-interactions, consulting-level outputs\n* Cellbyte’s AI workforce replaces Legacy Providers\n* We’re live in **12 key markets,** adding new ones every week\n\n# **Who we are:**\n\nThe three co-founders have known and worked with each other for many years: Daniel brings 5+ years of industry experience from his previous job at leading global Life Sciences consultancy Simon-Kucher. Felix has sold $3m+ ACV enterprise deals to customers like H&M for his previous YC startup. Samuel holds an MSc in Information Systems from TUM, and has built enterprise AI applications from scratch as ML Engineer at Celonis.\n\n![uploaded image](/media/?type=post&id=83038&key=user_uploads/820521/9cc5b7f4-b6f4-4f9a-8d67-28bf52a576cb)\n\n\n# **Asks:**\n\n* **June 2025 - We are fundraising!** Get in touch with Felix (felix.steinbrenner@cellbyte.com) if you are an investor or happen to know someone who might be a good fit.", "url": "https://www.ycombinator.com/launches/LbK-cellbyte-ai-agents-for-pharma-drug-launches", "votes": 8, "created_at": "2024-08-14T19:24:13.690Z" } ] }, { "id": 26413, "name": "Medplum", "slug": "medplum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4229dd6804f5d73a29c33ab5b98b1cf482e0ea34.png", "website": "https://www.medplum.com", "all_locations": "San Francisco, CA, USA", "long_description": "Medplum makes it easy to build healthcare webapps that are compliant and interoperability ready. Our open source toolkit allows healthcare providers write apps that are HIPAA compliant, SOC2 certified and FHIR native - streamlining payor connections, health system integrations and more. ", "one_liner": "API first electronic health record (EHR) that is open source", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1659548315, "tags": [ "Developer Tools", "Open Source", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "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": null, "url": "https://www.ycombinator.com/companies/medplum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/medplum.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/medplum", "x_url": "https://twitter.com/Medplum1", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/medplum", "github_url": "https://github.com/medplum", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4229dd6804f5d73a29c33ab5b98b1cf482e0ea34.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d233bf664285269dcd299fb0645ee699471bfd4.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 57511, "full_name": "Reshma Khilnani", "title": "Founder", "founder_bio": "Reshma is CEO of Medplum. In the recent past she was a Visiting Group Partner at YC. Reshma Khilnani was co-founded of MedXT (YC W13 acquired by Box) and Droplet (now Kit.com). Early in her career she held roles at Facebook and Microsoft. Reshma has a BS and MEng from MIT in EECS. She lives in San Francisco and owns reshma.com \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/reshmakhilnani/", "x_url": "https://twitter.com/ReshmaKhilnani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e591d608ff7220ba79784a18d0d8c2736ea37975.jpg" }, { "user_id": 1144, "full_name": "Cody Ebberson", "title": "Founder/CTO", "founder_bio": "Cody is CTO of Medplum, an open source healthcare data platform. In the past, he was a Director of Engineering at One Medical, Healthcare Engineering Lead at Box, and co-founded MedXT (YC W13 acquired by Box). Cody holds a BS in Computer Science and an MBA from Harvard Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/codyebberson/", "x_url": "https://twitter.com/codyebberson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94c7a65df9acefbd5e8a45f5a7b0393897c1e341.jpg" } ], "jobs": [ { "id": 59403, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/medplum/jobs/nAbajSt-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $220K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "React", "TypeScript" ] }, { "id": 66874, "title": "Developer Experience Engineer", "url": "https://www.ycombinator.com/companies/medplum/jobs/1iRSJWs-developer-experience-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $190K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 66885, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/medplum/jobs/uXnVfEt-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 113534, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/medplum/jobs/DbQck7I-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Launch HN: Medplum (YC S22) – Open-Source Firebase for Healthcare | Hacker News", "url": "https://news.ycombinator.com/item?id=33521560", "date": "Nov 12, 2022" } ], "launches": [ { "id": 65117, "title": "Medplum: API-first Electronic Health Record - that’s open source", "tagline": "Medplum makes it fast and easy to build white-label medical apps that look good AND are compliant and integration-ready day one.", "body": "Reshma, Cody and Rahul 👋 - Medplum in YC announcement is extra special for us because this fall marks **10 years of YC** for our team.  We were the founding team of [MedXT](https://www.ycombinator.com/companies/medxt) (W13) and I (Reshma) spent 2021 as a [Visiting Group Partner](https://www.ycombinator.com/blog/welcome-w21-visiting-group-partners/) for the W21 and S21 batches.\n\n![uploaded image](/media/?type=post&id=65117&key=user_uploads/57511/44a369bc-67bc-49f9-ab2e-8f58c722e03d)\n\nWe are back and building [Medplum](https://www.medplum.com/)! Why?\n\n**Medical apps are notoriously hard to build and maintain**, largely due to all the stakeholders involved and the byzantine incentive system.  **We were inspired** by trailblazing open source YC companies [Gitlab](https://about.gitlab.com/), [PostHog](https://posthog.com/), [Airbyte](https://airbyte.com/) and [many others](https://www.ycombinator.com/companies/?tags=Open%20Source) who solve similar complex problems in other domains. We believe the open source model will be **especially impactful for healthcare**.\n\nOur ask: use us to build your next medical app!\n\n* Read our [docs](https://docs.medplum.com/)\n* Browse the [code](https://github.com/medplum)\n* A [sample app](https://foomedical.com/), with [source code](https://github.com/medplum/foomedical) \\\n \\\n \\- Reshma, Cody and Rahul\n\n![uploaded image](/media/?type=post&id=65117&key=user_uploads/57511/8928e216-9e5c-4b7b-9925-305011d6fa16)\n\n", "url": "https://www.ycombinator.com/launches/GwH-medplum-api-first-electronic-health-record-that-s-open-source", "votes": 54, "created_at": "2022-08-03T22:36:27.859Z" } ] }, { "id": 27037, "name": "Metriport", "slug": "metriport", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b4285b77e4b14c5f733b3fb8ecb0243b368b92c.png", "website": "https://metriport.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Metriport provides real-time access to medical data for 340 million individuals across the US. Its open-source platform turns scattered patient records across all major healthcare IT systems into structured information that gives clinicians what they need, exactly when they need it, to provide the best possible care. \r\n\r\nMetriport manages dozens of connections across all national HIEs and QHINs, state and regional HIEs, ADT networks, pharmacies, labs, and EHRs. It then matches, extracts, standardizes, deduplicates, and enriches records, and converts them into a unified data model, accessible through a single API, data warehouse, or apps directly within an EHR.\r\n\r\nIn addition to providing longitudinal patient clinical data at the point of care, Metriport offers ambient monitoring, alerting providers in real time as patients are moved through the healthcare system to assist with transitions of care. Metriport also delivers insights on top of the data, like AI medical record summarization, condition suspecting, and surfacing care gaps.\r\n\r\nFounded in 2022 and headquartered in San Francisco, Metriport processes 4.2 billion network requests a month and returns the first structured record in under 15 seconds. Teams across care delivery, value-based programs, and health tech platforms build on Metriport, including Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.", "one_liner": "Healthcare data infrastructure for next generation care delivery.", "team_size": 29, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1654554081, "tags": [ "B2B", "Digital Health", "Healthcare", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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": null, "url": "https://www.ycombinator.com/companies/metriport", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/metriport.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/80365638", "x_url": "https://twitter.com/metriport", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/metriport", "github_url": "https://github.com/metriport/metriport", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b4285b77e4b14c5f733b3fb8ecb0243b368b92c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5b52a2ae4d749039ac57c1b6237271b596eea2a9.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1013455, "full_name": "Dima Goncharov", "title": "Founder", "founder_bio": "Dima Goncharov is a Co-Founder & CEO of Metriport, which he started with Colin Elsinga in 2021. Dima is a software engineer by trade with professional industry experience building everything from aerospace systems, to highly available cloud database services.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dimagoncharov/", "x_url": "https://twitter.com/dimagoncharov_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b69dd7bc0cae33c5d88c5d9005bd1da0920af3ab.jpg" }, { "user_id": 611194, "full_name": "Colin Elsinga", "title": "Founder", "founder_bio": "Colin Elsinga is the co-founder and COO of Metriport, which he started with Dima Goncharov in 2021. Colin is a software engineer and designer with professional experience building consumer health apps.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colin-elsinga/", "x_url": "https://twitter.com/ColinElsinga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71ac4413e28f4e3b7bb5a294a0fac6f528154738.jpg" } ], "jobs": [ { "id": 91551, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/Evxfl0l-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $220K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "React", "TypeScript", "DynamoDB" ] }, { "id": 91552, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/metriport/jobs/pKiYGAg-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $275K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92363, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/9RLuRon-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript", "Figma" ] }, { "id": 92364, "title": "Senior Implementation Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/YR0nrlN-senior-implementation-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$160K - $190K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "PostgreSQL", "React", "TypeScript" ] }, { "id": 92367, "title": "Strategic Finance Lead", "url": "https://www.ycombinator.com/companies/metriport/jobs/AUZD74P-strategic-finance-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92460, "title": "Product Design", "url": "https://www.ycombinator.com/companies/metriport/jobs/wV6tPZ2-product-design", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Figma" ] }, { "id": 92461, "title": "Strategic Projects Lead", "url": "https://www.ycombinator.com/companies/metriport/jobs/jV2UFTN-strategic-projects-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92887, "title": "Senior Software Engineer, Internal Tools", "url": "https://www.ycombinator.com/companies/metriport/jobs/UG7xIZs-senior-software-engineer-internal-tools", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 93249, "title": "Technical Account Manager", "url": "https://www.ycombinator.com/companies/metriport/jobs/IcQpKRB-technical-account-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$160K - $190K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 97067, "title": "Technical Recruiter", "url": "https://www.ycombinator.com/companies/metriport/jobs/9PTzUvR-technical-recruiter", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102424, "title": "Senior Data Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/wGKe03x-senior-data-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $220K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "TypeScript" ] }, { "id": 102425, "title": "Staff Data Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/mnzHloS-staff-data-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "Python", "React", "TypeScript" ] }, { "id": 102426, "title": "Staff Software Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/Id565m1-staff-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109815, "title": "Head of Customer Success", "url": "https://www.ycombinator.com/companies/metriport/jobs/va3Pgyc-head-of-customer-success", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$190K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "React", "TypeScript" ] }, { "id": 112522, "title": "Head of Sales", "url": "https://www.ycombinator.com/companies/metriport/jobs/US1fygB-head-of-sales", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$300K - $350K", "equity_range": "", "experience": "11+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114788, "title": "Staff Technical Product Manager", "url": "https://www.ycombinator.com/companies/metriport/jobs/g35LEP2-staff-technical-product-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114789, "title": "Senior AI/ML Engineer", "url": "https://www.ycombinator.com/companies/metriport/jobs/7Ftzydk-senior-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $260K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "SQL", "Machine Learning", "Generative AI" ] } ], "news": [ { "title": "Metriport raises $26M to help doctors retrieve patient data", "url": "https://endpoints.news/metriport-raises-26m-to-help-doctors-retrieve-patient-data/", "date": "Sep 11, 2026" }, { "title": "Healthcare data is a mess and Metriport is here with a broom • TechCrunch", "url": "https://techcrunch.com/2022/12/21/metriport-funding/", "date": "Dec 21, 2022" } ], "launches": [ { "id": 64229, "title": "Metriport - Healthcare data infrastructure for next generation care delivery.", "tagline": "Complete real-time patient context from every source that matters, transformed into relevant intelligence for your care teams and their AI agents.", "body": "[Metriport](https://www.metriport.com/) provides real-time access to medical data for 340 million individuals across the US. Its open-source platform turns scattered patient records across all major healthcare IT systems into structured information that gives clinicians what they need, exactly when they need it, to provide the best possible care.\n\n![uploaded image](/media/?type=post&id=64229&key=user_uploads/611194/fbf22c56-3e05-4f29-926e-cbccbcb305b9)\n\nIf you’ve been to doctors in the US, you may have encountered the problem: how does a healthcare provider get access to your up-to-date medical history to treat you properly? Reliance on archaic methods is still the norm: typically, you or your provider need to call the facilities where you’ve previously received treatment (assuming you remember them all), just to have them send your records via fax (yep, fax). This can take weeks, only then to have a provider sift through hundreds of pages of unstructured docs, just to figure out basic things like your active medication list, what conditions you may have, latest lab results, etc. This not only delays care—it can cause improper treatment, since the medical history is critical for informing treatment decisions.\n\n### **One platform for every workflow**\n\nMetriport manages dozens of connections across all national HIEs and QHINs, state and regional HIEs, ADT networks, pharmacies, labs, and EHRs. It then matches, extracts, standardizes, deduplicates, and enriches records, and converts them into a unified data model, accessible through a single API, data warehouse, or apps directly within an EHR.\n\nIn addition to providing longitudinal patient clinical data at the point of care, Metriport offers ambient monitoring, alerting providers in real time as patients are moved through the healthcare system to assist with transitions of care. Metriport also delivers insights on top of the data, like AI medical record summarization, condition suspecting, and surfacing care gaps.\n\n### **Built for the scale of U.S. Healthcare**\n\nFounded in 2022 and headquartered in San Francisco, Metriport processes 4.2 billion network requests a month and returns the first structured record in under 15 seconds. Teams across care delivery, value-based programs, and health tech platforms build on Metriport, including Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.\n\n### **Getting Started**\n\n☎️ [Book a call with us](https://www.metriport.com/contact-us): interested in finding out how Metriport can support your use case? Grab a time to chat with us and we’ll figure out how we can work together.\\\n📚 [Our Developer Docs](https://docs.metriport.com/home/welcome): here you can follow our [Quickstart Guide](https://docs.metriport.com/medical-api/getting-started/quickstart). Our docs are the best way for you to familiarize yourself with our API’s core concepts.\\\n👨‍💻 [Public Github repo](https://github.com/metriport/metriport): view our source code, fork our repo, and give us a ⭐️ if you’re feeling generous!", "url": "https://www.ycombinator.com/launches/Ghx-metriport-healthcare-data-infrastructure-for-next-generation-care-delivery", "votes": 73, "created_at": "2022-06-30T14:14:31.078Z" } ] }, { "id": 27124, "name": "KemNet", "slug": "kemnet", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87dbae0192e991623d9682eb424425647194b9d8.png", "website": "https://kemnet.ca/", "all_locations": "Victoria, BC, Canada; Edmonton, AB, Canada; Remote", "long_description": "KemNet supplies pharmacies with premium reformulations of popular drugs that are more useful for specific groups of patients. For example, more than 30 pharmacies rely on KemNet to supply reformulated products for erectile dysfunction that work up to 8 times faster than alternatives. In addition to sexual function, products reformulated for novel drug delivery and supplied on KemNet include medications for hair growth, pain, weight loss and women's health.\r\n", "one_liner": "KemNet supplies reformulated drugs for specific groups of patients.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1659998959, "tags": [ "Marketplace", "B2B", "Digital Health", "E-commerce", "Therapeutics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kemnet", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/kemnet.json", "year_founded": 2022, "city": "Victoria", "country": "CA", "linkedin_url": "", "x_url": "https://twitter.com/KemNet_", "fb_url": "https://www.facebook.com/KemNet-100242769471175", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87dbae0192e991623d9682eb424425647194b9d8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 349400, "full_name": "Morẹ́nikẹ́ Ọláòṣebìkan", "title": "Founder", "founder_bio": "Morẹ́nikẹ́ Ẹniọlá Ọláòṣebìkan is a Licensed Clinical Pharmacist and Pharmacy Proprietor. She serves as a Clinical Academic Colleague at the Faculty of Pharmacy & Pharmaceutical Sciences, University of Alberta. She is building a platform to supply pharmacies with premium reformulated medications for specific groups of patients.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/morenike", "x_url": "https://twitter.com/PharmMorenike", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdf786bfba815026feccdca81a00b34b43a1510c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65221, "title": "KemNet 🚀 Because Not All Pills Should Be Swallowed! 💊", "tagline": "We supply premium reformulated medications for specific groups of patients.", "body": "**Imagine**\n\nEver wondered if taking medications could be a pleasurable experience? 🤔\n\n🤓 or wondered how long it takes for Erectile Dysfunction medications to work when they are swallowed? … whilst wondering this, did you ever also randomly wonder \\[for no apparent reason\\], [how long they take to work after that fatty steak](https://www.mayoclinic.org/diseases-conditions/erectile-dysfunction/in-depth/erectile-dysfunction/art-20047821) and red wine date night?\n\nDid you know that [50% of patients](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068890/) do not take their medications as prescribed? … for many reasons … including complicated regimens and unpleasant medication use experiences. 👀\n\n**About Us**\n\nI am [Morẹ́nikẹ́ Ẹniọlá Ọláòṣebìkan](https://www.ycombinator.com/companies/kemnet) and I am thrilled to share **KemNet** with you. 😇\n\nKemNet supplies pharmacies with premium reformulations of popular drugs that are more useful for specific groups of patients. For example, we supply reformulated products for erectile dysfunction that work up to 8 times faster than alternatives 🎉. In addition to sexual function, other reformulated products for novel drug delivery are supplied on KemNet including medications for beauty, hair growth, pain, weight loss and women’s health.\n\nWe are a Business to Business - “Amazon” for customized medications.\n\nAt KemNet we think that empathy is great for patient care so we source and supply customized medications accordingly. Patients adhere to medications that are formulated to work faster, and are enjoyable to use, with reduced side effects. It turns out that empathizing with patients by design is also really good business, because our pharmacy customers’ bottom-line grow as well. I stumbled into these insights around empathy by medication formulation design, as a multi-pharmacy owner.\n\n\n\n**Calling You … Yes… YOU!**\n\n**Patients**\n\n**_Interested in learning more about our personalized fast acting medication formulations for yourself?_**\n\n[REGISTER](https://forms.gle/pi6TAgjqQWhXMJWe7) by August 31st.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**Prescribers**\n\n**_Interested in learning more about our_ personalized fast acting medication formulations for your patients?**\n\n[SUBSCRIBE](https://forms.gle/ivNbgewqLRdC7gyQ9)\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**YOU!**\n\n**_Tell Physicians, Nurse Practitioners, Pharmacists about KemNet_**\n\n_\\* quick blurb to copy & paste:_ A multiple award winning, serial entrepreneur and pharmacy owner is contributing to the future of medicine by supplying personalized patient centred medications. Check her out and contact [founders@kemnet.ca](mailto:founders@kemnet.ca) for more.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_", "url": "https://www.ycombinator.com/launches/Gxx-kemnet-because-not-all-pills-should-be-swallowed", "votes": 39, "created_at": "2022-08-09T04:44:05.947Z" } ] }, { "id": 27165, "name": "Entvin", "slug": "entvin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0d49ca07ec0976b29ec7382f9a10f4bc1568987.png", "website": "http://entvin.com?utm_source=yc", "all_locations": "San Francisco, CA, USA", "long_description": "Entvin is building AI agents specifically designed to support regulatory teams in the life sciences industry. \r\n\r\nOur platform leverages AI to streamline workflows, automate complex tasks, and enhance efficiency throughout the regulatory process. By focusing on the unique needs of regulatory teams, we help companies navigate compliance, accelerate approvals, and reduce operational bottlenecks, all while ensuring data security and confidentiality.", "one_liner": "", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1659775119, "tags": [ "SaaS", "Health Tech", "B2B", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/entvin", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/entvin.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/entvin/", "x_url": "https://twitter.com/EntvinHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/entvin", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0d49ca07ec0976b29ec7382f9a10f4bc1568987.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 920386, "full_name": "Sanskar Jain", "title": "Founder", "founder_bio": "Sanskar is the Co-founder & CEO of Entvin, previously led Growth & Strategy at andMe (A D2C brand, acquired by GlobalBees). He was also an Analyst with A&M's Strategy and CDD practice in India. \nHe has done Mechanical Engineering from IIT Bombay. He is passionate about innovations in Technology, Ecommerce, and Electric Vehicles. ", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/sanskarjain", "x_url": "https://twitter.com/Sanskar3074", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa4e39285929ac024c5ede0acf181fec166147ea.jpg" }, { "user_id": 1001794, "full_name": "Hemant Phalak", "title": "Founder", "founder_bio": "Hemant is the Co-founder & CPO of Entvin, previously he was founding team member at cross-border fintech Zolve. He was also an Associate at Pricewaterhousecoopers, India in the technology consulting practice. He has a B.Tech in Material sciences from IIT Bombay. His motto - 'Build what matters'", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hemantphalak/", "x_url": "https://twitter.com/hemant_phalak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d1ff44f6bdc8a700a9792a55ae94d4e7b7523791.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27185, "name": "Knowtex", "slug": "knowtex", "former_names": [ "Puzzle", "Puzzle 121", "Puzzle 1:1", "Puzzle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4dbfd0d7148fdd21093b73066565ae1d3a5d614.png", "website": "http://www.knowtex.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. \r\n\r\nKnowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation. ", "one_liner": "Making doctors 2x more efficient with AI note-taking & charge capture", "team_size": null, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1658257873, "tags": [ "Health Tech", "B2B", "Productivity", "Digital Health", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/knowtex", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/knowtex.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/knowtexai", "x_url": "https://twitter.com/knowtexai", "fb_url": "https://www.facebook.com/knowtexai", "cb_url": "https://www.crunchbase.com/organization/knowtex", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4dbfd0d7148fdd21093b73066565ae1d3a5d614.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c6e7121940e506b9347c417f0b5bba94bc39fdbc.png" ], "primary_partner": null, "founders": [ { "user_id": 432956, "full_name": "Caroline Zhang", "title": "Founder", "founder_bio": "Caroline is the CEO of Knowtex. Before Knowtex, she worked in biomedical research at the Salk Institute of Biological Studies, investment banking at Morgan Stanley, and AI research and policy initiatives at Schmidt Futures. Caroline graduated from Stanford University with her master’s degree in Computer Science (concentration in AI), and an undergraduate degree in Economics with a minor in International Relations.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/czhang21/", "x_url": "https://twitter.com/CarolineCZhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/981a6e703d45c638420b3c584b3a1669a072ff96.jpg" }, { "user_id": 556751, "full_name": "Jocelyn Kang", "title": "Founder", "founder_bio": "Jocelyn is the CTO of Knowtex. Before Knowtex, she worked at several startups in a variety of positions ranging from product manager to product designer to software engineer. She was a founding member of the product team at Learn to Win and has worked on AI/ML teams. Jocelyn graduated Phi Beta Kappa and Summa Cum Laude from Stanford University while pursuing an interdisciplinary degree in CS + Linguistics/Psychology, and a minor in Philosophy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jocelynkang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a02f8d0613fb26a711269f429a755a08d7024edb.jpg" } ], "jobs": [ { "id": 117578, "title": "Technical Product Manager", "url": "https://www.ycombinator.com/companies/knowtex/jobs/DZEAO6F-technical-product-manager", "location": "San Francisco", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117579, "title": "ML Engineer, LLM's", "url": "https://www.ycombinator.com/companies/knowtex/jobs/X6FqYCv-ml-engineer-llm-s", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117580, "title": "Integration Engineer", "url": "https://www.ycombinator.com/companies/knowtex/jobs/f8281Z9-integration-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "VA chooses finalists in health care worker burnout", "url": "https://news.va.gov/press-room/va-artificial-intelligence-tech-sprint-competition-finalists/", "date": "Mar 13, 2024" }, { "title": "Knowtex and 4D EMR Announce Groundbreaking Partnership to Revolutionize Clinical Workflow with Specialty-Specific Voice and Generative AI EMR System", "url": "https://www.prweb.com/releases/knowtex-and-4d-emr-announce-groundbreaking-partnership-to-revolutionize-clinical-workflow-with-specialty-specific-voice-and-generative-ai-emr-system-302028004.html", "date": "Jan 08, 2024" }, { "title": "INTEGRATED ONCOLOGY NETWORK AND KNOWTEX ANNOUNCE STRATEGIC PARTNERSHIP TO DEPLOY GENERATIVE AI TECHNOLOGY", "url": "https://www.prnewswire.com/news-releases/integrated-oncology-network-and-knowtex-announce-strategic-partnership-to-deploy-generative-ai-technology-301960648.html", "date": "Oct 18, 2023" }, { "title": "AWS announces 21 startups selected for the AWS generative AI accelerator | AWS Startups Blog", "url": "https://aws.amazon.com/blogs/startups/aws-announces-21-startups-selected-for-the-aws-generative-ai-accelerator/", "date": "May 24, 2023" }, { "title": "Summarizing conversations between doctors and patients with AI (Nikkei xTECH) ", "url": "https://xtech.nikkei.com/atcl/nxt/column/18/00001/07725/?ST=ch_digitalhealth", "date": "Feb 20, 2023" } ], "launches": [ { "id": 89160, "title": "Knowtex: Transparent, Explainable AI for Smarter Healthcare", "tagline": "Model Evaluation Platform for AI transparency, traceability, and reliability in clinical workflows.", "body": "[Knowtex](http://www.knowtex.ai/) is a voice AI platform built to empower healthcare organizations, turning real-time doctor-patient conversations into accurate clinical notes, ICD-10 and E&M codes tailored by medical specialty, including an admin dashboard for operations to save hours on admin work and billing.\n\n**Bringing Visibility to AI in Medicine**\n\nAI has the power to transform healthcare, but [black box decision-making](https://www.ama-assn.org/practice-management/digital/succeed-health-care-ai-get-rid-black-box) has no place in patient care. Knowtex is changing the game by making AI measurable and explainable, ensuring clinicians and healthcare systems can understand and trust every AI-driven recommendation.\n\n**What This Means for Healthcare Teams**\n\nWith the Model Evaluation Platform, Knowtex can now:\n\n* Evaluate AI performance in real-world clinical workflows for accuracy and reliability\n* Enhance traceability by surfacing insights into model predictions and decisions\n* Strengthen accountability with structured benchmarking and continuous monitoring\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWhj4wXNN6O4XKxH85tksdXx469QoqDrlorbk5r4Z_uuiwI_hTMzeAX4a4yfyikYpLGKwm4gel84baxTcEa6kILyK4y_nxq7MMnOFMmvAr7FmocYgGxsTPRuATxto9XWZU8fwnyg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n**Trust, But Verify**\n\nInnovation in AI isn’t about chasing what’s new—it’s about measurable progress. Knowtex doesn’t just release updates; we test them against real-world clinical benchmarks to ensure every iteration is an improvement. Our benchmarking gauntlet allows us to pit the latest-and-greatest against our tried-and-true models, ensuring that Knowtex isn’t just keeping up—we’re leading the charge in rapid iteration and continuous improvement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXetEQTUDcqPf954aHWHsmolvU5-QBqtMAEvsuA4RTcKUTNuaJ1M6-HPANSPkJuQR3d1PNvWqAVobaz0DLVgy--L3Qr7tgWx6EUT8Htdvlal64jbWI7LB-4ioma4clTtiQzdITqO9g?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXesQhl_ORLRLMQn1ZAzQKnmHVyziix2px5YivuMSAO74X8TJ61Nh537JeDS8om07m4mGoIdVoIdpyF5fR8yN8km71y19eY-SFN2Z3Oaq21ARKZ0hWHnAZOcMRkQJie9fZGlBbr0Qg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXek2LkdtRHW22jTpy-JAtYsJeW-ZKkNhrayHjn4EqHnfKOJQww_o46SrsRLbNilTYPyz60OmZd8XLz4byR-8i0KdOMBHimNH5EoPuYEg_AxlNFWOFyy1jSM28t2pMkKC8IlTHwvVw?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\nKnowtex’s benchmarks are built on insights from providers across multiple disciplines and focus on areas that matter most to them, such as:\n\n* **Style** – How well does the AI-generated note match the clinician’s voice? Over time, the model learns and adapts to improve precision.\n* **Note Length** – Does the AI capture the necessary details while avoiding unnecessary verbosity?\n* **Summarization Faithfulness** – How accurately does the summarized note convey the entirety of the clinical encounter?\n* **Structure** – Does the AI-generated note align with the expected template and clinical formatting?\n\nAt Knowtex, **AI isn’t just a tool—it’s a trusted partner in patient care.** Accuracy, clarity, and alignment with clinician needs are non-negotiable.\\\n\\\nThank you to Muhammad Khalifa and Nicholas Talbot for leading this project.\n\nStay tuned as we continue pushing the boundaries of explainable AI in healthcare!\n\nSimply head to [app-knowtex.com](http://app-knowtex.com) to create your account, and you’ll have full access to our voice AI documentation and coding solution supported by this Model Evaluation Platform. We’d love to hear your feedback, feature requests, and any suggestions you have at [demo@knowtex.ai.](mailto:demo@knowtex.ai)\n\nGet Started for Free → [app-knowtex.com](http://app-knowtex.com)", "url": "https://www.ycombinator.com/launches/NC4-knowtex-transparent-explainable-ai-for-smarter-healthcare", "votes": 32, "created_at": "2025-04-01T15:54:35.840Z" }, { "id": 85532, "title": "Knowtex: Ambient Billing for Clinicians 🗣️💸", "tagline": "Personalized intelligent ambient documentation and billing solution for clinicians.", "body": "**Introducing Ambient Billing at Knowtex**\n\nAt Knowtex, we’re excited to launch a new way to capture every billing opportunity with zero added effort. Knowtex is built to empower healthcare clinics and systems, turning real-time doctor-patient conversations into accurate ICD-10, CPT, and HCC codes. Our ambient, AI-driven billing solution helps clinicians avoid leaving revenue on the table—all while keeping them focused on patient care, not paperwork.\n\nMedical coding is complex, and the rules and codes are constantly changing. Missed or inaccurate coding can dramatically impact a health system’s bottom line. That’s where Knowtex comes in. **Knowtex is a clinician’s partner in revenue:** capturing the full range of codes a visit is eligible for and keeping your documentation up-to-date with the latest standards. The result is an optimized, accurate billing workflow that catches every code, every time.\n\n**Unlike other solutions that simply analyze documentation to generate codes, we’ve spent the last two years developing Knowtex into a deeply integrated, personalized coding model based on the visit conversation that is tailored to clinicians and organizations. We create custom models trained on each clinic’s historic coding data so Knowtex tailors its suggestions to the unique needs of every clinician. This level of personalization allows Knowtex not only to generate accurate codes but also to prescriptively suggest coding updates that are finely tuned to the specific workflows and nuances of the practice.** \n\nKnowtex is a truly adaptive partner in coding at the point of care. It captures information correctly upfront and continuously improves and aligns with each clinic’s standards for maximized revenue and streamlined workflows.\n\n## Customer Results\n\nOne health system integrated Knowtex and observed significant improvement in revenue retention. With Knowtex identifying and correcting undercoded visits, they successfully capture approximately **$92,800 per month** in previously lost revenue.\n\nOne of our oncology practices with 50+ providers saw substantial improvement in billing outcomes with Knowtex. Before implementing Knowtex, their daily billing average was $7,101.60. Following integration, the mean daily billing rose to $7,893.70, an increase of almost **$800/provider/day**.\n\n## Features\n\n**🩺 Streamlined intelligent Code Selection**\n\nOur interface is designed for simplicity and speed and makes it easy for clinicians to confirm suggested codes instantly. As a clinician speaks with a patient, Knowtex listens, prompting relevant codes based on the conversation. For E&M codes, it analyzes encounter elements like time, medical decision-making complexity, risk, and data, guiding clinicians to the correct documentation with zero interruptions.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcd1urRt3iovIjG_hdQrkbwJ0U0xMAQcrWNBMJvXj06EkCgVa7VeHot38yjpzGpMDDBPR0lRG_9jLd5bd2tIp2dB-GRbjIs8t723zatJ3OfZ3R8oPR2QKz7NPr7Jh59qYpFC11K?key=PrSNha-uknkZVns6FaLUE8yc)\n\nIn addition to live prompting, Knowtex provides targeted suggestions to help clinicians optimize coding accuracy. When assessing complexity, risk, or data documentation, Knowtex offers text snippets to update E&M codes based on the conversation info and historic data. These snippets guide providers by suggesting personalized updates that increase documentation complexity where applicable.\n\nFor example, with MDM:\n\n\\- Complexity: Knowtex can prompt providers to consider documenting any updates on the patient’s status under treatment with a pre-created snippet like “Patient is improving on current chemotherapy treatment but not yet at goal.”\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcB9XivMlmiJrkMbi5KzqYfO-Lpw7SwG7zRg_xyeF8bzfkchHb1PmC2GLx7I3smiTrzp-jAdSVUO-AG9c4haq4U_iKAHBESxngh4YyXel7RnFHHk_l9k-_ACkd-i8RpvCIvjJqOow?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Risk: Knowtex may suggest inserting the text snippet, “reviewed liver function tests and discussed present chemotherapy effects with the patient,” to increase the documented level of decision-making complexity.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeXpD_K-hlG10Z0vGGn19NSs-AZsiDcePhUU0X70VZm0z8pwM2J7BovTaTPqum80I2l549WFgkPMTw8SO4z0XoogcljVNKSkbWNaXxA7VqsUfwin2gDF0jvxM-N0BkZB9JRLqalHw?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Data: If the clinician reviewed imaging during the conversation, Knowtex will identify this and suggest a clearer way of documenting it: “CT images were **personally reviewed and interpreted**.”\n\nThese real-time, customized tips help clinicians capture all relevant information to substantiate the appropriate billing codes.\\\n\\\n**🔍 Accurate & Personalized Diagnosis Capture and Search**\n\nImagine a clinician is treating anemia. Most physicians would code the patient with D50.9 (Iron deficiency anemia, unspecified). While this can be accepted by insurance and reimbursed, there can be more precise codes that would be a better choice based on the patient’s symptomatology and history. \n\nKnowtex can capture and synthesize conversation and EHR data in real time as the clinician talks through symptoms and treatment with the patient to suggest precise ICD-10 codes like D63.1 (Anemia in chronic kidney disease). \n\nWe also provide intelligent search functionality for clinicians that surfaces the best and most detailed ICD-10 code based on the conversation detail and EHR information.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdYFAYWrvmJgndLiffAJCyQFPnu7fMM796mKPIZQKlQWSrlLdAD3Xoco727I2aEvOA82tfjAHm8-NwP-QKH9Ja9DjI0BSTH6xGxJCd6IoFsCnt-BzBsxaEfwAbxkEgFjEHBhhKn?key=PrSNha-uknkZVns6FaLUE8yc)\n\nKnowtex makes sure every detail is captured without breaking focus for clinicians, especially in complex specialties like hematology and oncology. It’s a seamless experience that helps practices keep up with fast-evolving coding standards and prevent revenue leakage.\n\n**📊 Complimentary Financial Gap Analysis**\n\n**We’re offering a free financial gap analysis to the first 10 new clinicians/organizations that sign up.** Knowtex will deeply analyze your last 3 months of billing data and pinpoint specific opportunities where Knowtex can capture missed revenue through optimized documentation and code selection. \n\nUsers will also get **free** **full** access to our state of the art, customizable, ambient scribing solution for those three months. \n\nContact [sales@knowtex.ai](mailto:sales@knowtex.ai) to learn more.\n\nThank you to our engineers Muhammad Khalifa, Andrea Green, and Azeem Ghumman for their work pioneering ambient billing at Knowtex.", "url": "https://www.ycombinator.com/launches/MFY-knowtex-ambient-billing-for-clinicians", "votes": 40, "created_at": "2024-11-13T16:48:55.533Z" }, { "id": 65893, "title": "Knowtex: Creating Visit Notes from Doctor-Patient Conversations", "tagline": "Making doctors 2x more efficient with automating note-taking & charge capture", "body": "👋 We’re [Jocelyn](https://www.linkedin.com/in/jocelynkang/) and [Caroline](https://www.linkedin.com/in/czhang21/), the co-founders of [Knowtex](https://www.knowtex.ai/)!\n\n**tldr;** Knowtex automatically creates visit notes with billing codes from doctor-patient conversations. We built our ML solution in under two months and are working with healthcare organizations to save doctors time and prevent revenue leakage from improper documentation and coding. Our ask is for help connecting with private clinics (with 8+ doctors) in any specialty, digital healthcare companies with providers, and PE firms with medical roll-ups.\n\n### **The Problem:**\n\nDoctors are spending more time on taking notes than seeing patients, and aren’t taught how to code their notes optimally for proper reimbursement. This leads to physician burnout and revenue leakage for healthcare organizations (up to $125 billion a year in the US).\n\n### **Our Solution:**\n\nKnowtex creates visit notes with the proper codes for reimbursement automatically from doctor-patient conversation.\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/cbde38bb-69a5-49a9-b723-fc0b8bf65864)\n\n(The automatically generated note output from a conversation Caroline had in real-time with a cardiologist!)\n\n**Wait, doctors code?**\n\nWe’re not talking about software coding, but medical coding, which means assigning the right diagnostic (ICD-10) and procedural codes (CPT) to a note to allow a claim to be created and submitted to insurers for appropriate payment. Correct coding is also critical for demographic assessments and studies of disease prevalence, treatment outcomes and accountability-based reimbursement systems.\n\nWith Knowtex, we can cut the time doctors currently spend on admin work in half, and allow them to focus on what they love: patient care.\n\n### **Our Team**\n\nWe met day one of Stanford freshmen year. Caroline received her master's degree in Computer Science concentrating in AI and an undergraduate degree in Economics (in just 4 years!). Jocelyn received an interdisciplinary degree in CS specializing in Linguistics and has worked at startups in a variety of positions including leading AI/ML teams.\n\nAfter graduating during the COVID-19 pandemic, we wanted to apply our technical skills to build solutions for our healthcare system. We heard about the problem of physician burnout from medical documentation, and **became medical scribes ourselves to experience it firsthand. We’re the only medical scribes in the world with AI/ML backgrounds,** making us uniquely positioned to build this solution for doctors.\n\n### **Our Ask**\n\nWe’re looking to partner with\n\n* private clinics that have 8+ doctors in any specialty\n* digital health companies that offer healthcare provider services (ex. hybrid and virtual care, telemedicine platforms)\n* private equity companies with medical roll-ups\n\nHere’s a quick blurb you can send them about us:\n\n_Knowtex reduces physician documentation burden and increases coding efficiency and accuracy by automatically creating visit notes with billing codes from doctor-patient conversations. Our software captures natural conversation, identifies relevant medical information, and generates a pre-filled, structured note with ICD-10 and CPT codes for physician sign-off._\n\n_Founders Caroline and Jocelyn are Stanford CS grads who specialized in AI and previously worked as medical scribes. We're looking to speak to healthcare organizations to understand more about their doctors’ documentation workflows and coding requirements, and explore partnership opportunities with our product. You can reach us at_ [_founders@knowtex.ai_](mailto:founders@knowtex.ai)_._\n\nThank you!\n\n\\- Jocelyn and Caroline\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/d7306386-438d-4c47-ba29-4b230bbc3c29)\n\n", "url": "https://www.ycombinator.com/launches/H8n-knowtex-creating-visit-notes-from-doctor-patient-conversations", "votes": 215, "created_at": "2022-09-07T07:02:20.821Z" } ] }, { "id": 27206, "name": "Delfino AI", "slug": "delfino-ai", "former_names": [ "Be Golden" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ca7311a440acc157fc34997e9d9bbdd9f1873fd.png", "website": "https://www.delfino.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Delfino AI helps automate the repetitive phone calls that providers' offices make to payors", "one_liner": "Generative AI for administrative automation in healthcare ", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1657044467, "tags": [ "Generative AI", "Machine Learning", "Health Tech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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": null, "url": "https://www.ycombinator.com/companies/delfino-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/delfino-ai.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ca7311a440acc157fc34997e9d9bbdd9f1873fd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 513088, "full_name": "Sneh Patel", "title": "Founder", "founder_bio": "Sneh has a Doctorate in Pharmacy and MBA from Harvard. She previously worked at McKinsey and an NEA-backed startup. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/snehpatel1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ff7972cb9551df4529bb0739c13f0f2951e1ac2.jpg" }, { "user_id": 679130, "full_name": "Kimberly McManus", "title": "Founder", "founder_bio": "Kimberly’s expertise in consumer health comes from leading a data science team at 23andMe. She has a Bachelor’s degree from MIT, and a Master’s degree in Biomedical Informatics and a Ph.D. in Biology from Stanford University. She’s published over ten papers in genomics, healthcare and machine learning and holds one patent, with three patents pending.", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/kimberly-mcmanus-phd-5384293a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d0d9b2cdd817a778b97a6206035835f7a9854c0.jpg" } ], "jobs": [ { "id": 60809, "title": "Healthcare Operations Associate - Part Time ", "url": "https://www.ycombinator.com/companies/delfino-ai/jobs/2HyErWK-healthcare-operations-associate-part-time", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$15 - $18", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 64075, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/delfino-ai/jobs/3OuXift-founding-ai-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $180K", "equity_range": "0.20% - 5.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "CSS", "Django", "HTML", "JavaScript", "PostgreSQL", "Python", "Machine Learning", "Software Architecture" ] }, { "id": 72851, "title": "Healthcare Operations Associate - Full Time ", "url": "https://www.ycombinator.com/companies/delfino-ai/jobs/GMYf77b-healthcare-operations-associate-full-time", "location": "US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$17 - $19", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI Voice Agents: 2025 Update | Andreessen Horowitz", "url": "https://a16z.com/ai-voice-agents-2025-update/", "date": "Jan 29, 2025" }, { "title": "The Future of Voice: Our Thoughts On How It Will Transform Conversational AI - Lightspeed Venture Partners", "url": "https://lsvp.com/stories/the-future-of-voice-our-thoughts-on-how-it-will-transform-conversational-ai/", "date": "Sep 26, 2024" }, { "title": "Hi, AI: Our Thesis on AI Voice Agents | Andreessen Horowitz", "url": "https://a16z.com/ai-voice-agents/", "date": "May 29, 2024" } ], "launches": [ { "id": 64318, "title": "Be Golden helps measure and manage inflammation levels.", "tagline": "Learn more and pre-order here: https://www.begolden.online/ ", "body": "### **THE PROBLEM**\n\n\\>50% of American adults have high inflammation levels.  Chronic inflammation may lead to many negative outcomes including:\n\n* **Chronic disease (e.g., cancer, heart disease, Alzheimer’s)**\n* **Fatigue**\n* **Symptoms of IBS, migraine and pain (fibromyalgia and myofascial pain)**  \n* **Negative impact on IVF and IUI success**\n\n \n\n### **THE SOLUTION/HOW IT WORKS**\n\nBe Golden helps you measure and manage your inflammation levels using an at home finger prick based blood testing kit and a digital platform.  How it works:\n\n1. MEASURE your baseline inflammation levels; Receive your results and how they compare to other people like you\n2. TRY A NEW HABIT from our list of personalized options from the scientific literature (or something else) and track how often you complete it\n3. RE-MEASURE every 1-2 months and receive analytics on changes to your habits and inflammation scores\n\n**THE ASK**\n\nIf you or anyone you know has health goals related to the below, please sign up to learn more here: \n\n* Help **prevent** **disease** (e.g., cancer, heart disease, Alzheimer’s)\n* **Feel good** \n* Help reduce the frequency of **migraine** symptoms\n* Help prevent **irritable bowel syndrome (IBS)** symptoms \n* Help take control of your **fertility**\n\n \n\nIf you know any of the following experts, we would love a connection:\n\n* chronic inflammation experts that we can speak to about inflammation biomarkers\n* OB/GYNs \n* Gastroenterologists\n\n  ", "url": "https://www.ycombinator.com/launches/GjO-be-golden-helps-measure-and-manage-inflammation-levels", "votes": 30, "created_at": "2022-07-05T03:44:25.192Z" } ] }, { "id": 27269, "name": "Morf Health", "slug": "morf-health", "former_names": [ "Morf" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59577fe3dbf122c5fc827baeb6cbfac2ef01ab5f.png", "website": "https://morf.health", "all_locations": "", "long_description": "Morf is an integration platform that allows healthcare providers to sync patient data and automate workflows across their tools. For example, when a patient submits an intake form, Morf creates a patient record in an EHR and sends insurance information for an eligibility check. You can think about it like Segment + Zapier for healthcare providers.\r\n\r\nMorf helps their customers eliminate tedious administrative tasks and empowers them to focus on patient care as they grow.", "one_liner": "Workflow automation for healthcare providers", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1656616010, "tags": [ "Health Tech", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/morf-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/morf-health.json", "year_founded": 2022, "city": null, "country": null, "linkedin_url": "https://linkedin.com/in/morf-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/59577fe3dbf122c5fc827baeb6cbfac2ef01ab5f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1075402, "full_name": "Montana Scher", "title": "Founder", "founder_bio": "After studying product design + computer science at Stanford, I learned how to launch and iterate on great products at Google and Square. I moved into healthcare in order to work on problems I cared deeply about. As the first product hire at Parsley Health, I led the team that built our patient data infrastructure and the tech to launch and grow our virtual care offering. I'm starting Morf to solve the problems we faced at Parsley -- to empower the next gen of digital healthcare.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/montanascher", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3345494b3dd355dcf6078357918bf7a3e862116.jpg" }, { "user_id": 1084199, "full_name": "James Thompson", "title": "Founder", "founder_bio": "I have built and managed teams at a number of early-stage companies in the highly regulated health-tech and fin-tech / data spaces. As an engineering contributor I've created simplified data models and services for complicated healthcare problems in seed and Series A+ stage companies. I have also built and managed peta-scale data pipelines. My entrepreneurial interest in health-tech was borne out of having my patented work licensed by a major UK biotech company.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesrth/", "x_url": "https://twitter.com/james_rth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a45809495e9e60629d0078038837b8fb9935f3cd.jpg" } ], "jobs": [], "news": [ { "title": "Morf Health raises $3M to make automating healthcare operations easy", "url": "https://www.morf.health/post/morf-health-seed-round-blog-post", "date": "Nov 15, 2023" } ], "launches": [] }, { "id": 27700, "name": "Latent", "slug": "latent", "former_names": [ "FactorHealth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d464e72e759603ce78169d56b1ef679252bf2dae.png", "website": "https://latenthealth.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines authorizations for life-saving drugs by analyzing EHR records and surfacing the most relevant data.\r\n\r\nWe've built our product and signed enterprise contracts with some of the largest health systems in the US.", "one_liner": "Medical language models to automate healthcare operations", "team_size": 50, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1677047143, "tags": [ "B2B", "Healthcare", "Insurance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/latent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/latent.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/latent-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d464e72e759603ce78169d56b1ef679252bf2dae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 282190, "full_name": "Rishabh Jain", "title": "Founder", "founder_bio": "Co-founder at Latent. Repeat founder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rj254", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/adb34c9707d80e9e000b4735c64af699c67aa375.jpg" }, { "user_id": 860587, "full_name": "Sri Somasundaram", "title": "Founder", "founder_bio": "Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ssomasundaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c31c54127a8c7717bccf13bbf8eefaef289ad71.jpg" } ], "jobs": [ { "id": 60167, "title": "Senior Software Engineer (Full Stack)", "url": "https://www.ycombinator.com/companies/latent/jobs/KqOXaXA-senior-software-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "Python", "React", "TypeScript" ] }, { "id": 66171, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/latent/jobs/5pgY0YE-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$120K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "CSS", "TypeScript", "Figma" ] } ], "news": [ { "title": "This $600 Million AI Startup Is Speeding Up Paperwork So Patients Get Drugs Faster", "url": "https://www.forbes.com/sites/rashishrivastava/2026/03/18/this-600-million-ai-startup-is-speeding-up-paperwork-so-patients-get-drugs-faster/", "date": "Mar 18, 2026" } ], "launches": [] }, { "id": 27766, "name": "Glass Health", "slug": "glass-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4bfc350809e1c4f0b4e0ccc1e6449d3a68998b6.png", "website": "https://glass.health", "all_locations": "", "long_description": "We empower clinicians with our AI platform for developing differential diagnoses and drafting clinical plans.", "one_liner": "AI-Powered Clinical Decision Support & Ambient Scribing", "team_size": 7, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1671385379, "tags": [ "SaaS", "Health Tech", "Digital Health", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/glass-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/glass-health.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/glass-health-inc/", "x_url": "https://twitter.com/glasshealthhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4bfc350809e1c4f0b4e0ccc1e6449d3a68998b6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 76099, "full_name": "Dereck Paul", "title": "Founder/CEO", "founder_bio": "Dereck Paul, MD is a cofounder and the CEO of Glass Health. Previously, he was an internal medicine resident at Brigham and Women's Hospital, Harvard Medical School and a medical student at the UCSF School of Medicine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dereckwpaul", "x_url": "https://twitter.com/dereckwpaul", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ea6fb090b55179ac9cb0a9f8b1de34b9f8fd924.jpg" }, { "user_id": 368372, "full_name": "William Hart", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Glass Health. Serial entrepreneur (2 x YC). PhD in Physics from Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wshart", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd478cb8341c3050c6cb2bfe84acf8106cccb13f.jpg" } ], "jobs": [ { "id": 64761, "title": "Founding Product Engineer (Remote)", "url": "https://www.ycombinator.com/companies/glass-health/jobs/fGTJfGh-founding-product-engineer-remote", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $210K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React" ] }, { "id": 64763, "title": "Founding Software Engineer (Backend, Remote)", "url": "https://www.ycombinator.com/companies/glass-health/jobs/r1SZMPD-founding-software-engineer-backend-remote", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $210K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python" ] }, { "id": 64765, "title": "Founding Software Engineer (Full-Stack, Remote)", "url": "https://www.ycombinator.com/companies/glass-health/jobs/lbhTrFq-founding-software-engineer-full-stack-remote", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $210K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React" ] }, { "id": 64767, "title": "Founding AI/Data Engineer (Remote)", "url": "https://www.ycombinator.com/companies/glass-health/jobs/HzQtmlN-founding-ai-data-engineer-remote", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $210K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Machine Learning" ] } ], "news": [ { "title": "Glass Health Raises $5M for AI-Powered Clinical Decision Support Platform", "url": "https://blog.glass.health/glass-health-raises-5m-for-ai-powered-clinical-decision-support-platform/", "date": "Sep 11, 2023" }, { "title": "Glass Health is building an AI for suggesting medical diagnoses | TechCrunch", "url": "https://techcrunch.com/2023/09/08/glass-health-is-building-an-ai-for-suggesting-medical-diagnoses/", "date": "Sep 08, 2023" }, { "title": "Glass Health Raises Investment from Breyer Capital and Y Combinator for a New Generation of Clinical Software", "url": "https://blog.glass.health/yc/", "date": "Feb 14, 2023" } ], "launches": [ { "id": 69950, "title": "Glass AI 2.0 Demo - \"ChatGPT for Doctors\"", "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical-decision making.", "body": "**Glass AI 2.0** 🩺 **🦾**\n\nIn January, [Glass Health](https://glass.health) launched a new feature called Glass AI, which uses an LLM to generate a medical diagnosis or clinical plan from a patient summary. The launch of Glass AI led to >50K AI queries and more than 5K sign-ups for the Glass Health platform.\n\nWe used the feedback from those queries to create an entirely new clinical layer for Glass AI. In this new video [demo,](https://twitter.com/GlassHealthHQ/status/1631001866564927488?s=20) our AI creates a clinical plan for a patient with heart failure. Glass AI 2.0 has been created by a team of 20 physicians and outputs state-of-the-art clinical plans with up-to-date and accurate medical references.\n\n![uploaded image](/media/?type=post&id=69950&key=user_uploads/76099/27c5a00b-4805-4ede-8353-ff8a89cb6feb)\n\n**About Us**\n\n[Dereck Paul](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass AI 2.0 waitlist [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at [@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.", "url": "https://www.ycombinator.com/launches/ICE-glass-ai-2-0-demo-chatgpt-for-doctors", "votes": 4, "created_at": "2024-01-09T21:40:10.162Z" }, { "id": 70581, "title": "Glass AI - GPT for doctors", "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical decision-making.", "body": "**Glass AI** 🩺\n\nPhysicians spend 2x more time with the computer than they do with patients. Generative AI has the potential to assist doctors with their work, but base LLMs (e.g. ChatGPT) cannot be used in the clinical environment. Base LLMs can output incorrect and outdated treatment plans. \\\n\\\nWe combine a base LLM with a proprietary clinical knowledge database and human (physician) reinforcement training to help doctors diagnose patients and generate accurate clinical plans in seconds. \n\n![uploaded image](/media/?type=post&id=70581&key=user_uploads/76099/68c8b1d6-25ad-4fc3-a4e5-1aaaf32d5958)\n\n**About Us**\n\n[Dereck Paul, MD](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day raise.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at[@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.", "url": "https://www.ycombinator.com/launches/IMP-glass-ai-gpt-for-doctors", "votes": 35, "created_at": "2023-03-28T14:36:11.359Z" }, { "id": 68710, "title": "Glass Health — Frictionless software for learning and practicing medicine 🩺", "tagline": "Glass is an AI-powered platform for medical knowledge management and clinical decision making that helps clinicians provide better patient care.", "body": "![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/471cfb16-bd60-47be-8b49-b60d0faa66a6)\n\n**🤔 PROBLEM**\n\nWe saw physicians struggling to manage an ever-expanding world of complex clinical information from heterogeneous sources. We also experienced this problem first-hand in the clinical environment. Our friends in medicine had phones and email accounts full of disorganized journal articles, tweets, clinical images, lecture slides. They could not easily reference these important digital assets when needed to enhance their care of patients.\n\n**🩺 SOLUTION**\n\nGlass is a medical knowledge management platform, aka “Notion for doctors.” Our platform is tailored to how clinicians capture, organize, store, and retrieve medical knowledge.\n\nWe’ve created medicine-specific knowledge management features, including:\n\n* Schemas, Scripts, and Cases: store content in special page templates tailored to common medical knowledge constructs.\n* Pearls: capture snippets of clinical knowledge encountered during patient care and later organize them in your notebook.\n* Linking and Visualizations: easily backlink pages and later view their relationships with medicine-specific visualizations.\n* Community Library: view and save pages published by others in the Glass Health Community.\n* Glass AI: draft differential diagnoses and clinical plans using generative AI. ([Glass AI Demo](https://glass.health/ai))\n* Team Collaboration (coming soon): track key information about patients in a HIPAA-compliant team collaboration environment.\n\n![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/ba37b973-9395-4320-b3dd-9771299ce305)\n\nThese features help clinicians bring all medical knowledge assets they encounter throughout their careers into one place. This helps them achieve clinical mastery faster and leverage their ever-growing digital external brains to better care for patients.\n\n**📖 FOUNDER BACKGROUNDS**\n\n[Dereck Paul, MD](https://twitter.com/dereckwpaul) was a resident physician in internal medicine at Brigham and Women’s Hospital, Harvard Medical School, and a medical student at the UCSF School of Medicine.\n\n[Graham Ramsey](https://www.linkedin.com/in/graham-ramsey/) interned at Watsi (YC W13) and designed and built the EHR at the telemedicine company PlushCare. He was an early product team member at Modern Fertility (YC S17) until its acquisition by Ro in 2021.\n\nContact us at [founders@glass.health](mailto:founders@glass.health).", "url": "https://www.ycombinator.com/launches/HsE-glass-health-frictionless-software-for-learning-and-practicing-medicine", "votes": 25, "created_at": "2023-01-25T17:58:38.335Z" } ] }, { "id": 27785, "name": "Pledge Health", "slug": "pledge-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce31c6ca3dabf16bfd5ee207762b419f47372bd.png", "website": "https://www.pledge.health/", "all_locations": "New York City, NY, USA", "long_description": "Our AI browser assistant automates insurance tasks like verifying benefits, submitting prior auths, checking claim statuses, and more across all payer portals, directly from the clinic's EHR. It does exactly what the admin team is doing today, just helps them do it 10x faster and as thoroughly as a seasoned teammate.", "one_liner": "AI RCM assistant that handles any insurance task on payer portals for…", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1673114409, "tags": [ "SaaS", "Health Tech", "B2B", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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": null, "url": "https://www.ycombinator.com/companies/pledge-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pledge-health.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pledge-health-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dce31c6ca3dabf16bfd5ee207762b419f47372bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 820961, "full_name": "Andrew Tang", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-tang-033a6088/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3766177ca06466cd82979e976a35d4e640fe41e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69977, "title": "Pledge Health - Automated patient billing for healthcare clinics", "tagline": "We automate cost estimation and billing so clinics get paid by their patients faster", "body": "Hi! We’re Shreya and Andrew, the team behind [Pledge Health](https://www.pledge.health/?utm_source=launch_yc&utm_medium=post&utm_campaign=launch_yc).\n\n**TL;DR** Pledge automates patient billing for independent healthcare clinics. We estimate how much insurance will cover for each visit, so clinics can charge patients at the time of service, rather than waiting weeks for insurance to process.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/dfd59475-c145-471f-966b-d69acf3819ef)\n\n### 🤯  **The Problem**\n\nA larger share of healthcare clinics’ revenue is coming from patients instead of insurance companies, so clinics are trying to charge patients upfront for care. However, the manual process of estimating how much a patient will pay after insurance is error-prone, expensive, and time-consuming.\n\nTake Dr. Emily for example; she **spends more than 20 cents to collect every $1 from a patient**. Despite the high cost and effort, her office is only able to collect 50% of the patient's responsibility at the time of the visit.\n\nThere are over 200k clinic owners like Dr. Emily in the US, **struggling to collect $47 billion in patient payments** every year.\n\n### 💡 **Our Solution**\n\n* Automatically verifies patient insurance benefits ahead of their appointment.\n* Creates personalized out-of-pocket cost estimates by combining the patient’s insurance benefits, the predicted services for the visit, and contracted prices.\n* Communicates the estimated cost and final bills clearly with patients via email and text and allows patients to schedule payments.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/e1fa730d-526f-440b-99b8-53fc81ffa657)\n\n📈 Results with Pledge\n\n* Reduce time spent on collecting patient responsibility by 75%\n* Increase collections by 17%\n* See > 90% patient satisfaction\n\n### 🤠 **Team**\n\nAndrew was a founding engineer at CancerIQ, where he built integrations with electronic health record systems that are crucial to automating billing workflows at Pledge.\n\nShreya was a software engineer at Microsoft, where she worked on healthcare and ML applications.\n\n### 🫶 **Our Ask**\n\nAre you a digital health company or know someone who owns/works at a private healthcare practice that accepts insurance? **Please connect with us at **[**engage@pledge.health**](mailto:engage@pledge.health)**!**\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/b78a4d89-22e0-40dd-bed0-1fdd421c39e8)\n\n", "url": "https://www.ycombinator.com/launches/ICf-pledge-health-automated-patient-billing-for-healthcare-clinics", "votes": 299, "created_at": "2023-03-07T05:01:21.102Z" } ] }, { "id": 27945, "name": "Fairway Health", "slug": "fairway-health", "former_names": [ "SpeakMosaic", "MosaicAI", "Mosaic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c6a5ab354c877fee7eb9b5d62ab08b4f08908c4.png", "website": "https://www.fairwayhealth.co/", "all_locations": "New York City, NY, USA; Philadelphia, PA, USA; Boston, MA, USA; Remote", "long_description": "Fairway Health is an AI-assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\r\n\r\n", "one_liner": "AI Co-Pilot for Health Insurers to Authorize Treatment Faster", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1679008198, "tags": [ "Health Tech", "B2B", "Healthcare", "Health Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "Healthcare", "Healthcare IT" ], "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": null, "url": "https://www.ycombinator.com/companies/fairway-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/fairway-health.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fairway-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c6a5ab354c877fee7eb9b5d62ab08b4f08908c4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1096888, "full_name": "Moses Im", "title": "Founder", "founder_bio": "CEO of Fairway Health. Moses was previously an MD candidate at Thomas Jefferson Medical School where he also was a clinical researcher in patient outcomes of surgical vs transcatheter aortic valve replacement. Before medical school, he also did molecular biology research at Princeton University in HIF-1α as a possible therapeutic target for Parkinson's Disease and the role of HIF-1α in early-stage development of aviary lungs. Moses has a bachelor’s degree in molecular biology from Princeton. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moses-im/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7590acd57c95d2aa492e9de950f5234117dee7f1.jpg" }, { "user_id": 1031133, "full_name": "Joseph Chen", "title": "Founder", "founder_bio": "CPO of Fairway Health. Joseph has dedicated several years building at the intersection of health, ML, and software. He has research experience at Deepmind, Columbia, and Synbio Technologies in areas such as fabricating a neurosurgical tracking sensor and predicting antibody heavy and light chain pairing within an NGS sequencing library. He was also a software engineer at Pillpack where he built a service that checks if users' prescriptions are safe to take in the context of their health profile.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josephchen2022/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12d2d68b2ed983d23a66ad80caa4859e0c7838dd.jpg" }, { "user_id": 321627, "full_name": "Grace W", "title": "Founder", "founder_bio": "CTO of Fairway Health. Grace previously worked at Asana and AWS on authentication/authorization and IoT device data monitoring respectively. Before that, she worked at MDClone, developing packages to enable the analysis of hundreds of thousands of datapoints for attributes such as patient remission. She also previously did research in ML in computer vision (detecting diseases from retinal OCT scans) and natural language processing (efficiently optimizing pre-trained language models like GPT).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/grace-wang-0a6173193/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d07be6a7265a3930e035ca9926a48138df952e8f.jpg" } ], "jobs": [], "news": [ { "title": "TurningPoint Healthcare Solutions Acquires Fairway Health to Accelerate Innovation in Condition Management", "url": "https://www.prnewswire.com/news-releases/turningpoint-healthcare-solutions-acquires-fairway-health-to-accelerate-innovation-in-condition-management-302144997.html", "date": "May 14, 2024" } ], "launches": [ { "id": 70364, "title": "Fairway Health - Process prior authorization faster", "tagline": "We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.", "body": "### **TL;DR**\n\nFairway Health is an AI assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\n\n### **What is Prior Authorization?**\n\nPrior Authorization is a process where physicians must obtain approval from a patient’s health insurance plan before a specific treatment or medication is delivered. This process can take an **average of 2-14 days, with some cases taking upwards of 15-31 days**. This prevents patients from receiving necessary treatments in a timely manner. The entire healthcare industry is also projected to **spend $36 billion each year** in administrative costs for this process. \n\n**This process for health insurance is still manual and inefficient:**\n\n1. Patient documents sent to health insurance are a mess and can be a **70-100+ page fax.**\n2. Health insurance companies have to **allocate more headcount to try and manually check these documents** against their medical necessity criteria, costing them millions each year.\n\n### **How it works:**\n\nWe speed up the medical eligibility determination for health insurers. We ingest patient documents + criteria from health insurance plans and use LLMs to output an approval/denial decision with justification based on an evaluation of each sub-criteria. We also highlight the context within the medical document that informed the decision to allow for easy review.\n\n![uploaded image](/media/?type=post&id=70364&key=user_uploads/1096888/fceffbb3-e71a-4523-a0a9-df7c73f34c76)\n\n### **Our ask:**\n\nAre you in health insurance or do you know anyone in health insurance? Ping us at [moses@fairwayhealth.co](mailto:moses@fairwayhealth.co). We would love to get connected and hear if we can help speed up your medical necessity determination process.", "url": "https://www.ycombinator.com/launches/IIu-fairway-health-process-prior-authorization-faster", "votes": 304, "created_at": "2023-03-16T23:33:50.968Z" } ] }, { "id": 27966, "name": "CombineHealth", "slug": "combinehealth", "former_names": [ "Oodles.ai", "upTrain AI", "UpTrain", "UpTrain AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3300df884c68b249e62977103a165c1536ec5e0e.png", "website": "https://www.combinehealth.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Preventing revenue leakage in health systems using AI", "one_liner": "Automating Healthcare Revenue Cycle Management with AI Workforce", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1675744580, "tags": [ "Machine Learning", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/combinehealth", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/combinehealth.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/combine-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/uptrain-ai/uptrain", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3300df884c68b249e62977103a165c1536ec5e0e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 588096, "full_name": "Sourabh Agrawal", "title": "Founder", "founder_bio": "Sourabh has been building and deploying machine-learning models for the last 8 years. Previously he co-founded Insane.ai (an AI-powered fitness app) - a seed-funded startup where he built state-of-the-art computer vision models, scaled the product to 150k+ users, and grew the team to 20+ members. Before starting up, Sourabh worked as an AI consultant at Bosch (autonomous driving) & a quant associate at Goldman Sachs. He graduated from IIT Bombay, where he studied Electrical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sourabh-agrawal-62932b175/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24492d8f269bdb121604a7a0991458c40d838bfe.jpg" }, { "user_id": 500862, "full_name": "Shikha Mohanty", "title": "Founder", "founder_bio": "Shikha was a venture builder and SaaS investor in the past. She has worked with several deeptech companies in her previous work experience and has contributed to their growth journeys by providing support on their GTM startegy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shikhamohanty/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a59dd62220d49df3b92feaa3bfabd8a04ab4040.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 77918, "title": "UpTrain AI: Enterprise-grade tooling to ship LLM applications confidently", "tagline": "Full-stack LLMOps platform for all your production needs 🔧", "body": "**TLDR:** Hi, everyone. We are Shikha & Sourabh, and we help companies ship LLM applications confidently. We provide enterprise-grade tools to evaluate, experiment, monitor, and test LLM changes easily. We provide seamless collaboration, and [being OSS](https://github.com/uptrain-ai/uptrain), we provide tons of customization and self-hosting capabilities to satisfy your data governance needs.\n\n### **PROBLEM 🤔:**\n\n**“Building LLM prototypes is easy, but productionising them is damn hard.”** (You might have guessed it given we are building an LLMOps platform 😉). So, LLMs are unpredictable and dealing with them is complex and messy:\n\n1. You spend countless hours manually reading through your chatbot responses or analyzing the actions of your automation agents.\n2. Fixing the prompt to solve one failure case opens a can of worms and can make previous answers go bad.\n3. Improvements are always reactive - users complain, and then you go back and fix them, eroding their trust and your credibility. \n4. Collaborating with your team is messy - countless Google Docs and Slack channels are created to debug failure cases.\n\n### **SOLUTION 💡:**\n\nUpTrain provides the most advanced LLMOps platform to streamline the complete process. It goes beyond just giving scores or monitoring logs but provides a single platform to identify, debug, and collaborate to improve the accuracy of your LLM applications. \n\n* We give reliable scores over various metrics (both LLM-based and classical NLP ones) as well as allow you to define custom ones to evaluate your full LLM pipeline comprehensively.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/c9c6e03f-be80-4799-a783-05074f0d72ea)\n\n* We run root cause analysis to identify if it is a retrieval issue, if your context requires reranking, if the LLM is unable to utilize the context, or if certain instructions are not being followed.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/117c15f7-c03b-4821-b033-8ab4b0d6e3df)\n\n* State-of-the-art techniques for automated prompt optimization, automatic eval generation, finding common topics among failure cases, etc., to act as your LLMOps co-pilot.\n\n![uploaded image](/media/?type=post&id=77918&key=user_uploads/588096/e190b97e-49f9-45be-9dba-ec8233e3f2fe)\n\nBest of all, UpTrain is open-source under Apache 2.0 with more than 1700 GitHub stars and adoption among developers across multiple Fortune 500 companies. Being OSS, UpTrain has tons of customization options and can be deployed in your secure cloud environment, fulfilling your data governance requirements.\n\n### **OUR ASK 🙌:**\n\n1. If you are building LLM applications, we would love to get feedback on [our platform](https://uptrain.ai/).\n2. If you are doing evaluations with home-grown solutions, let us know what they are. We would be happy to add them to [our OSS](https://github.com/uptrain-ai/uptrain).\n3. Join [our Slack community](https://join.slack.com/t/uptraincommunity/shared_invite/zt-1yih3aojn-CEoR_gAh6PDSknhFmuaJeg) to stay updated on our progress.\n\nIf you want a demo or want to chat more, please [book a call here.](https://calendly.com/uptrain-sourabh/30min)", "url": "https://www.ycombinator.com/launches/KGk-uptrain-ai-enterprise-grade-tooling-to-ship-llm-applications-confidently", "votes": 40, "created_at": "2024-01-29T15:19:58.364Z" }, { "id": 69166, "title": "UpTrain - Open-source tool to observe your ML models ⚙️ 🔧", "tagline": "Open-source Datadog for machine learning models ", "body": "**TL;DR:** UpTrain is an open-source ML observability and refinement tool. It helps data scientists observe how their ML models are performing in production and continuously improve them over time by automatically retraining them on cases where the model accuracy was low.\n\n**Hi everyone!** Sourabh, Vipul, and Shikha here, and we’re the team behind UpTrain. \n\nSourabh (CEO), previously founder at fitness tech, where he spent most of his time improving their AI models rather than, well, working out 🏋️\n\nVipul (CTO), previously worked at Meta and Bytedance, where he was busy applying his doctorate knowledge (yes, the Ph.D. kind) to improve their ML models 🔭\n\nShikha (CMO), an ex-VC, where she witnessed the magnanimity of AI problems from the inside of her portfolio companies and this is where she got her eureka moment 🔔\n\n![uploaded image](/media/?type=post&id=69166&key=user_uploads/588096/a21aa066-6198-48c0-8c27-354f6e4ba73a)\n\n### **Problem (The Origin Story 📖)**\n\nDuring the last 7+ years of building and deploying ML models, we have been constantly frustrated due to a lack of good tools that could answer one simple question - “Are our models working as expected in production?“\n\nSourabh first experienced this issue while working on self-driving cars at a Fortune 500 company. Then again he faced similar issues at his startup. The only way the model issues were highlighted was through reading loads of customer complaints, and it was excruciating to see their (hard-earned) revenue churn due to model degradation **😩.** \n\nCoincidentally, Vipul was solving the same problem at the big techs, where he built internal observability tools and optimized model retraining processes. The three founders spoke to 100+ ML practitioners to validate their hypothesis and got a unanimous yes! In fact, during one of the user interviews, we learned that an innocuous bug in the model deployment code led to 3+ weeks of wasted debugging efforts and losses of millions of revenue dollars 🤯\n\nWe are building UpTrain to prevent you from experiencing the same agony!\n\n### **The Solution 💡**\n\nUpTrain is built specifically for Machine Learning. We natively support all the things an ML practitioner requires to observe and improve their models.\n\n✅ Complete visibility into your model’s online health via real-time dashboards \n\n✅ Automatically collects outliers and edge cases \n\n✅ Identifies data distribution shifts \n\n✅ Monitors quality of object embeddings\n\n✅ Model explainability \n\n✅ Continuously retrains and improves your model \n\nCherry on the cake, we are Open-source! Some of the biggest AI-first startups are adopting UpTrain to fulfill their ML observability needs.\n\n### **How to use UpTrain 🤔**\n\nInstall UpTrain from pip, just tell it what all you want to observe, and UpTrain handles all the complexities in the background. Something as simple as below:\n\n![uploaded image](/media/?type=post&id=69166&key=user_uploads/588096/3f9f9f08-df84-480d-af42-62a6af0950c2)\n\nWe DO NOT require you to change any part of your production pipelines and readily integrate with all major ML libraries and tools. In fact, we are running a limited beta program where we provide a no-strings-attached pilot and do all the heavy lifting to ensure seamless integration of UpTrain in your systems. Ping us to know more!\n\n### **Our Ask 🙌**\n\n* Interested? Try us [out](https://uptrain.ai/) or book a demo [here](https://calendly.com/uptrain-ai/30min?month=2023-02) 🔥\n* To follow our progress, do star our [project](https://github.com/uptrain-ai/uptrain) on Github (show us some love - it’s free ❤️) \n* Know someone who needs ML observability, connect us 🔗\n\nFeel free to reach out to any of us with questions, bugs, requests, etc. at [sourabh@uptrain.ai](mailto:sourabh@uptrain.ai)", "url": "https://www.ycombinator.com/launches/Hza-uptrain-open-source-tool-to-observe-your-ml-models", "votes": 169, "created_at": "2023-02-09T18:18:08.592Z" } ] }, { "id": 28018, "name": "Sanvivo", "slug": "sanvivo", "former_names": [ "Sanvivo GmbH", "Sanvivo", "Sanvivo GmbH" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ccaf529126f9d95946ed5ba74aa3dd498334a60.png", "website": "http://www.sanvivo.eu", "all_locations": "Munich, BY, Germany", "long_description": "Sanvivo builds a multisided platform to enable customers to order medications, get pharmaceutical advice, and book health services at local pharmacies in Europe. Just like Shopify for pharmacies.\r\n\r\nSanvivo gives pharmacies software to take, fill and schedule delivery for online orders. We also bring instant demand through integrations with 3rd party consumer delivery companies.\r\n\r\nAlmost all pharmacies in Europe are, by law, local 1-person businesses. And they are not ready for online orders. Regulatory changes require pharmacies to take and fill e-prescriptions (roll-out Jan-23), but many have no way to do this online today. \r\n\r\nSanvivo uses technology to give local pharmacies digital superpowers, enabling them to combine fast supply and high-quality consultation with state of the are e-commerce solutions.", "one_liner": "Shopify for pharmacies in Europe", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1673111451, "tags": [ "Marketplace", "SaaS", "Consumer Health Services", "Delivery" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sanvivo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sanvivo.json", "year_founded": 2021, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/sanvivo-gmbh/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ccaf529126f9d95946ed5ba74aa3dd498334a60.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/abbfc098715c3c847b223f4b96a50dc7ca428823.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1159560, "full_name": "Julius Rachor", "title": "Founder", "founder_bio": "Julius Rachor is the co-founder and CEO of Sanvivo. He has worked with BMW in several roles on e-mobility projects (i8, i3) and the Data and ML infrastructure for BMWs Autonomous driving division. Julius is passionate about building technology-driven products and businesses. He earned a degree in physics and a Ph.D. in electrical engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juliusrachor/", "x_url": "https://twitter.com/JuliusRachor", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfd4569ce1acf5ad0a1426c03f968a78d9dcf0db.jpg" }, { "user_id": 1159150, "full_name": "Nikolai Alemi Hariri", "title": "Founder", "founder_bio": "Sanvivo GmbH - Co-Founder & CEO || ALEMI PHARMACY - pharmacy manager || \nLudwig Maximilian University of Munich - pharmacist\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikolai-alemi-12157123a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0424f8c9c6bd89c1f087d56d3031bb9dc1489bdb.jpg" }, { "user_id": 1153068, "full_name": "Dominic Haul", "title": "Founder", "founder_bio": "Sanvivo GmbH - Co-Founder & COO ||\nNeumann / Sennheiser - Team Lead Acoustics & Mechanics ||\nKlangPurist - Co-Founder ||\nKÖTTER Consulting Engineers - Consulting Engineer ||\nUniversity of Applied Sciences Munich, Germany - Diploma, Technical Physics\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dominic-haul-524a00111/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58bb324537e2536f9067483d3bf5ebf1277a2252.jpg" }, { "user_id": 1070040, "full_name": "Sven Wildermann", "title": "Founder", "founder_bio": "CTO and Co-Founder of Sanvivo. He studied Computer Science in Berlin and has been with Microsoft Germany as Cloud Solution Architect, consulting enterprise customers concerning well designed data architectures.\nPassionate about data and artificial intelligence.\nLoves all kind of process automation (favorite tool: Microsoft Azure Logic Apps).\nEnjoys to explain complex topics much simplified to everyone who is eager to listen.\nHost of \"AudioDatAI\" - a German speaking podcast about data and AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/svenwildermann/", "x_url": "https://twitter.com/svenwildermann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc2fd74545656a5bebb7a66fc99ea152e3473229.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68308, "title": "📱💊 Sanvivo - DoorDash for pharmacies", "tagline": "Sanvivo enables customers to order medication at local pharmacies.", "body": "⏰ TL;DR\n\nWith our mobile app, [VIVOLY](https://onelink.to/vivolylaunchyc), patients can easily order medication and get them delivered to their doorstep in just 120 minutes.\n\n\\\n**❌ The problem – buying medication in Europe is inconvenient**\\\nFor patients:\n\n* Medicine is often out of stock\n* Long waiting times of up to 24h when buying medication\n* Medication can be purchased at mail-order-pharmacies, but shipping takes several days\n\nFor local pharmacies\n\n* Pharmacies are barely using digital tools\n* Orders (if any) are operated using paper notes or fax\n* Pharmacies can not scale (cap of 4 - 6 pharmacies per owner in Europe)\n* No digital tools to improve customer loyalty & retention\n\n\\\n**📈 The European pharmaceutical market is changing rapidly**\n\n* Telemedicine is expected to grow by 300% by 2027\n* E-prescription unlocks the market for a new digital patient journey\n* Pharmacies in Germany are already doing 120M deliveries a year without any digital tools.\n\n\\\n**✨ Our Solution**\\\nWith our mobile app, [VIVOLY](https://onelink.to/vivolylaunchyc), patients can easily order medication and get them delivered to their doorstep in just 120 minutes. Local pharmacies receive these orders in their Point-of-Sale (POS) systems and communicate with the patient via chat.\n\nVivoly is beneficial, especially for patients with difficulty leaving their homes due to mobility issues or underlying health conditions that make them more vulnerable to infection. The risk of transmission is reduced by allowing patients to order medications online and deliver them directly to their doorstep.\n\n![uploaded image](/media/?type=post&id=68308&key=user_uploads/1159560/c176ffba-7dc7-42f1-a4f0-857fec190e86)\n\n\\\n**⚙ How it works**\\\nIn most European countries, franchising is not allowed for pharmacies. Just like individual restaurants, pharmacies in Europe are one-person businesses. Without any state-of-the-art e-commerce solutions, it is tough for local pharmacies to compete with mail-order-pharmacies. This is true even though local pharmacies offer a much faster patient supply.\n\nIn Germany alone, there are over 120M deliveries done per year by pharmacies. Those are done without any digital process and are managed mostly manually. Compared to most retailers, pharmacies typically have real-time inventory management.\n\nSanvivo builds a marketplace that unlocks this existing infrastructure and delivery capabilities to enable a fast “quick-commerce” user experience. With our App, [VIVOLY,](https://onelink.to/vivolylaunchyc) patients order medication and get pharmaceutical advice via chat. Pharmacies are enabled to process those orders through our web app. Then, ready-to-pick-up orders are delivered by riders of the pharmacy using our mobile rider app.\n\n\\\n**🙏 Asks**\n\n* Download our app (currently only in Germany) and share your feedback with us ([founders@sanvivo.eu](mailto:founders@sanvivo.eu))\n\n### [Download VIVOLY App](https://apps.apple.com/app/apple-store/id1634607276?pt=125264050&ct=bookfacee&mt=8)\n\n* If you know great **working students** with coding, online marketing, or sales skills, please let us know.\n* **We are open to connecting** and cooperating with health providers.", "url": "https://www.ycombinator.com/launches/Hlk-sanvivo-doordash-for-pharmacies", "votes": 23, "created_at": "2023-01-10T12:22:21.191Z" } ] }, { "id": 28780, "name": "Clearest Health", "slug": "clearest-health", "former_names": [ "Mano AI", "Mano", "Mano AI", "Mano Health", "Mano Claims", "Mano Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4c1cc0751098e00020fe57a63b4a98b4977331.png", "website": "https://clearesthealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Clearest Health is an AI-enabled revenue recovery platform for independent healthcare practices with underpaid out-of-network claims. Through verified IDR benchmarks, claim analysis, and audit-ready dispute support, Clearest helps providers strengthen No Surprises Act appeals and recover revenue that might otherwise be written off.", "one_liner": "AI revenue recovery for underpaid healthcare claims.", "team_size": 11, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1686714264, "tags": [ "SaaS", "Health Tech", "B2B", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clearest-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/clearest-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4c1cc0751098e00020fe57a63b4a98b4977331.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 276974, "full_name": "Nicolas Raga", "title": "Founder", "founder_bio": "I'm the CEO and co-founder of Clearest Health. Before starting Clearest, I worked on the distributed training infrastructure for Amazon's LLM models. I also spent some time building core features for AWS's real-time data streaming service called Kinesis Data Analytics. When I'm not working, I'm all about espresso, adrenaline, fitness, and Venezuelan rap 🇻🇪", "is_active": true, "linkedin_url": "https://linkedin.com/in/nraga", "x_url": "https://twitter.com/nicolas_raga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843b6fce8380b705bceb158e3bccb7f0a041bd42.jpg" } ], "jobs": [ { "id": 69964, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/9JzoVPS-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 5.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Go", "Node.js", "PostgreSQL", "React", "TypeScript", "DynamoDB" ] }, { "id": 95160, "title": "IDR Filing Specialist", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/vSiCt2K-idr-filing-specialist", "location": "New York, NY, US / Remote", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$45K - $105K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106244, "title": "Account Executive (Healthcare Revenue Recovery)", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/XBHHjyp-account-executive-healthcare-revenue-recovery", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106245, "title": "Head of Partnerships", "url": "https://www.ycombinator.com/companies/clearest-health/jobs/0vbEI0d-head-of-partnerships", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $135K", "equity_range": "0.50% - 0.80%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 28802, "name": "Sohar Health", "slug": "sohar-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e3f7c771362aee962754af2fd00c6281c92c7b2.png", "website": "https://www.soharhealth.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Sohar Health is an AI-driven front-end RCM solution that transforms insurance verification processes for healthcare providers, enabling faster patient conversions and reducing administrative workloads. With a 95% automation rate, our API-first platform seamlessly integrates into existing workflows to provide real-time claim accuracy and eligibility checks. \r\nKey performance metrics showcase the power of our technology: Median latency of just 6 seconds, ensuring real-time eligibility; over 90% of checks returned within 30 seconds for increased patient conversion; 96% accuracy in identifying and verifying benefits details; Industry-leading 99% accuracy for eligibility determination; >90% carve-out detection rate, mitigating surprise billing risks; a 60% success rate with our Insurance Discovery API, helping identify coverage for self-pay patients.\r\n\r\nOur customers include outpatient clinics, specialty practices, and digital health platforms looking to streamline front-end claim management. By reducing errors and maximizing clean claim submissions, Sohar Health empowers healthcare organizations to convert and retain more patients, reduce operating costs, and increase their top-line revenue.", "one_liner": "AI-powered insurance verification to boost patient conversion.", "team_size": 8, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1688557144, "tags": [ "Health Tech", "Digital Health", "API", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Healthcare", "Healthcare IT" ], "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "MEET THE BRAIN & THE HEART OF SOHAR HEALTHSohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.LUCAS GORDONEx-CTO & CISO of Quit Genius (YC W18)Most recently CTO of Quit Genius, the world’s leading digital clinic for substance addictions, Lucas is uniquely positioned to solve benefits integration problems using all he’s learned along his career journey. He’s one of a handful of people in this market who’s experienced firsthand the pain caused by this problem, and the value of solving it. Lucas holds an MSc in Computer Science from the University of London. He’s designed and built systems to integrate with 100+ employers, including integrations with Evernorth and a Fortune 10 customer. At Quit Genius, he also assumed the role of Chief Information Security Officer, leading the company through SOC-2 compliance audits, achieving HITRUST certification, and attended the Y Combinator program in 2018–helping secure over $80M investment funding from seed to Series-B. It was there he met his co-founder, and their aligned passion for healthcare and technology, combined with their deep knowledge of inherent pain points, sparked the idea that became Sohar Health.DR. ASHISH (ASH) MANDAVIAMedical Doctor & Digital Health InnovatorA former National Healthcare System doctor in the UK, Ash was inspired to jump into the world of startups seven years ago, initially as a product manager, using his clinical knowledge to support a team of engineers to create and build a piece of triage software for ERs in the UK. He moved on to a medical education technology company as employee one and helped scale the organization as product and services director. There, he found a love for the commercial side and moved into business development.This led Ash to taking on the role as EMEA Commercial Director of Quit Genius (YC W18), where he led a team to deliver commercial B2B sales, client success, and partnerships with large employers, private healthcare insurers, and public health systems. It was there he discovered inherent pain points related to integrating with these types of payers, slowing access for people getting the help they need.Most recently, Ash was a strategic consultant  at Simon Kucher and Partners, focusing on market access and reimbursement for Digital Health solutions across the UK, Europe, and the US." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "The ethos and ambition towards growth and becoming a $1b+ company at Quit Genius was a strong motivator to take Sohar Health through the YC accelerator program. The company has accelerated by 12 months in a 10 week period and this is mainly due to the strong guidance from our group partners and accountability that we have shown to our peers and colleagues. We have developed significant traction among customers and our product is loved by our customers. YC has pushed us to become the most accurate eligibility verification tool in the behavioral health market and we now run upwards of 60,000 eligibility checks per month. The fundraising process has moved faster than our initial expectations and we feel that the feedback and support given prior to the raise has allowed us to enter those conversations with more confidence and purpose. " }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "From in-person events across the bay area to the founder matching program, we have managed to embed ourselves in the YC community and learn from this amazing network of founders. As we complete our Seed round, we hope to follow the guidance laid out in the post-batch manual and Series A fundraising guide to continue our growth trajectory and our journey towards becoming a unicorn in the health tech space." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Lucas and I caught up at the start of 2023 when he had exited Quit Genius (YC W18) and I was on paternity leave from my strategy consulting role. We had discussed this burning platform issue on several occasion and recognized that we were in a unique position to solve it. We initially focused on employer eligibility verification for digital health companies, but quickly became aware, through customer discovery, of an even greater challenge to tackle in Real Time Eligibility (RTE) and Coverage of Benefits (COB) determination in the behavioral health space. This was an inflection point and gave us the confidence to pursue a pre-seed round, led by Concept Ventures and allowed us to build our eligibility verification tool and automated AI coding feature. We gained further proof points of the value of our product with strong initial customer traction, booking $118K ARR in the past two months." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "One of the biggest reasons behavioral health companies can’t grow faster is that 11% of every patient get denied for insurance reimbursement which directly hits revenue, employee cost and marketing cost. A large proportion of these claims denials are related to eligibility inaccuracies. With our 99% accurate eligibility checker, we reduce these denials to 2%.To determine a patient’s eligibility for a behavioral health service, you could use an existing electronic checker or amass a manual administrative team. Standard automated eligibility checks in the market can only achieve a 50 - 60% accuracy level for mental and behavioral health. The reason these vendors don’t work is that they do not take account of payer carve outs - when insurance companies carve out behavioral health coverage to third party insurers.With our deep understanding of the complex integrations within the payer ecosystem, we can get our automated accuracy check up to 99% and essentially significantly reduce the chance that a patient’s claim will be denied by their insurer." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We believe in patients accessing healthcare without limits.What if providers were free from the barriers & burdens that waste money and time, and instead could focus on the things that help patients regain and maintain their health? What if signing up for appointments with service providers were easier to manage and integrate? What if there was an easy, cost-effective way to simplify providers’ operations? What if providers had more time to deliver excellent care and weren’t focusing on how to work with insurers? Sohar Health is the marriage of an engineer’s problem-solving brain and a physician’s healing heart, connecting healthcare providers & payers in a more integrated and centralized way.\\We’ve felt the devastating effects of ineffective healthcare on a very personal level, and we have a focused vision of getting better care to more people, quickly and seamlessly. What if clinical services, delivered in bricks and mortar practices or remotely, were able to be the lifeline of hope they were intended to be for millions of patients across the US? Smoother integration.Fewer barriers.Less waste.Improved health.Greater productivity.Effortless connection between payers & providers.What if?It’s time to fully connect and integrate via Sohar’s clearing house for the modern healthcare system" } ], "url": "https://www.ycombinator.com/companies/sohar-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sohar-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sohar-health/", "x_url": "https://twitter.com/soharhealth", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sohar-health", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e3f7c771362aee962754af2fd00c6281c92c7b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7c448092ce5ceb82048219f074b738af8df8f2dc.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1376962, "full_name": "Dr Ashish Mandavia MD", "title": "Founder", "founder_bio": "I am a health-tech entrepreneur, with a clinical background, and the CEO at Sohar Health, automating insurance eligibility verifications. With 8+ years of combined experience in health-related startups, strategy consulting, and clinical practice, I have a unique perspective and skill set to drive innovation and growth in the digital health and technology space across EMEA and the US.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ashishmandavia", "x_url": "https://twitter.com/ash_soharhealth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/638f520c1d51225e78cedb02ddb093362d08c0eb.jpg" }, { "user_id": 682456, "full_name": "Lucas Gordon", "title": "Founder", "founder_bio": "CTO and cofounder of Sohar Health (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-gordon-48ba6439", "x_url": "https://twitter.com/lucasjgordon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95a13107cd71fae4f1999fb40052e32082acee12.jpg" } ], "jobs": [], "news": [ { "title": "Zocdoc acquires health tech company Sohar Health for automated benefits eligibility checks", "url": "https://www.fiercehealthcare.com/ai-and-machine-learning/zodoc-acquires-health-tech-company-sohar-health-automated-benefits", "date": "Oct 14, 2026" } ], "launches": [ { "id": 72772, "title": "🧠 Sohar Health: AI-powered eligibility checks, VoBs and insurance discovery for behavioral health", "tagline": "Unleash your behavioral health company's potential with targeted eligibility verification, and AI-powered Verification of Benefits (VoB) to drive revenue from health payers.", "body": "### \n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/82bc99d7-9218-4ecd-b405-2aad0c12fbd7)\n\n### ⚡**TL;DR**\n\nBehavioral health providers are investing significant resources into expensive manual operations teams to determine if patients are eligible for care, in-network, based on their payer contracts, and determine the patient’s responsibility towards their healthcare reimbursement. Enter Sohar Health. Our API-based platform streamlines insurance eligibility verification and offers AI-powered Verification of Benefits (VoB) and insurance discovery, automating manual workflows, increasing patient intake, and generating more revenue. Experience the power of seamless integration and unleash the full potential of your behavioral health company with Sohar Health.\n\n### **🤯 The problem**\n\nImproving front end RCM (revenue cycle management) accuracy is crucial as 85% of related-denied claims (worth $40 billion) are preventable. However, determining the eligibility, network status, and pricing transparency for patients is a challenge due to complex relationships between payers and the limited data exchange standards in healthcare IT ecosystem. These exchanges are costly, time-consuming, and divert engineering resources, hindering product development. Delaying or skipping integrations leads to revenue loss and increased manual efforts for RCM operations teams, creating a significant barrier for behavioral health companies in a rapidly growing industry, valued at $280 billion in 2020.\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/008d7770-25e8-44a6-9f88-883c5470b9c1)\n\n### **🧠 The Solution**\n\nSimilar to Stripe (YC09) and Plaid, Sohar Health empowers developers by providing direct integrations to payers. Our API-based platform offers three key features: targeted insurance eligibility determination, accurate network status, and AI-powered Verification of Benefits (VoB). By leveraging our services, behavioral health providers can:\n\n1. Unlock up to 25% additional revenue through improved front end RCM accuracy\n2. Find more eligible patient and minimize churn or attrition \n3. Halve the time spent on manual operations by intake or RCM teams\n\n### **👋 Our Backstory**\n\nAt Pelago (formerly, Quit Genius W18), the leading digital clinic for substance addictions, Ash and Lucas joined forces. Ash is an MD, with a background in digital health, hospital administration, and Health IT strategy consulting. As CTO and employee one at Pelago, Lucas possesses unparalleled expertise in resolving behavioral health integration challenges. With a track record of successfully integrating with 100+ employers, including major players like Evernorth and a Fortune 10 customer, Lucas's firsthand experience and Y Combinator background have been instrumental in securing over $80M in investment funding from seed to Series-B.\n\n**Our ask**\n\nIntroduce us to **behavioral health providers** (digital or hybrid) in your network. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\nConnect us to your health plan or payers (e.g. Humana, Cigna, Aetna) that you’re working with. [Click here](mailto:hello@soharhealth.com?subject=Connecting%20to%20Ash%20and%20Lucas%20at%20Sohar%20Health)\n\n**Interested in hearing more?** Feel free to book a meeting [here](https://calendly.com/d/z7j-8n2-w2v/30mins-meeting-with-sohar-health)\n\n![uploaded image](/media/?type=post&id=72772&key=user_uploads/1376962/95f7f9e8-53b0-4bd6-9bd1-750d07fb0561)\n\n", "url": "https://www.ycombinator.com/launches/Ivk-sohar-health-ai-powered-eligibility-checks-vobs-and-insurance-discovery-for-behavioral-health", "votes": 20, "created_at": "2023-07-05T14:57:13.166Z" } ] }, { "id": 28869, "name": "Health Harbor", "slug": "health-harbor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/707952491ce6520207a9fc042912ea6190fc34a5.png", "website": "https://healthharbor.co/", "all_locations": "San Francisco, CA, USA", "long_description": "We use generative AI to call insurance on behalf of healthcare clinics. We save clinics up to 40 hours of calls every week over existing outsourced human solutions. \r\n\r\nCompared to the existing solutions for benefits verifications: \r\n- We're faster -- by default, we have a turnaround of 24 hours compared to typically a 3 day turnaround for competitors\r\n- We can reach more payors -- as long as they have a phone line, we can support calling them for benefits. There's quite a few payors in both medical and dental (e.g. Seledent) that have yet to offer a digital retrieval of benefits\r\n- We're reliable and consistent -- there is no person-to-person variation or question skipping when it comes to working with software\r\n", "one_liner": "Using generative AI to call insurance for healthcare clinics", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1689790147, "tags": [ "SaaS", "B2B", "Healthcare IT", "Billing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/health-harbor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/health-harbor.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/health-harbor", "x_url": "https://twitter.com/healthharbor_us", "fb_url": "https://www.facebook.com/profile.php?id=100095138463726", "cb_url": "https://www.crunchbase.com/organization/health-harbor", "github_url": "https://github.com/Health-Harbor", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/707952491ce6520207a9fc042912ea6190fc34a5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/40a121bafc0e5a167f94bf0b024b94c3c290bf7b.png" ], "primary_partner": null, "founders": [ { "user_id": 437540, "full_name": "Alan Liu", "title": "Founder/CEO", "founder_bio": "Alan is the CEO and co-founder of Health Harbor. As a technical CEO, He has five years of previous software experience in AI at Meta and Nuro. While building a hearing aid for himself at Yale, his experiences with medical insurance shaped his conviction to improve the billing process for doctors and patients. Outside of Health Harbor, Alan is an aspiring sushi chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alanliu96", "x_url": "https://twitter.com/AlanLiu96", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cec51b2fd22ea307b50a347e18c115a3842f48a0.jpg" } ], "jobs": [ { "id": 72444, "title": "Founding Engineer . ", "url": "https://www.ycombinator.com/companies/health-harbor/jobs/n3sggls-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Python" ] } ], "news": [], "launches": [ { "id": 73410, "title": "Health Harbor - Automated billing for private medical practices", "tagline": "Never call insurance again.", "body": "### **Hey everyone! We are Nathan, Alan, and Gloria from Health Harbor.**\n\n**TL;DR:** Private practices spend hours every week talking with insurance trying to determine fee coverage so patients don't end up with a surprise bill. Health Harbor uses AI to automate billing for private practices by having an AI call insurance on their behalf. Check us out: [https://healthharbor.co](https://healthharbor.co/)\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/392081ad-49f0-4086-a585-4d1df7292820)\n\n### **The Problem**\n\nImagine spending almost 100 million hours on the phone with medical insurance. Trust us, medical providers can. Over 230,000 private practices in the US spend more than 8 hours every week sitting on the line with insurance trying to determine the amount insurance will cover.\n\n### **The Solution**\n\nHealth Harbor relieves doctors’ offices from needing to call insurance. Instead they can simply submit requests through Health Harbor’s HIPAA certified portal.\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/81fa57fd-de79-4030-9fe3-8e8d20fa99ee)\n\nFurthermore, by enabling admin to quickly request coverage on specific procedure codes, Health Harbor allows physicians to perform more procedures in fewer visits thus compressing revenue cycles from 4 weeks to 1 week.\n\n### **The Team**\n\nWe are Nathan, Alan and Gloria. Nathan comes from an early stage startup, Liminal Sciences, that went public with Hyperfine four years after its inception where he aligned the team on product strategy and built the product as a designer and software engineer. In Alan’s past life, he wrote software for AI systems like speaker identification at Meta’s Portal and prediction of occluded objects at Nuro. As for Gloria, she planned multi-year growth trajectories while at Bain and the Gates Foundation. \n\n### **The Ask**\n\n1. Customer Intros: Please reach out to us at [founders@healthharbor.co](mailto:founders@healthharbor.co)\n * If you currently call health insurance,\n * If you personally know anyone who complains about calling insurance (including dentists and any other private practice physicians),\n * If you know anyone in private equity firms that manage private practices.\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/health-harbor/)", "url": "https://www.ycombinator.com/launches/J62-health-harbor-automated-billing-for-private-medical-practices", "votes": 29, "created_at": "2023-07-26T15:36:05.000Z" } ] }, { "id": 28890, "name": "Decoda Health", "slug": "decoda-health", "former_names": [ "Heal Financial" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b1efd47e85f38279cafba940ec0988913d113.png", "website": "https://decodahealth.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Med spas, wellness clinics, and aesthetics practices run on 5-10 disconnected tools — separate systems for scheduling, charting, payments, patient communication, and more. It's expensive, error-prone, and holds teams back.\r\n\r\nDecoda is the all-in-one EMR and practice management platform purpose-built for elective care. AI is woven into every workflow — from an AI front desk that answers calls and books patients 24/7, to an ambient scribe that generates clinical notes in real time, to automated patient follow-ups that keep calendars full. Scheduling, payments, memberships, inventory, and analytics all live in one place.\r\n\r\nLive in 150+ clinics, processing $100M+ in annual transactions.", "one_liner": "The all-in-one EMR built for med spas and elective care", "team_size": 19, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1689972321, "tags": [ "SaaS", "Digital Health", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/decoda-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/decoda-health.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/decoda-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b1efd47e85f38279cafba940ec0988913d113.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/91c41579d8359ec2ccb518fc12dbbc3663494aa1.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1279796, "full_name": "Daniyal Afzal", "title": "Founder", "founder_bio": "Cofounder @ Decoda Health (YC S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/daniyalafzal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c5240e8e3feb87f9d68a9df8c83c9f8b0b8f763.jpg" }, { "user_id": 1383058, "full_name": "Kevin Cheng", "title": "Founder", "founder_bio": "Co-founder of Decoda Health (S23)", "is_active": true, "linkedin_url": "https://linkedin.com/in/kevincheng97", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67c471e5b015c8ffc97b7cde0d6868c7d867c4d.jpg" } ], "jobs": [ { "id": 89576, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/decoda-health/jobs/WfbqYan-customer-success-manager", "location": "Toronto Office", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 96026, "title": "Decoda Health: the operating system for elective care", "tagline": "Where healthcare operations become intelligent.", "body": "Clinics that rely on point solutions and disconnected tools create missed opportunities, fragmented patient experiences, and endless admin work.\n\n**Decoda Health** **is the operating system for modern elective-care clinics.** Our AI agents answer calls, take notes, keep calendars full, and handle patient follow-ups - all on top of a unified platform for scheduling, payments, memberships, prescriptions, labs, and analytics.\n\nWe’re live in **150+ clinics**, processing **$100M+** annually, saving **$7M** in admin time, and generating **$20M+** in new revenue for our customers. We have grown more than ten-fold in the last 6 months.\n\nhttps://youtu.be/Ala-OpQMy4M\n\n### Problem\n\nEvery clinic has knowledge - how patients move through the workflow, which tasks matter most, what providers need, what's already been done, what's still pending.\n\nBut that knowledge lives in **ten different tools** and the minds of staff who come and go.\n\nSo every day feels like starting from scratch:\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/be2f277d-ce92-4e4d-91f7-bcca78422717)\n\nThis isn't a workflow issue. **It's a missing foundation.**\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/65d5dc7a-69ef-430c-a89f-5d4376294f1a)\n\nFirst, we built the **full suite of modules every clinic needs**: scheduling, intake & consent forms, unified communications, charting & documentation, inventory & checkout, patient messaging, and reporting & analytics.\n\nThen we layered on intelligent agents that carry deep context and perform tasks like **answering calls, taking notes, and keeping calendars full.**\n\nBecause these agents and modules live inside the same platform, every workflow becomes connected and actionable.\n\nThe more a clinic uses Decoda, the **smarter** and **more streamlined** it becomes. This creates a **compounding advantage:** each clinic builds more longitudinal data, each agent becomes smarter with greater context, and each workflow grows increasingly deterministic.\n\nOver time, the system becomes not just a tool, but a **trusted co-pilot for running the clinic**.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/ee1b49ba-10ab-4e46-9e86-f9d152c5c10f)\n\n### Why Now\n\n**AI gives tiny teams massive leverage.** As a team of <10 people, we’ve already out-shipped incumbents with 500-person orgs. This moment, and our focus on clinic workflows, creates a rare window to build a category-defining platform.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/f3e45a34-b6a8-4599-89bc-0606823b3237)\n\n### Starting with elective care\n\nMore people want to live longer, happier, and healthier and are willing to spend on caring for themselves.\n\nWe are starting with a focus on **wellness, longevity, anti-aging, medical aesthetics, dermatology,** and **cosmetic surgery practices.**\n\nThis segment of care is growing fast and remains underserved by incumbent solutions.\n\n### Ask\n\nIf you know someone operating an elective care clinic or any talented folks that want to join us on our mission in any capacity (engineering, sales, ops, etc.), we’d love to hear from you.\n\n✉️ email us at [founders@decodahealth.com](mailto:founders@decodahealth.com)!\n\n💼 share our careers page with your talented friends: [link here.](https://app.dover.com/jobs/decodahealth)", "url": "https://www.ycombinator.com/launches/Oyo-decoda-health-the-operating-system-for-elective-care", "votes": 17, "created_at": "2025-12-08T21:56:43.573Z" } ] }, { "id": 28935, "name": "Fortuna Health", "slug": "fortuna-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0f365057ccae10a0cfaf730387d65ea55aede28.png", "website": "https://fortunahealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Fortuna is a one-stop solution that helps consumers navigate Medicaid end-to-end from eligibility and enrollment to renewing coverage. \r\n\r\nOur platform creates value as the middleware layer for the $800B Medicaid ecosystem.", "one_liner": "TurboTax for Medicaid", "team_size": 29, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1691019691, "tags": [ "Health Tech", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fortuna-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fortuna-health.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fortuna-health/", "x_url": "https://twitter.com/hifortunahealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0f365057ccae10a0cfaf730387d65ea55aede28.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1361784, "full_name": "Cydney Kim", "title": "Founder", "founder_bio": "Healthcare operator (Halo Dx, McKinsey, Bridgewater)", "is_active": true, "linkedin_url": "https://linkedin.com/in/cyd-kim", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b35a7b5f3eb100234e5081fe2991dd56a160521f.jpg" }, { "user_id": 1400986, "full_name": "Nikita Singareddy", "title": "Founder", "founder_bio": "Building the TurboTax for 90M Americans on Medicaid. Did things at Truepill, a16z, RRE Ventures, and Oscar Health.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikita-m-s", "x_url": "https://twitter.com/singareddynm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021b17d5948b302cfde2fb657ec4b3a600507ea5.jpg" }, { "user_id": 1402830, "full_name": "Ben Wesner", "title": "Founder", "founder_bio": "First SWE @ Juniper (W21), Bloomberg, Brown '18", "is_active": true, "linkedin_url": "https://linkedin.com/in/benjaminwesner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a65af312767dcb1154bac3caba29e40bc9de5907.jpg" } ], "jobs": [ { "id": 71017, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/6jkbCBj-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 78966, "title": "Operations Lead", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/9qAiMUW-operations-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$160K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 83002, "title": "Product Operations Associate", "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/bmGIxsh-product-operations-associate", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Medicaid navigator Fortuna Health inks $4M seed joined by John Legend", "url": "https://www.axios.com/pro/health-tech-deals/2023/11/15/medicaid-navigator-fortuna-health-raises-4m-seed-john-legend-a16z", "date": "Nov 15, 2023" } ], "launches": [ { "id": 73742, "title": "Fortuna Health: TurboTax for Medicaid", "tagline": "We simplify Medicaid application filing and renewals", "body": "**TLDR** - Fortuna Health is TurboTax for Medicaid. We simplify Medicaid application filing so consumers can easily check eligibility, enroll, and renew their coverage.\n\n**The Problem**\n\nToday, \\~90M Americans on Medicaid face acute challenges with eligibility screenings and (re)enrollment. It takes hours for consumers to navigate glitchy websites and long, paper Medicaid forms.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/ebdc0992-91cf-4f63-b15d-9fd3402c314b)\n\nThe experience is so poor that procedural reasons (e.g., form errors, missing a notice in the mail) account for a staggering 75% of disenrollments. This is terrible for consumers who lose coverage and produces huge downstream consequences: Medicaid health plans (MCOs) lose over $30B from churn, providers suffer $13B in lost patient revenue and uncompensated care, and states waste $8B on administrative costs.\n\nMore than ever before, Medicaid enrollment demands immediate attention given the ongoing Medicaid redetermination crisis putting 15M enrollees at risk of losing coverage in the next 18 months.\\\n**\\\nOur Solution**\n\nFortuna solves the $57B enrollment problem with a consumer product (beautiful, simple state Medicaid filing experience just like Turbotax is for taxes). By making products that consumers want to use, we unlock immense value for providers and health plans.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/a3771849-1883-4036-8992-88cec6086161)\n\nOur unique approach provides consumers with a seamless web experience, eliminating the need to interact with state portals. We offer 60-second eligibility checks and 5-minute (re)enrollment in 7 languages. To accelerate completing applications, we allow consumers to connect accounts that auto-populate their filings, provide a \"virtual\" mailbox for state and health plan communications, and send text notifications for urgent actions.\n\nProviders and health plans have had limited real-time visibility into enrollment and revenue risk until now. The Fortuna platform allows providers and health plans to seamlessly monitor Medicaid enrollment status and consumer next steps, receive real-time updates on contact information, and benefit from comprehensive analytics.\n\nOur vision is to transform the enrollment experience and expand our products to become the consumer-facing digital infrastructure that powers the $800B+ Medicaid ecosystem.\n\n**The Team**\n\nWe’re all former operators and engineers with experience scaling early and mid-stage healthcare startups that covered Medicaid.\n\n* Cydney is a former management consultant who helped scale a health tech company from seed to Series C as General Manager and VP of Operations and Strategy. 30% of the company’s patients were Medicaid beneficiaries.\n* Ben was the first software engineer at behavioral health revenue cycle startup Juniper (YC W21) and helped grow the engineering team to 12. Almost 40% of children in the US are covered under Medicaid/CHIP.\n* Nikita started her career at Oscar Health and spent the past 2 years at Truepill (YC S17) building pharmacy solutions for community health centers and FQHCs that served Medicaid patients. She was born on public assistance.\n\n**The Ask**\n\nKnow any health plans, hospitals, and provider organizations with large Medicaid populations? Please reach out to [**founders@fortunahealth.com**](mailto:founders@fortunahealth.com)", "url": "https://www.ycombinator.com/launches/JBO-fortuna-health-turbotax-for-medicaid", "votes": 101, "created_at": "2023-08-02T23:55:00.179Z" } ] }, { "id": 29085, "name": "Quill Bills", "slug": "quill-bills", "former_names": [ "Quill AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad90ff298c085246c8c2af38a348e6f2c92f338.png", "website": "https://quillbills.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quill Bills is a medical billing company that works with healthcare providers to significantly lower billing costs and recover denied claims.\r\nOur platform performs much of a biller's job autonomously, and we sell this platform to private practice doctors and medical MSOs.", "one_liner": "AI-Powered Medical Billing", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1685991991, "tags": [ "Healthcare", "Health Insurance", "Healthcare IT", "Billing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/quill-bills", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/quill-bills.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quill-bills/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ad90ff298c085246c8c2af38a348e6f2c92f338.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1188332, "full_name": "Gabriel Banks", "title": "Founder", "founder_bio": "Love to touch computer all day", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-banks-662548230", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b17765d0a8064075ceb47a40da059e4adc6c369d.jpg" }, { "user_id": 820106, "full_name": "Kartik Donepudi", "title": "Founder", "founder_bio": "Quill AI, Computer Science and Economics at MIT", "is_active": true, "linkedin_url": "https://linkedin.com/in/kartik-donepudi-763a22167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de8cc3eaeaf9cc0ebd46f5e6cc32ccd26e02df0d.jpg" } ], "jobs": [ { "id": 90846, "title": "Founding Business Development", "url": "https://www.ycombinator.com/companies/quill-bills/jobs/cPBK2hG-founding-business-development", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 93732, "title": "Quill Bills: AI billing that makes doctors more money!", "tagline": "Transparent, Fast, and Affordable Medical Billing Agency", "body": "\n**The Problem**\n\nRight now, every doctor in the US pays for human billers. Some of them outsource it to a billing agency which charges them anywhere from 2% to _10% of total revenue_. (that’s crazy!)\n\nThat on its own is expensive, but there’s also another problem: Since processing bills is expensive, up to **30%** of all claim revenue is denied by health insurance companies, and no follow up is made by the biller to fight it.\n\n**The Solution**\n\nDoctors in the US right now are being charged up to 10% on their bottom line and losing up to 30% of their top line revenue.\n\nWell, we’ve figured out how to fix this problem, by making it a lot cheaper to do billing. We’ve figured out how to do it (nearly) all with AI. We have a team of human billers to do manual checks, but they can process orders of magnitude more claims than a biller doing it manually (which is all of them right now).\n\nThis means we can not only charge lower fees, but also we have more bandwidth to fight that 30% denial rate! So we typically end up making doctors more money.\n\nWe’ve got decades of billing experience on our team, and are already deployed with clinics and hospitals in the US processing millions of dollars in annual claim revenue.\n\n**Offer for Doctors**\n\nIf you or somebody you know is a doctor, we can help them make up to 30% more money every year!\n\nWe have a limited offer for the next 10 clinics/hospitals we bring on: **We’ll do your billing as a white-glove service for a flat 1.8% fee (+ no onboarding fee)**. This is way below market price. Just tell them to ask for the YC discount.\n\n**Links**\n\nhttps://quillbills.com\n\n**Asks**\n\nPlease send us any doctors you know! Doctors who own their own practices are our happiest customers.\n\n![uploaded image](/media/?type=post&id=93732&key=user_uploads/89898/609faa41-c675-45cf-b5f1-c7cbf7c57fd8)\n\n", "url": "https://www.ycombinator.com/launches/ONo-quill-bills-ai-billing-that-makes-doctors-more-money", "votes": 24, "created_at": "2025-09-10T00:32:22.403Z" }, { "id": 81746, "title": "Quill AI: A 10x more efficient equity research platform", "tagline": "Turn PDFs into spreadsheets, export data with citations, and get up to speed on earnings performance within seconds of release", "body": "**tl;dr** We are using LLMs to speed up the equity research process by taking the pain out of working with financial filings.\n\n**Problem 1:** **Pulling tables from SEC filings**\n\nThe de-facto current solution is a tool called BamSEC. However, there are a couple of problems with it: a) They don’t provide citation links to their numbers, and b) To merge data from previous filings, you can only do it one table at a time.\n\nQuill solves both these problems. Take a look:\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/a0ad69cc-e3d1-44e3-be24-11b74b4c7147)\n\n**Problem 2: PDFs → Excel is painful**\n\nThis flow normally involves a lot of number-by-number copy-pasting. Quill lets you skip that and turn any PDF into a spreadsheet (extracting all reported numbers and tables) – with citation links for each number.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/e60269ce-c233-48e5-a639-b4bf03e5d709)\n\n**Problem 3: Earnings season is extremely hectic**\n\nEvery quarter, companies report earnings and investors have to quickly digest the performance, guidance, and Q&A sections of the earnings calls for each of their 20-40 portfolio companies before forming an investment opinion.\n\nQuill lets you digest these sections in an instant. Instead of reading through the raw calls, you get a dashboard that explains the main reported performance and guidance metrics, the key points in management’s commentary, and the key concerns of Wall Street analysts.\n\nFaster workflows mean you can cover more companies per quarter.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/bf27d425-881e-4da3-8c2d-373a4eff5244)\n\nWe’ve been working hard on these features and would love to get the word out! If you know people who work in:\n\n* Hedge funds\n* Investment banks\n* Equity research\n\nWe’d love to talk to them!\n\nOur website is \n\nReach out to us at [founders@quillai.com](mailto:founders@quillai.com)\n\nBest,\n\nGabriel and Kartik", "url": "https://www.ycombinator.com/launches/LGU-quill-ai-a-10x-more-efficient-equity-research-platform", "votes": 27, "created_at": "2024-06-25T21:56:44.151Z" }, { "id": 72889, "title": "Quill AI: The financial research assistant", "tagline": "Meet Quill, the tool that makes financial research a breeze.", "body": "**TLDR:** We let investors a) extract information from SEC filings just by asking, and b) screen stocks much faster. If you have friends in finance who want to get more sleep this week, send them to [quillai.co](http://quillai.co)!\n\nQuill AI lets you search through SEC filings and screen stocks on command. And we don’t just summarize the information - we point you right to the source, making it easy to audit the results.\n\n**The Problem(s)**\n\n* Investors spend hours reading SEC filings looking for key bits of information to use in their models/reports.\n* Existing AI info extraction tools don’t cite sources very well - making them difficult to audit. They also aren’t tuned for financial filings.\n* Current stock screeners require an annoying filtering process to produce meaningful lists of investment opportunities.\n\n**The Solution**\n\n* Quill’s web app, which lets you search for key pieces of information across financial documents in Q&A format.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/c53e2745-e899-4fbe-90c3-341f984067b5)\n\n* Quill’s natural language screener, which lets you ask for stocks matching your desired criteria.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/dec91582-cca8-4c34-ab17-bec911fe7fba)\n\n**Our Ask**\n\n* If you’re an investor or you work in finance, give Quill a shot at [quillai.com](http://quillai.com) – we’re giving users a 7-day free trial. \n* Try the tool. If you think your whole team could benefit from it, send us a message at [founders@quillai.com](mailto:founders@quillai.com) and we’ll get you up and running.\n\nThank you!", "url": "https://www.ycombinator.com/launches/Ixd-quill-ai-the-financial-research-assistant", "votes": 125, "created_at": "2023-07-09T19:28:15.075Z" } ] }, { "id": 29088, "name": "Cair Health", "slug": "cair-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/174cf352bddd34701bef4a958ce1e21e7d49de3d.png", "website": "https://www.cairhealth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cair Health empowers billing companies, care management platforms, EHRs, offshore BPOs, provider groups, and specialty pharmacies with AI-driven RCM solutions. Our suite of AI Agents helps RCM teams streamline operations, reduce manual costs, and improve consistency—while maintaining full control over core workflows. Cair is trusted by 100+ practices across the country — including iconic VC-backed digital health startups, leading specialty EHRs, and some of the largest billing companies and BPOs\r\n\r\nBacked by Y Combinator, Foundation Capital, Soma Capital, Translink Capital & many others.. ", "one_liner": "AI Agents for Healthcare RCM", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1690913334, "tags": [ "Health Tech", "Healthcare", "Health Insurance", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cair-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cair-health.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cair-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/174cf352bddd34701bef4a958ce1e21e7d49de3d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1370983, "full_name": "Shehbaz Virk", "title": "Founder", "founder_bio": "Co-Founder @ Cair Health,\nPublic Health & Biochemistry @ UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shehbazvirk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71748884bfbe1b858958bd71a621295ef2b29331.jpg" }, { "user_id": 1371723, "full_name": "Ishan Balakrishnan", "title": "Founder", "founder_bio": "Co-Founder @ Cair Health,\nComp Sci & Business @ UC Berkeley", "is_active": true, "linkedin_url": "https://linkedin.com/in/ishanbalakrishnan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d50db33e360227615622d12c07eba5a88bdbb7c.jpg" } ], "jobs": [ { "id": 97972, "title": "Founding Customer Success Engineer", "url": "https://www.ycombinator.com/companies/cair-health/jobs/XuQEfj7-founding-customer-success-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Git", "MySQL", "PostgreSQL", "Python", "React", "Docker", "AI Agents" ] }, { "id": 98751, "title": "Founding Forward Deployed Engineer ", "url": "https://www.ycombinator.com/companies/cair-health/jobs/Ye8X3VN-founding-forward-deployed-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $130K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98752, "title": "Software Engineer (SWE)", "url": "https://www.ycombinator.com/companies/cair-health/jobs/3oPirfm-software-engineer-swe", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $150K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 29122, "name": "Wattson Health", "slug": "wattson-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4ba866a12de96b32ebc06498d98a4722760e680.png", "website": "https://www.wattsonhealth.com", "all_locations": "", "long_description": "Wattson Health’s AI agents connect with customers over the phone and SMS. Give us your busiest tasks and we’ll train our agents to take them off your hands.", "one_liner": "AI Voice and SMS Agents for Healthcare", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1690480394, "tags": [ "SaaS", "Healthcare", "Healthcare IT", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wattson-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/wattson-health.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/wattson-health/", "x_url": "https://twitter.com/wattsonhealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4ba866a12de96b32ebc06498d98a4722760e680.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ac98a0a1f434b9f74b46ca851a2d64bfddc3ef9f.png" ], "primary_partner": null, "founders": [ { "user_id": 337920, "full_name": "Justin Spitz", "title": "Founder", "founder_bio": "Justin is currently the CEO & co-founder of Wattson Health (YC S23). Previous work includes Head of Ops @ Maximus, Strategy @ Google, & Analytics @ Dropbox. Outside the office, he's an avid swimmer, basketball fanatic, fantasy football commissioner, points & miles enthusiast, & spicy food addict.", "is_active": true, "linkedin_url": "https://linkedin.com/in/justin-spitz", "x_url": "https://twitter.com/jspitz_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4436851fd22cc5c1543813ae3e6f229f5345ebdc.jpg" }, { "user_id": 10489, "full_name": "Cleophus Robinson IV", "title": "Founder", "founder_bio": "Cleo is currently the CTO & co-founder of Wattson Health (YC S23). Previously worked at YouTube driving engagement and satisfaction metrics for key emerging markets, shorts and gen z. At L3 he created a new driver framework for controlling devices on naval vessels. Outside of work, he enjoys being competitive in sports and games; traveling, cooking, concerts and creating music.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cleor41", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10ac724420b0aafcb73bbef39a747217867eea2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73874, "title": "Wattson Health 💊 Pharmacy automation to increase RX throughput & accuracy", "tagline": "Connecting fragmented pharmacy systems & automating high error-prone tasks", "body": "**TL;DR:** [**Wattson Health**](https://www.wattsonhealth.com/)**’s automation platform integrates with pharmacies' existing systems and enables them to fill prescriptions error-free in a matter of seconds vs. hours or even days.**\n\n### **THE PROBLEM**\n\nMedication errors cost the healthcare industry $40 billion each year, the largest contributor being the manual processes employed by pharmacies. Software development within the pharmacy space has lagged behind other industries. Pharmacies are often saddled with old technology systems that don’t talk to each other. The result is a lot of duct-taped manual solutions in order to fill prescriptions. Entire teams are needed to be hired for data entry and review, costing pharmacies time and money.\n\n### **THE SOLUTION**\n\n[Wattson Health](https://www.wattsonhealth.com/)’s automation platform integrates seamlessly with existing pharmacy software to manage the “prescription lifecycle.”\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/71c08cbd-6fc0-4463-accf-f8e2da0cdb35)\n\n* As orders come in, we parse, process, and apply any **auto-curated rules** necessary to progress orders from A to Z in a matter of seconds vs. hours or even days.\n* We run in the background and provide **real-time analytics** and reports.\n* Our **bi-directional APIs** finally provide patients, doctors, and clinics with transparency into the mysterious fulfillment process.\n\n### **THE TEAM**\n\n![uploaded image](/media/?type=post&id=73874&key=user_uploads/337920/6c8b1f3f-f71d-4440-918d-d3b836399f5e)\n\nWe both lived down the hall from each other in our freshman dorm at Stanford back in 2010. Much of our early friendship focused on competitive Super Smash Bros. games (on N64 of course), so much so that we built a robust tracking app to record our matches. Over the last 13 years, we’ve remained close friends and have loved hacking on projects together.\n\n[@Justin Spitz](https://www.linkedin.com/in/justin-spitz/) spent the last 3 years as the first employee of Maximus, a telemedicine startup, scaling it from $0 to $11M in ARR. He saw first-hand how difficult it was to work with pharmacies and built internal tools to streamline operations.\n\n[@Cleophus Robinson IV](https://www.linkedin.com/in/cleor41/) spent the last 6 years at Google & YouTube designing infrastructure and pipelines to facilitate data propagation. He is an expert at building AI/ML models to influence user behavior.\n\nWith Justin’s experience working with pharmacies and Cleo’s background in data pipelines and infrastructure, we’re excited to double down on our skill sets to bring Wattson Health to life.\n\n### **THE ASK**\n\nIf you fall into one of the categories below or know anyone that does, **please reach out**, **introduce us**, or [request a demo](https://www.wattsonhealth.com/) directly on [our website](https://www.wattsonhealth.com/):\n\n* Pharmacy owners, pharmacists, pharmacy techs, etc.\n* EMR/EHR (Electronic Medical/Health Record) companies\n* Telemedicine companies / online clinics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/wattson-health/) & [𝕏 (Twitter)](https://twitter.com/WattsonHealth) to stay updated – thank you!", "url": "https://www.ycombinator.com/launches/JDW-wattson-health-pharmacy-automation-to-increase-rx-throughput-accuracy", "votes": 113, "created_at": "2023-08-07T18:16:22.231Z" } ] }, { "id": 29159, "name": "Healthtech 1", "slug": "healthtech-1", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.png", "website": "https://www.healthtech1.uk/", "all_locations": "London, England, United Kingdom", "long_description": "Healthtech-1 builds clinical AI that navigates patients to the right place, first time. Today we automate eligibility checks, triage and appointment booking for 1,600+ NHS GP practices.\r\n\r\nTomorrow, every healthcare appointment - GP, pharmacy, dentist, physio - is instantly bookable on bookable.health.\r\n\r\nWhy now?\r\nThe NHS has come a long way, but access to it hasn't. Patient satisfaction is at a 25-year low. Automating access to care - eligibility, triage, booking - is how we reverse the trend.", "one_liner": "Navigating patients to the right place, first time.", "team_size": 40, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1688443537, "tags": [ "Health Tech", "Workflow Automation", "Digital Health", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "We exist to make every NHS appointment [Bookable](https://bookable.health/). Presently only 1% of NHS appointments are easily accessible to patients. For good reason, barriers exist to hide these behind triage forms and long phone line queues. We think we can solve this." } ], "url": "https://www.ycombinator.com/companies/healthtech-1", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/healthtech-1.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/healthtech-1/", "x_url": "https://twitter.com/healthtech_1", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 860223, "full_name": "Raj Paul", "title": "Founder", "founder_bio": "NHS Clinical Entrepreneur who grew up running around my parents primary care practice. Ex-management consultant who delivered intelligent automation projects for global banks. \n\nSometimes I teach people how to ski ⛷️", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajkumarkohli", "x_url": "https://twitter.com/rajpkohli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b635c75d727092621d084dc3cbf9ec18be23acd.jpg" }, { "user_id": 857509, "full_name": "Peter Huang", "title": "Founder", "founder_bio": "Cofounder and Head of Product of Healthtech 1. \n\nBritish Born Chinese based in London. A deep generalist with skills in product, growth & engineering. Most recently a Web Engineer @ Monzo.\n\nI'm building a health tech automation company with a best friend from school! This is our 2nd company together, having found our true Ikigai in helping a national health system thrive. There isn't a convincing plan to fill the huge staffing gap in the NHS. This is where our automation platform fits in.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/petejayhuang", "x_url": "https://twitter.com/PeteJayHuang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25f1e64672b7b8c5c7da03dfad2622231912baec.jpg" } ], "jobs": [ { "id": 90068, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/UZRAH1c-account-executive", "location": "Stratford, East London", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "£45K - £90K GBP", "equity_range": "0.01% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90074, "title": "Senior Product Engineer", "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/rVuqHps-senior-product-engineer", "location": "Stratford, East London", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £130K GBP", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Healthtech-1 raises $3.5m to automate admin in doctors surgeries ", "url": "https://sifted.eu/articles/healthtech-1-raise-monzo-alumni-news", "date": "Sep 18, 2024" }, { "title": "12 hospital tech startups to watch, according to VCs | Sifted", "url": "https://sifted.eu/articles/12-hospital-tech-startups-to-watch-according-to-vcs#:~:text=Gilmartin%2C%20investor%2C%20AlbionVC-,Healthtech%2D1%20%E2%80%94%20UK,-Healthtech%2D1%20automates", "date": "Feb 16, 2024" } ], "launches": [ { "id": 73529, "title": "Healthtech-1 💙 Making free healthcare sustainable", "tagline": "by automating repetitive processes, starting with the first touchpoint: new patient registrations", "body": "**Healthcare systems across the world spend $1.1 trillion\\* on repetitive processes completed manually by healthcare staff.** [Healthtech-1](https://www.healthtech1.uk/) automates repetitive processes for healthcare systems. We’re starting with the world’s most famous: the NHS. We’re already live in over 100 primary care practices, and we’re hiring.\n\n---\n\n### **Problem**\n\nIn Britain, from the moment you first open your eyes, to the moment you finally close them, you’re cared for by the NHS free at the point of delivery _\\- it’s a beautiful thing_ 💙\n\nThe NHS is a safety net for the most vulnerable people in British society, and Europe’s biggest employer. This year, as the NHS turns 75, **9/10 people agree that healthcare should be free of charge,** and more than 8/10 of agree that the NHS makes them proud to be British.\n\nBut at the current rate, the NHS won’t see its 100th birthday. Post-pandemic, Britain's most treasured institution is in crisis. **Patient satisfaction is at a 25-year low and 1/7 of staff are in the process of leaving, citing mental and physical exhaustion.**\n\nLonger lives and an ageing population are steadily increasing the complexity and pressure of providing healthcare. **The increasing demand is unsustainable unless the cost of providing care can be massively reduced.**\n\nThe largest single cost is the staff. The NHS pays a $93bn wage bill, for 470k administrators, 740k clinicians, and 50k managers\\*\\*. All of whom spend an eye-watering amount of time on manual repetitive processes: data entry, summarisation, filing, scheduling..._the list goes on._\n\nThe current plan is “hire more staff”, but recruitment isn’t the answer.\n\n### **Solution**\n\nHealthtech-1 uses the latest technology to automate repetitive processes for healthcare organisations. The first automation launched 18 months ago for new patient registrations is now live in over 100 NHS Primary Care practices across England saving over 1000 hours of staff time per week.\n\nSo far we’ve added the equivalent of 25 full-time staff to the NHS providing a 9.8/10 ⭐️ experience to patients, for **half the cost.** That’s how you make free healthcare sustainable.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/c5a83841-8d79-42f0-9689-0a48dee0e89e)\n\nBased out of Raj's parents' primary care practice, the Healthtech-1 team is systematically automating the repetitive processes they experience every day.\n\n### **Team**\n\nIt started as two school friends, now **we’re a team of 5 engineers, 3 doctors, and an accountant.**\n\n[**@Peter Huang**](https://www.linkedin.com/in/petejayhuang/) is an ex-Monzo software engineer that has built products that millions of people love. [**@Raj Kohli**](https://www.linkedin.com/in/rajkumarkohli/) is an NHS Clinical Entrepreneur who has delivered intelligent automation for global banks. After starting our first company, we jumped into healthcare to support Raj’s parents during the pandemic.\n\nWe’re here at YC to redirect the world’s best talent to one of the world’s greatest opportunities for good: universal healthcare.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/7d4df318-8951-4d3d-9137-23a006c6d574)\n\n### **Ask**\n\nIf you know any operators or engineers interested in making something people need, please intro them to [raj@healthtech1.uk](mailto:raj@healthtech1.uk).\n\n\\-\n\n**References:**\n\n_\\*$9 trillion spent on healthcare (_[_WHO, 2022_](https://www.who.int/publications/i/item/9789240064911)_). Admin spend varies between 10-30% depending on the geography (_[_Health Affairs, 2022)_](https://www.healthaffairs.org/do/10.1377/hpb20220909.830296/)_. Let’s assume 12%._\n\n_Global Healthcare Admin spend: $9tr \\*12% = $1.08tr_\n\n_\\*\\*$8.4bn GP practices, $84.6bn in hospital. (_[_The Kings Fund, 2023_](https://www.kingsfund.org.uk/audio-video/key-facts-figures-nhs)_)_\n\n_NHS total staff salaries: 8.4bn + 84.6bn = $93bn._", "url": "https://www.ycombinator.com/launches/J7x-healthtech-1-making-free-healthcare-sustainable", "votes": 267, "created_at": "2023-07-28T06:01:12.000Z" } ] }, { "id": 29288, "name": "Arini", "slug": "arini", "former_names": [ "HireAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdcb5cc5f47d4cd58aab24de81261482dd66020a.png", "website": "https://www.arini.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Arini is building the single platform to run all healthcare operations.\r\n\r\nHealthcare has spent the last decade consolidating, but operations are still fragmented, manual, and expensive. A large group runs dozens of disconnected systems for scheduling, billing, insurance, payables, and reporting, with people moving data between them by phone, fax, and spreadsheet.\r\n\r\n\r\nWe partner with some of the largest healthcare enterprises in the country through a Forward Deployed Engineering model. Engineers sit with the customer, find their biggest operational problems, and ship systems that solve them end to end. The best of that work becomes the platform that scales across enterprises.\r\n\r\nOur goal is to deliver the operating leverage healthcare consolidation has promised for decades, so providers can focus on patient care. We obsess over improving patient outcomes, and we are building the platform to run all operations for a $620B industry.", "one_liner": "The single platform to run all healthcare operations", "team_size": 17, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1708365250, "tags": [ "Health Tech", "Dental", "Call Center", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arini", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/arini.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ariniai", "x_url": "https://twitter.com/usearini", "fb_url": "https://www.facebook.com/people/Arini", "cb_url": "https://www.crunchbase.com/organization/arini", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdcb5cc5f47d4cd58aab24de81261482dd66020a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 868778, "full_name": "Abdul Jamjoom", "title": "Founder/CEO", "founder_bio": "Co-founder @ Arini | CS from Harvard in 2019 | Prev Threads (Acquired by Shopify)", "is_active": true, "linkedin_url": "https://linkedin.com/in/abduljamjoom", "x_url": "https://twitter.com/abduljamjoom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ba22f8dde4354da501655b7f5aa3105de20803a.jpg" }, { "user_id": 864285, "full_name": "Rami Rustom", "title": "Founder/CTO", "founder_bio": "Building AI receptionists for dentists at Arini. Previously Eng + AI @ Threads. MIT CS 2021.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ramirustom", "x_url": "https://twitter.com/rami_rustom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfa8c7602086cc357a359d1c490f681e95969dfe.jpg" } ], "jobs": [ { "id": 113666, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/arini/jobs/UatrDy5-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $250K", "equity_range": "0.10% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "Prototyping", "AI Agents" ] }, { "id": 113668, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/arini/jobs/yBH4HQK-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.10% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 78760, "title": "🦜 Arini: The AI receptionist for dentists", "tagline": "Our AI agent answers phone calls and schedules appointments for patients.", "body": "Hey everyone! We’re [Abdul Jamjoom](https://www.linkedin.com/in/abduljamjoom/) and [Rami Rustom](https://www.linkedin.com/in/ramirustom/) from [Arini](https://www.arini.ai).\n\n**tl;dr**\n\nArini is an AI receptionist for dental clinics that answers phone calls, and schedules appointments. The dental front desk is stretched thin, spending 80% of their time on the phone, yet still missing 35% of calls. Missed calls = missed revenue. Arini answers 100% of calls, 24/7.\n\n## **Problem**\n\nHealthcare in the US is facing a massive staffing shortage, especially since COVID. It’s hard for clinics to find, train, and retain admin staff. As a result, the front desk is overworked and understaffed.\n\nThe dental front desk spends 6 hours a day on the phone but still misses 35% of calls. Each missed call is missed revenue.\n\nEven though 80% of dental clinics have online scheduling forms, most appointments are still booked over the phone. Even if you book online, they’re going to call you back (go ahead and try it).\n\n## **Solution**\n\nWe built an AI voice agent that answers phone calls and books appointments. We plug into the existing software that dental clinics use and populate appointments on their calendar. We can also answer questions about insurance, billing, and anything else the patient needs.\n\nWe help practices increase revenue by booking more appointments. We also help them reduce their operating cost since they need to recruit, train, and retain fewer receptionists.\n\n\n\n## **The team and how we landed on dental**\n\nWe met in high school in Jordan, co-founded a start-up 2 years ago, and are always hacking together. Abdul studied CS at Harvard and was an early engineer at Threads, an enterprise communication tool, where he led search. Rami studied CS at MIT and joined Threads a year ago, and we both led Threads’ AI team, where we automated customer support, document feedback, notification triaging, and more.\n\nWe landed on the dental space after going door-to-door to dentists, shadowing them, and experiencing first-hand the challenges they faced. It was clear that the front desk was a bottleneck for increasing bookings, even though dentists in the US spend $7B a year on front desk staffing.\n\n![uploaded image](/media/?type=post&id=78760&key=user_uploads/868778/669b3926-305a-4cc9-92d2-adee47bf0991)\n\n## **How you can help**\n\n1. If you have a cleaning coming up, ask your dentist to [**book a demo with us**](https://calendly.com/d/47d-9z6-g2d/ai-receptionist-demo)\n2. If you know any multi-location dental groups or DSOs, send them our way\n\nYou can reach us at [**founders@arini.ai**](mailto:founders@arini.ai)**.**", "url": "https://www.ycombinator.com/launches/KUK-arini-the-ai-receptionist-for-dentists", "votes": 98, "created_at": "2024-02-26T18:44:16.762Z" } ] }, { "id": 29302, "name": "Verse Therapy", "slug": "verse-therapy", "former_names": [ "hona.ai", "Hona", "hona.ai", "Hona" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c158717bbd2ea38a74a8b1945cd6ba497a0e5f3.png", "website": "https://versetherapy.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Verse Therapy, we're dedicated to making quality speech therapy accessible for everyone by empowering speech-language pathologists (SLPs) to launch and grow their own independent practices. We help therapists focus on what they do best—providing compassionate, personalized care—by taking care of the administrative tasks that often lead to burnout. Through thoughtful marketing and partnerships with care organizations like rehab centers, we connect SLPs with individuals who need their expertise. Our AI-enabled back office streamlines insurance processing, scheduling, and documentation, reducing non-therapy overhead. We're now live in 10 states with over 35 dedicated therapists and are in-network with leading insurance providers, making it easier for clients to receive the support they need.", "one_liner": "Connecting All Ages with Speech Language Pathologists", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1706111757, "tags": [ "Consumer Health Services", "Digital Health" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "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": null, "url": "https://www.ycombinator.com/companies/verse-therapy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/verse-therapy.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/verse-therapy", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c158717bbd2ea38a74a8b1945cd6ba497a0e5f3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 771214, "full_name": "Adam Steinle", "title": "Founder/CEO", "founder_bio": "Former biomedical engineer, Goldman banker, and big tech PM going back to my roots as a founder in healthcare. Over 4 years at Facebook, I launched many successful products for Content Moderation, Community Growth, Gaming, and Creator Monetization.", "is_active": true, "linkedin_url": "https://linkedin.com/in/adamsteinle", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/611dc2a7347cfaf64219ba06f9d5035cbf3d05e0.jpg" }, { "user_id": 1362116, "full_name": "Danielle Yoesep", "title": "Founder/COO", "founder_bio": "Grew up interested in science, always thinking I'd become a doctor (immigrant parents lol) but realized in university that practicing medicine actually wasn't the way I wanted to make my impact. Stayed in science, wanted to be on the cutting edge, did some research developing platform technologies that enable the synthesis of novel molecules. I helped spin a company out based on the work and built it up from (mostly) scratch. We ended up getting acquired, and now I'm doing it all over again :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/djyoesep", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fca8dce6e7db777839d982bc833e19bbd39cc844.jpg" }, { "user_id": 1377034, "full_name": "Shuying Zhang", "title": "Founder/CTO", "founder_bio": "I have a mixed background of biomedical engineering and software development. Prior to founding Hona.ai, I was a software engineer at Google and Amazon. My past work was centered on Document AI, knowledge graph and cloud infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhang-shuying/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4a8115abe611ab823fbe0e547c30fa96cf3680c.jpg" } ], "jobs": [], "news": [ { "title": "How Y Combinator’s founder-matching service helped medical records AI startup Hona land $3M | TechCrunch", "url": "https://techcrunch.com/2024/05/03/y-combinator-founder-matching-tool-hona-medical-ai-startup/", "date": "May 03, 2024" }, { "title": "Particle Health and Hona Partner to Empower Providers with Longitudinal Data for Informed Clinical Decisions", "url": "https://finance.yahoo.com/news/particle-health-hona-partner-empower-150000610.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAATcvIZIaVwKsT87NNFCpfhMbiztCBMu-T67DlpEZBP_O6-qbokr9i376mD0BM2lPrl_q2fkhxBRA8R-rSGYhHGSPeXaYGYWmE3r66sg4HpLztSZnjOZadgZhluQTY9UuVhI9tAnhJIQpsgtnTylPAr43KqO3AvetguEEZtyblyi", "date": "Nov 07, 2023" } ], "launches": [ { "id": 84650, "title": "Verse Therapy: Connecting all ages with Speech Language Pathologists", "tagline": "We help Speech Language Pathologists launch and grow independent practices.", "body": "![uploaded image](/media/?type=post&id=84650&key=user_uploads/771214/1517ce7a-7a2e-4067-9933-3e2f73ddc647)\n\n## **TL;DR**\n\nAt [Verse Therapy](https://versetherapy.com/), we're committed to making quality speech therapy accessible to everyone by empowering speech-language pathologists (SLPs) to launch and grow their own independent practices. We help therapists focus on what they do best—providing compassionate, personalized care—by taking care of the administrative tasks that often lead to burnout. Through targeted marketing and partnerships with care organizations like rehab centers, we connect SLPs with individuals who need their expertise. Our AI-enabled back-office streamlines insurance processing, scheduling, and documentation, reducing non-therapy overhead. We're proud to be live in 10 states with over 35 dedicated therapists and are in-network with leading insurance providers, making it easier for clients to receive the support they need.\n\n## **The Problem**\n\nAccess to quality speech therapy is more challenging than ever. Many individuals, from children experiencing learning setbacks due to COVID-19 disruptions to seniors facing age-related speech issues, are struggling to get the support they need. Demand is soaring, and the U.S. Bureau of Labor Statistics projects a 21% growth in employment for SLPs from 2021 to 2031. However, the number of practicing therapists isn't growing quickly enough to meet this need, leading to long wait times and underserved communities.\n\nAt the same time, many dedicated SLPs are facing burnout from overwhelming administrative tasks like insurance paperwork, scheduling, and documentation, coupled with lower pay in traditional settings. This not only affects their well-being but also worsens the shortage, as some may reduce their workload or leave the profession entirely. According to a survey by the American Speech-Language-Hearing Association, 28% of SLPs are interested in private practice to gain more control over their work and income. There is an urgent need for a compassionate solution that supports both those seeking therapy and the professionals providing it.\n\n## **The Solution**\n\nVerse Therapy is bridging this gap by empowering speech-language pathologists to launch and grow their own independent practices with ease. We enable therapists to focus on delivering empathetic, high-quality care by handling the administrative burdens that often lead to burnout. Through our targeted marketing and partnerships with care organizations like rehab centers, schools, and medical facilities, we connect SLPs with individuals who need their specialized support.\n\n![uploaded image](/media/?type=post&id=84650&key=user_uploads/771214/037b088b-ff27-474d-8928-e51e95ec154d)\n\nOur AI-enabled back office simplifies insurance processing, scheduling, and documentation, allowing therapists to spend more time with their clients and less on paperwork. By alleviating these stresses, we enhance the well-being of our therapists and help retain more professionals in the field, ultimately expanding access to speech therapy services.\n\nWe're proud to be live in 10 states with over 35 dedicated therapists and to be in-network with leading insurance providers. Together, we're making quality speech therapy more accessible and transforming lives through improved communication.\n\n## **Asks**\n\nWe're eager to expand our partnerships with organizations seeking dedicated speech-language pathologists in California, Florida, Oregon, Washington, Illinois, Connecticut, Arizona, Virginia, and Colorado. If you have connections with early intervention programs, rehab centers, children's hospitals, or similar organizations in these states, we'd greatly appreciate an introduction. Together, we can make a meaningful difference in the lives of those who need our support.\n\nAlso, if you or someone you know is looking for speech therapy services in any of these states, please visit us at [versetherapy.com](https://www.versetherapy.com/) to book an appointment. We're here to empower you on your journey toward better communication.", "url": "https://www.ycombinator.com/launches/M1K-verse-therapy-connecting-all-ages-with-speech-language-pathologists", "votes": 51, "created_at": "2024-10-09T20:41:26.316Z" }, { "id": 77965, "title": "Hona: Less time with charts. More connected patients.", "tagline": "Hona gathers and converts medical histories into actionable insights", "body": "# Healthcare’s Growing Information Overload Problem\n\n[Recent regulations](https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca) have enabled electronic health record systems to communicate more effectively. However, healthcare providers are not adequately equipped to manage the substantial influx of unstructured data resulting from this enhanced interoperability.\n\nThe average patient record is now the equivalent of half the size of Shakespeare's 'Hamlet,' and providers often see more than 20 patients per day. For each patient, these providers find themselves contacting other organizations to obtain the patient’s complete history. Then, they must sift through numerous pages of raw PDFs to locate critical, relevant information — similar to finding a needle in a haystack. This process creates an enormous cognitive burden, leading to burnout, missed revenue opportunities, and, most critically, uninformed care.\n\n# [**Hona**](https://www.hona.ai) is transforming the complexity of healthcare data into something radically simple\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/1541c2f1-a4d9-42f3-ba7b-7ee0cef242b9)\n\nHona integrates with electronic health record systems to collect and condense medical histories, enabling providers to fully understand their patients by finding data previously lost in mountains of charts. It searches nationwide for patient data based on providers' schedules, condensing notes, lab results, and more into specialty-specific clinical summaries with links to original sources. Hona then converts its clinical summaries into value-based care metrics, risk scores, and quality measures for practice-level insights.\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/f984dca9-3ba5-45dd-8e5a-41d4d7a3f707)\n\n# Founding Team\n\n![uploaded image](/media/?type=post&id=77965&key=user_uploads/771214/3db96f3c-16b4-4b17-bee8-128322c0a003)\n\nHona was founded by ex-biomedical engineers seeking to return to their roots. Drawing from our experience in early-stage startups and launching AI products for millions of users in big tech, we ventured back into healthcare. We are addressing a critical issue: the complexity of healthcare data, which has not just hurt providers within our families and networks, but also us in our roles as patients.\n\n# Call to Action\n\nIf you know anyone in a provider organization who is looking to make sense of their data to increase revenue and automate visit prep, please reach out to [tech@hona.ai](mailto:tech@hona.ai).\n\n# Resources\n\nSite: \n\nPress: ", "url": "https://www.ycombinator.com/launches/KHV-hona-less-time-with-charts-more-connected-patients", "votes": 538, "created_at": "2024-01-30T16:03:25.118Z" } ] }, { "id": 29306, "name": "Copper Health", "slug": "copper-health", "former_names": [ "Ratio", "Airfront" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf12ad49bf970a28db9ee2deb03ef7af054ac90.png", "website": "https://www.copperhealth.co/", "all_locations": "San Francisco, CA, USA", "long_description": "All-in-one RTM platform designed for physical therapy and powered by AI", "one_liner": "Modern patient engagement and remote therapeutic monitoring platform", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1710023994, "tags": [ "Health Tech", "Telehealth", "B2B", "Digital Health", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": null, "url": "https://www.ycombinator.com/companies/copper-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/copper-health.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/copperhealth/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbf12ad49bf970a28db9ee2deb03ef7af054ac90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1285307, "full_name": "Joanne Wang", "title": "Founder/CEO", "founder_bio": "Cofounder of Epsilab (F26). 2nd time YC founder - previously built Copper Health (W24). ", "is_active": true, "linkedin_url": "https://linkedin.com/in/joanne-wang-156ba9154", "x_url": "https://x.com/joannewang_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fe6e2dc1c69e7f2236bd873498e0dfd4c1a6280.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79353, "title": "⭐️ Airfront - AI-first email platform with built-in automations", "tagline": "Let your inbox do work for you!", "body": "**TL;DR:** [Airfront](https://airfront.com/) uses AI to automate manual tasks directly from your inbox, and it takes <5 mins to set up. Our platform understands the context behind each email and enables smart workflows such as responding to customers and syncing data. [Join our waitlist](https://www.airfront.com/) or [schedule a demo](https://cal.com/joannewang/airfront-meeting) to see how it works.\n\n\\---\n\nHey all! We’re [Joanne](https://www.linkedin.com/in/joannewang19/) and [Tommy](https://www.linkedin.com/in/thomasguo/), and we’re building Airfront to let your inbox do the work for you.\n\n![uploaded image](/media/?type=post&id=79353&key=user_uploads/1285307/9283d135-ac0f-4587-aa6a-d1e07adca022)\n\nAirfront is an AI-first email platform with built-in automations. We enable smart workflows that go beyond what tools like Zapier offer. With Airfront, you can create automations such as “synthesize the key use cases that buyers mentioned and sync them to Salesforce” or “extract answers from surveys and summarize commonalities”.\n\n📩 **Problem**\n\n* Many people do **manual, repetitive tasks** based on their emails\n* Our inboxes contain lots of insights, but this **valuable data is hard to surface**\n\n**✨ Solution**\n\n* Airfront uses AI to form a **contextual understanding** of emails such as who the email is from and what the email is about\n* Our platform enables **granular workflows** directly from your inbox using natural language. No coding needed.\n\n👨‍💻 [**How it Works**](https://youtu.be/np1jI6whMyo?feature=shared)\n\n👋 **Meet Joanne & Tommy**\n\nWe are both graduates of NYU, and we both grew up in families of small business owners which inspired us to become entrepreneurs ourselves.\n\n* [Tommy](https://www.linkedin.com/in/thomasguo/) studied Computer Science and joined Stripe as the first new grad hire in NYC. As a senior software engineer at Stripe, Tommy worked on search infrastructure and led a team to redesign Stripe's API to accept multiple currencies.\n* [Joanne](https://www.linkedin.com/in/joannewang19/) studied Computing & Data Science and Finance and worked in Tech M&A investment banking at Evercore and subsequently B2B software investing at General Atlantic.\n\n**🚀 Try Airfront**\n\n* Join our waitlist or schedule a quick demo if you’re curious about using Airfront at your company\n* Email us at [founders@airfront.com](mailto:founders@airfront.com) with any thoughts or suggestions. We’d love to hear about what you want to automate for your inbox and any other feedback!", "url": "https://www.ycombinator.com/launches/Kdt-airfront-ai-first-email-platform-with-built-in-automations", "votes": 100, "created_at": "2024-03-13T14:26:26.749Z" } ] }, { "id": 29339, "name": "Clarion", "slug": "clarion", "former_names": [ "Anaphero" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27d3a079eaa460304bc6a95a74e40b6bab55e8ad.png", "website": "https://clarionhealth.com", "all_locations": "New York City, NY, USA", "long_description": "Clarion is building the most advanced AI communication layer for healthcare. Our AI agents handle the overwhelming volume of calls and messages that clinics face daily—from scheduling to billing to prescription refills—freeing staff to focus on patient care. We're an in-person company based in New York.\r\n\r\nToday, clinics miss 30-40% of inbound calls due to staffing shortages. We're solving this by automating complex workflows end-to-end, already serving tens of thousands of patients monthly across virtual care companies, health systems, and a $5B health insurance company.\r\n\r\nWe've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. \r\n\r\nOur founders bring both clinical and technical expertise—our CEO Ryan is a Stanford/Harvard-trained physician who was on the founding teams of Two Chairs and Ophelia, while our CTO Jeffrey built voice AI at Amazon Alexa and led AI/ML teams at Salesforce.\r\n\r\nJoin us as we transform healthcare communication—creating a future where patients get faster resolutions and providers reclaim time for what matters most.", "one_liner": "The AI communication layer for healthcare", "team_size": 16, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1709616757, "tags": [ "Health Tech", "Digital Health", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clarion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/clarion.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clarionhealthai/", "x_url": "https://x.com/clarionhealthai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27d3a079eaa460304bc6a95a74e40b6bab55e8ad.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1353400, "full_name": "Ryan Gallagher", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO @ Clarion. Stanford/Harvard-trained medical doctor. Previously on the founding team of Two Chairs and Ophelia (YC W20).", "is_active": true, "linkedin_url": "https://linkedin.com/in/ryangallaghermd", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20002554a4eb04d4b7117c580f80dac859f648c2.jpg" }, { "user_id": 1389002, "full_name": "Jeffrey Lamothe", "title": "Founder", "founder_bio": "Co-Founder and CTO @ Clarion. Previously worked on voice AI at Amazon Alexa and as Lead Software Engineer at Salesforce.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lamothesde", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f49dfae3d12ddf36377b0d62eaec92db8643572b.jpg" } ], "jobs": [ { "id": 78588, "title": "Strategy & Operations Lead", "url": "https://www.ycombinator.com/companies/clarion/jobs/148yKCJ-strategy-operations-lead", "location": "NYC Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79671, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/clarion/jobs/aek6nGl-account-executive", "location": "NYC Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79767, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/clarion/jobs/zKdSWz2-marketing-lead", "location": "NYC Office", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 80061, "title": "Founding Product Designer", "url": "https://www.ycombinator.com/companies/clarion/jobs/v4LQo1Z-founding-product-designer", "location": "NYC Office", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85436, "title": "Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/clarion/jobs/2uCSNH4-senior-full-stack-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Kubernetes", "Node.js", "React", "TypeScript" ] }, { "id": 89423, "title": "Growth Associate", "url": "https://www.ycombinator.com/companies/clarion/jobs/vGemS3Y-growth-associate", "location": "NYC Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89536, "title": "Talent Acquisition Lead", "url": "https://www.ycombinator.com/companies/clarion/jobs/sijXHTU-talent-acquisition-lead", "location": "NYC Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89650, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/clarion/jobs/3aPIKhk-customer-success-manager", "location": "NYC Office", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90850, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/clarion/jobs/ddjiotO-forward-deployed-engineer", "location": "NYC Office", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 79057, "title": "Anaphero: Automating patient-facing tasks. Happier clinicians, better care.", "tagline": "We help hospitals overcome staffing shortages with AI agents that complete patient-facing tasks.", "body": "# Confronting Healthcare's Staffing Crisis\n\nThe American healthcare system faces a daunting challenge: [clinician burnout](https://www.advisory.com/daily-briefing/2024/01/31/physician-burnout) has soared to its highest levels since the pandemic, and [aging baby boomers](https://knowledge-leader.colliers.com/shawn-janus/demand-for-healthcare-grows-as-baby-boomers-age/) are ballooning the demand for healthcare services. This strain is leading to a [critical shortfall](https://fortune.com/2024/02/14/america-shortage-primary-care-doctors-work-ai-physician-burnout-crisis/) in clinicians, jeopardizing patient care quality. Hospitals are now grappling with not only how to retain their workforce but also how to ensure patient loyalty in an increasingly competitive landscape.\n\nThe heart of the issue lies in the nature of clinicians' workloads, which include a significant amount of administrative, rules-based tasks ripe for automation. As a result, administrative automation has emerged as the [top strategic priority](https://d2d1vpa6c3q6ni.cloudfront.net/2024-executive-survey-results.png) for hospitals and insurers in 2024.\n\n### **Anaphero is building goal-oriented AI agents to expand clinical capacity**\n\n[Anaphero](https://www.anaphero.com/) addresses healthcare staffing shortages by automating routine but essential tasks. We enable health systems to deploy custom AI agents that interact with patients through text, voice, or video, emulating human clinicians. Our AI agents can answer questions, collect information, and interface with electronic health records. We've built our platform with safety at its core, incorporating proactive bias assessments, continuous risk monitoring, and clinician oversight to maintain high standards of care.\n\nOur clinical agents can safely do a lot of the work that keeps healthcare running smoothly. This not only increases clinical capacity but also allows doctors and nurses to concentrate on what they find most rewarding—making clinical decisions and counseling patients. The outcome is a workforce of more satisfied clinicians, improved care quality, and more loyal patients.\n\n### **Our Founders' Journey**\n\n[Ryan Gallagher, MD](https://www.linkedin.com/in/ryangallaghermd/) (CEO) is a Stanford/Harvard-trained physician and was on the founding team at Two Chairs and Ophelia. He helped both companies scale to $100M+ valuations. [Jeffrey Lamothe](https://www.linkedin.com/in/jeffreylamothe/) (CTO) led enterprise AI + ML projects at Amazon Alexa, Salesforce, and Citi.\n\n### **Join Our Mission**\n\nIf you're connected to hospitals, medical clinics, or digital health companies interested in automating patient interactions using AI, we'd love to hear from you at [founders@anaphero.com](mailto:founders@anaphero.com).", "url": "https://www.ycombinator.com/launches/KZ7-anaphero-automating-patient-facing-tasks-happier-clinicians-better-care", "votes": 94, "created_at": "2024-03-05T05:38:35.388Z" } ] }, { "id": 29342, "name": "InQuery", "slug": "inquery-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6af70add968020435b7e6619f1daf7399205f64b.png", "website": "https://www.inquery.ai/", "all_locations": "New York City, NY, USA", "long_description": "InQuery is a fully-automated medical record review platform that indexes, labels, and summarizes patient medical records so that physicians and attorneys can understand patient journeys at a glance. \r\n\r\nOur proprietary technology reasons about each record to surface key insights that could make or break your medical legal case.", "one_liner": "Intelligent Medical Record Reviews", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1704737122, "tags": [ "Documents", "Insurance", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inquery-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/inquery-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inquery-data/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6af70add968020435b7e6619f1daf7399205f64b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 414961, "full_name": "Erick Enriquez", "title": "Founder", "founder_bio": "CEO @ InQuery. Previously @ Stanford CS & DoorDash Data Infra.", "is_active": true, "linkedin_url": "https://linkedin.com/in/erick-enriquez", "x_url": "https://twitter.com/generick_ez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dee73e7c6f7b92b5e3fbeec61374601575fd159f.jpg" }, { "user_id": 1660601, "full_name": "Khalil Miri", "title": "Founder/CPO", "founder_bio": "Cofounder and CTO @InQuery. Background: Quant Trader at DRW and Citadel, Stanford CS grad, former Math Olympiad medalist", "is_active": true, "linkedin_url": "https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bd7907022abc4fbccd7fd0589b63c617fdc2aed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78918, "title": "InQuery - AI-powered Claims Management System", "tagline": "InQuery eliminates tedious back office claims admin work like data capture, document management, and claims research so that adjusters can focus on providing world-class service to claimants.", "body": "\\*\\*TLDR: InQuery helps carriers, state funds, self-insured employers and TPAs automate tedious parts of the claims processing workflow so that claims can get closed faster and litigated less.\\*\\*\\\n\\\nHey everyone, we’re [Erick](https://linkedin.com/in/erick-enriquez) and [Khalil](https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV) and we’re building [InQuery](https://www.inquery.ai/). \\\n\\\n**🔍 Problem**\\\nThe insurance industry is facing a labor shortage that is creating a negative spiral for staffing. As carriers struggle to hire, existing talent is getting overloaded and under-trained, causing severe retention issues at most large carriers. This talent squeeze means that per-case performance quality drops, leading claimants to experience confusion and frustration, which inevitably drives litigation rates upwards as they seek representation and support. As a result, average claim costs are rising, squeezing carriers expense ratios at the same time as inflation causes ballooning medical costs. \n\nStill, claims adjusters like my sister spend most of their day transcribing telephone calls, navigating large sets of semi-structured policies, and mapping data from large and complicated medical documents to relatively structured schemas in their existing CMS.\n\n**🦾 Our Solution**\n\nAt InQuery, our mission is to develop AI agents tailored for the insurance industry, beginning with with claims handling. These agents will enable claims handlers to concentrate on high-impact settlement strategies, effective negotiations, and casualty remediation processes. The result? Reduced litigation rates, improved loss ratios, and enhanced satisfaction for both employees and claimants.\n\nBut our vision doesn’t stop there. As we perfect our AI solutions for claims handling, we’re poised to expand into other insurance-specific workflows, bringing efficiency and innovation to every corner of the industry. Our AI agents will seamlessly integrate with your current team, taking over repetitive tasks and collaborating with human staff where their expertise is needed most. Join us in redefining insurance processes and empowering your workforce to achieve more.\\\n\\\n\\*\\*👋 About us:\\*\\*\\\nBefore starting InQuery, we’ve been best friends since living in the same dorm during our freshman year studying Computer Science at Stanford.\n\n![](https://lh7-us.googleusercontent.com/krqSs7LIAO18m20ptblmaz74UhYwXwAMIHwY22ZLG4orANZ2GRjnjk9U_mmiBdOVwR2KlSvdH0StCYadIwufhj2T3V8cv7o5q3BHT04hsA_F_aMm-uN6mHA_-OdQJG8axjRNS3tZVuqGZg7vAhMJkcE)\n\n\\\n**Our Ask**\\\nIf you or anyone you know has experienced the pain of handling claim caseloads of upwards 100+ active cases, we’d love to chat. We’re looking for intros to carriers, self-insured employers, and TPAs. \\\n\\\nEven if our product isn’t the right fit for you yet, we’d love to learn about what’s working well and what’s broken at your organization and share what we’ve learned from talking to dozens of carriers ourselves.", "url": "https://www.ycombinator.com/launches/KWs-inquery-ai-powered-claims-management-system", "votes": 38, "created_at": "2024-02-29T21:17:22.340Z" } ] }, { "id": 29348, "name": "Parallel", "slug": "parallel", "former_names": [ "Kiosk" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49003875f2b0e7d5e2b5e10ad67e7b43f3aeb43f.png", "website": "https://www.beparallel.com/?utm_source=ycombinator&utm_medium=directory", "all_locations": "Paris, Île-de-France, France", "long_description": "We build AI agents that automate healthcare admin workflows. Our agents navigate legacy hospital software like humans (using mouse and keyboard) and automate end-to-end workflows (starting with medical coding), freeing medical professionals from manual tasks.", "one_liner": "AI agents for healthcare admin", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1707957478, "tags": [ "Healthcare", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "France", "Europe" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parallel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/parallel.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/beparallel/", "x_url": "https://x.com/beparallelhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49003875f2b0e7d5e2b5e10ad67e7b43f3aeb43f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/48f6d6c67ea0308afc30b324ec2500db905ef832.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1623166, "full_name": "Paul Lafforgue", "title": "Founder/CEO", "founder_bio": "Paul graduated from Ecole polytechnique and HEC. With experience at Meta and McKinsey, he developed deep expertise in AI and its applications in complex industries.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paullafforgue", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fccc1404ed0b557a4a96d71432e5b0f8fd64fe9a.jpg" } ], "jobs": [], "news": [ { "title": "Parallel raises $20M to scale AI solutions for hospital administration - Tech.eu", "url": "https://tech.eu/2026/03/19/parallel-raises-20m-to-scale-ai-solutions-for-hospital-administration/", "date": "Mar 18, 2026" } ], "launches": [] }, { "id": 29386, "name": "Andy AI", "slug": "andy-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9de74b7308c61d7e8f1bdea5348c7c96f22a7f7.png", "website": "https://with-andy.com", "all_locations": "San Francisco, CA, USA", "long_description": "Andy is AI software that completes documentation for nurses doing home visits. Our software saves $8B a year; Tiantian was previously a PM at Google’s healthcare business and Max was a staff engineer on the health team at Apple. \r\n\r\nAndy benefits nurses and the agencies that employ them. Agencies that use Andy see up to 45% more detailed charts, 2x greater nurse productivity, and timely submission (no more billing delays!) With Andy, clinicians get their evenings back. \r\n\r\nHome health is the fastest growing segment of healthcare, doubling to $251B by 2031. Combined with recent nursing shortages and burnout, we’re seeing not just urgency, but excitement and joy, around adopting AI for home health. ", "one_liner": "Faster clinical documentation for home health nurses", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1707354939, "tags": [ "SaaS", "Health Tech", "B2B", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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": null, "url": "https://www.ycombinator.com/companies/andy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/andy-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/with-andy", "x_url": "", "fb_url": "https://www.facebook.com/people/Andy-AI/61556463293700/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9de74b7308c61d7e8f1bdea5348c7c96f22a7f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 932678, "full_name": "Tiantian Zha", "title": "Founder/CEO", "founder_bio": "Tiantian is the CEO and co-founder of Andy AI. Princeton CS >> Google APM >> Verily (Google Life Sciences). She was the first PM on Debug, an AI and robotics moonshot to eliminate Dengue fever, which affects up to 400M people each year. The product is commercially launched and achieves up to 80% reduction in disease.", "is_active": true, "linkedin_url": "https://linkedin.com/in/tiantianzha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4812a4ba7ec2ac587bfba073915db5bdef1fb497.jpg" } ], "jobs": [ { "id": 71798, "title": "Founding Engineer - Healthcare AI", "url": "https://www.ycombinator.com/companies/andy-ai/jobs/lrsiSTP-founding-engineer-healthcare-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 72360, "title": "Founding Engineer - Full Stack", "url": "https://www.ycombinator.com/companies/andy-ai/jobs/TXZ6eTG-founding-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 78586, "title": "🧑‍⚕️ Andy AI - Faster clinical documentation for home health nurses", "tagline": "Agencies see timely & accurate documentation and happier nurses.", "body": "Hi everyone, we’re [Tiantian](https://linkedin.com/in/tiantianzha) and [Max](https://linkedin.com/in/akhterov), the founders of [Andy](https://with-andy.com).\n\n**Andy completes clinical documentation for nurses doing home health visits**.\n\n### **What is home health?**\n\nSkilled nursing in the home is a booming business, on track to double to $250B in by 2031. Better outcomes, lower costs, and aligned with patient preferences: it’s no surprise large insurers are scooping up home health providers.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/56616808-3fe2-4b7d-8bdb-b670e0ed70e2)\n\n### **The problem: too much charting**\n\nOn the ground, however, we’re seeing widespread burnout among nurses. The worst part of the job is documentation, which can take 90 minutes for a single patient and costs agencies $8B per year. Agencies that employ these nurses struggle to submit _high-quality_ documentation in a _timely_ manner, which is hurting their top line.\n\n### **The solution: an AI scribe**\n\nAndy is an AI-powered ambient scribe designed specifically for home health nurses. Nurses record their visits using their Andy app and receive a chart completed by Andy straight into their EHR. With Andy, the 90-minute documentation process is now a 15-minute review.\n\n### **Meet Team Andy**\n\nWe’re a healthcare & AI team focused on pressing public health challenges. America’s rapidly aging population needs home health. We’re building tools to restore joy & connection to the profession.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/325091cd-9334-41c7-a3c0-551987559a77)\n\n* [**Tiantian Zha**](https://linkedin.com/in/tiantianzha) previously led an AI and robotics project at Google Life Sciences to eliminate mosquito-borne diseases, a public health challenge affecting 400M people each year.\n* [**Max Akhterov**](https://linkedin.com/in/akhterov) previously built health AI algorithms for the Apple Watch, including the passive detection of atrial fibrillation which is running on 50M devices.\n\n### **How you can help**\n\nDo you know any home health operators? Please share [Andy](https://with-andy.com) to help them get accurate documentation done on time!", "url": "https://www.ycombinator.com/launches/KRW-andy-ai-faster-clinical-documentation-for-home-health-nurses", "votes": 53, "created_at": "2024-02-21T03:19:30.366Z" } ] }, { "id": 29418, "name": "Sample", "slug": "sample", "former_names": [ "Neem" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e0d3f747777064eae6051c75654887bc5cb6e33.png", "website": "https://samplehc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Sample Healthcare transforms healthcare operations from a burden into a competitive advantage. \r\n\r\nOur users build copilots in Sample to support processes like patient intake and reimbursement. These copilots don't just speed up work – they capture valuable ground-truth data that make our models smarter over time.\r\n\r\nWe work with leading national providers, already have data from 76% of US oncology clinics, and our network is rapidly expanding across the nation.", "one_liner": "Flexible systems for clinical reasoning.", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1721245489, "tags": [ "Health Tech", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sample", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/sample.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/101766275", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e0d3f747777064eae6051c75654887bc5cb6e33.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 454665, "full_name": "Ankit Ranjan", "title": "Founder/CEO", "founder_bio": "Engineer", "is_active": true, "linkedin_url": "https://linkedin.com/in/ranjanankit", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49f357d1289ad2d750585b672e464bdc8c6a6bbc.jpg" }, { "user_id": 240069, "full_name": "Aash Jain", "title": "Founder/CTO", "founder_bio": "Previously at Retool", "is_active": true, "linkedin_url": "https://linkedin.com/in/aashish-jain-8ab164156", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d1a2976da60e219921f345b8a51482ca82f832d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29463, "name": "Penciled", "slug": "penciled", "former_names": [ "Somn" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adb6dfa703e0e7dadb39281bc09e1fff97605614.png", "website": "https://penciled.com", "all_locations": "San Francisco, CA, USA", "long_description": "Penciled (W24) is an AI front office assistant for physical therapy. Penciled's AI assistant schedules out plans of care, sends reminders and processes last-minute cancellations, and fills openings with an automated waitlist. Penciled books thousands of appointments for physical therapists each month and integrates directly into EHRs like WebPT.", "one_liner": "AI front office assistant for physical therapy", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1708052275, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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": null, "url": "https://www.ycombinator.com/companies/penciled", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/penciled.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/76534709", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adb6dfa703e0e7dadb39281bc09e1fff97605614.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1338732, "full_name": "Shawn Shivdat", "title": "Founder/CEO", "founder_bio": "CEO & Co-founder of Penciled. Studied Computational Neuroscience at Harvard. Previously built patient outcome prediction software at MGH, built and launched a jobs board product at a health tech startup, and founded a global nonprofit organization.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shawn-shivdat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7a91753b6cb0c31a4d5d139404b1b1e5aa37ca5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78925, "title": "🤖 Somn - AI receptionists for healthcare clinics", "tagline": "We help clinics answer calls, book appointments, and call patients using AI voice assistants that sound human.", "body": "### **The Problem**\n\nClinics do a lot of phone calls— booking appointments, following up after a visit, reminding patients of a visit, verifying insurance, calling referring providers, etc. These calls prevent staff from interacting with patients, building relationships with families, and completing clinical documentation.\n\nIn specialties like physical therapy, some clinicians just let the phone ring out if they’re seeing a patient, resulting in unhappy patients and lost revenue.\n\n### **The Solution**\n\nOur AI assistants handle any phone call that involves a repetitive task, so clinicians can focus on helping patients.\n\nWe don’t ask clinics to rip out any technology to use our agents. That means we integrate with fax machines, EHRs, and existing phone systems.\n\n### **Our Background**\n\n[**Shawn Shivdat**](https://linkedin.com/in/shawn-shivdat) (CEO) grew up helping his mom in her private practice and built software at Massachusetts General Hospital while studying Computational Neuroscience at Harvard.\n\n### **💥 The Deal**\n\nFor clinics, startups, and systems who work with us before Demo Day, we’ll integrate with existing systems (including EHRs) for free.\n\nGet in touch with me at [shawn@penciled.com](mailto:shawn@somnapp.com)", "url": "https://www.ycombinator.com/launches/KWz-somn-ai-receptionists-for-healthcare-clinics", "votes": 100, "created_at": "2024-03-01T01:18:24.876Z" } ] }, { "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": false, "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": null, "url": "https://www.ycombinator.com/companies/sagecare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sagecare.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sagecare-ai", "x_url": "", "fb_url": "https://www.facebook.com/HomeCareNearMe/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8391ef28b31f763fdf577fc8631f259459023eb8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1865044, "full_name": "Jon Levinson", "title": "Founder/CEO", "founder_bio": "Supercharging home care operations with AI at Sage Care. Previously product leader at Uber. Tufts 2013.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonlevinson1/", "x_url": "https://x.com/levinsonjon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cef75f29ab94e8713551046472dd4d0a06c80b6.jpg" }, { "user_id": 1545228, "full_name": "Ian Gillis", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Clara", "is_active": true, "linkedin_url": "https://linkedin.com/in/ian-gillis-3a503837", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54d98c343e8a7e3b1fa57e274db0abd221f9286.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82720, "title": "🧓 Clara - Better home care for seniors", "tagline": "Marketplace software for discovering, hiring, and managing in-home caregivers", "body": "# **TL;DR**\n\nClara is a home care marketplace that makes it easy for families to find and employ their ideal caregiver.\n\nOur platform uses AI to match customers with the best possible caregiver and automates compliance with built-in payroll, tax, and insurance support, all for 15-25% less than a home care agency.\n\nClara is currently live in the SF Bay Area. Sign up today at [**clarahomecare.com**](https://www.clarahomecare.com/)\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/7f7548dc-0c0c-4f41-b967-1b48178fb055)\n\n---\n\n# _____________________\n\n# **The Problems with Home Care**\n\n**_🧑‍⚕️🌊  More Americans than ever before need care_**\n\n* **Silver Tsunami -** 11,000 Americans will turn 65 every day from now through 2027. 69% of those will require long-term care, for an average of 3 years (HHS). \\~88% of them would prefer to age at home rather than in a facility (AARP)\n* **Care work is the fastest growing profession in the U.S.**, projected to add >1M jobs by 2028. Job growth in this sector is greater than the second and third U.S. occupations with the most job growth combined (BLS)\n\n**_💸  Care costs for families are high and not correlated with quality_**\n\n* Non-medical care is **not covered by Medicare** or standard health insurance plans\n* The average out-of-pocket cost of a home health aide in SF today is [**$102,960/year**](https://www.genworth.com/aging-and-you/finances/cost-of-care)\n* Most care is delivered by **home care agencies that take 30-50% margin**, taking advantage of unsophisticated consumers who rely on referrals from overworked case managers/social workers\n* Care recipients often suffer from high caregiver turnover, with **families reporting >100 caregivers cycling through their homes**\n* Fed up with agencies, many families pay independent care workers cash under the table, opening them up to **costly tax penalties and significant personal liability**\n\n**_😞 Caregivers are underpaid and disempowered_**\n\n* Avg. **hourly wages for care workers total just $14-$16/hr**. 45% of care workers live at, or near poverty.\n* **Industry-wide turnover is** [**\\~80%**](https://homehealthcarenews.com/2024/07/home-cares-industry-wide-turnover-rate-reaches-nearly-80/) due to poor pay, difficult working conditions, and unpredictable schedules\n\n---\n\n---\n\n---\n\n# _____________________\n\n### **The Solution**\n\n# **Clara helps families legally hire and manage caregivers, without the use of agency**\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/36bde3e7-9041-47e2-8b59-ff2416e2aa6e)\n\n**Our platform:**\n\n* 👫 Uses AI to match families with local Home Health Aides (HHAs), Certified Nursing Assistants (CNAs), or experienced companion caregivers, all thoroughly vetted and background-checked\n* 📝 Makes 100% legal, on-the-books employment frictionless by automating payroll, taxes, and insurance\n* 📱Helps caregivers deliver the best care possible, while keeping families in the loop with gen-AI care management features\n\n**Our approach:**\n\n1. Improves care quality, consistency, and transparency for care recipients and their families\n2. Increases take-home pay and stability for caregivers, while providing access to key benefits like unemployment insurance and social security\n\nThat’s why our customers call us “refreshing”, and our caregivers call us “too good to be true”\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/6982a009-931e-411e-a09f-757acae0a0d5)\n\n_Jon and Lydia, a Clara care recipient_\n\n---\n\n---\n\n# _____________________\n\n# **Our Team**\n\n[Jon](https://www.linkedin.com/in/jonlevinson1/) and [Ian](https://linkedin.com/in/ian-gillis-3a503837) met as Product and Engineering management counterparts at Uber, where they launched and grew Uber Direct, a new line of business, from $0 —> \\~$1B in revenue.\n\nWhen Jon and his family faced the frustrations of finding and managing care for his father, he reached out to Ian to collaborate on a new approach. Leveraging their combined 20 years of experience building lovable consumer and marketplace tech products, they reimagined home care in America.\n\n![uploaded image](/media/?type=post&id=82720&key=user_uploads/1865044/cdcf2927-89be-4749-a1d5-c348067ece95)\n\n---\n\n---\n\n---\n\n# _____________________\n\n# **🙏 How you can help us**\n\n1. If you know any fantastic caregivers looking for better home care employment opportunities, kindly refer them to us at \n2. We’d also love **introductions to Social Services Directors**, Case Managers, or other professionals with similar roles at post-acute rehab/skilled nursing facilities in the SF Bay Area. We’re building tooling to make their lives easier and would love early partners\n3. Show us some ❤️ by liking/following us on [Facebook](https://www.facebook.com/HomeCareNearMe/), [Instagram](https://www.instagram.com/clara_home_care/), and [LinkedIn](https://www.linkedin.com/company/clarahomecare)\n\n# _____________________\n\n# **💝 How we can help you**\n\nTo celebrate our launch we’re offering 50% off our service fee for the YC community. If you (or someone you know) is looking for a caregiver, or wants to explore new caregiving options for an aging loved one in the Bay Area, send them our way! Just have them complete our intake form at [clarahomecare.com,](http://clarahomecare.com) and send an email to [yc@clarahomecare.com.](mailto:yc@clarahomecare.com) Mention this offer and we’ll take 50% off their first 6 months.", "url": "https://www.ycombinator.com/launches/LWC-clara-better-home-care-for-seniors", "votes": 118, "created_at": "2024-08-05T17:36:05.806Z" } ] }, { "id": 29679, "name": "Dodo", "slug": "dodo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/931b010912edad6092eb6dc209a64e86f18872c9.png", "website": "https://www.dodo.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Dodo turns client communication into booked appointments, completed workflows, and predictive analytics, powering millions of client interactions annually for hundreds of clinics.\r\n\r\nOur multi-agent system autonomously runs scheduling, refills, intake, and follow-ups across calls and texts — integrating directly with clinic systems to cut communication overhead ~70% and act like a trained CSR 24/7.", "one_liner": "AI agents that handle communications for clinics", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1723044153, "tags": [ "Health Tech", "Dental", "Call Center", "AI", "Conversational 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" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dodo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dodo.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dodoinc/", "x_url": "https://x.com/get_dodo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/931b010912edad6092eb6dc209a64e86f18872c9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 732932, "full_name": "Dominik Moehrle", "title": "Founder", "founder_bio": "Building AI agents for medical practices at Dodo. Previously studied Data Science @ Stanford, started beam.ai, and built & scaled 4 products in the healthcare space. When I'm not building, I'm teaching @ equala.org.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dominik-moehrle/", "x_url": "https://x.com/dominik_moehrle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51e45bb1bc064f69788755245d1997ed46ffebe1.jpg" }, { "user_id": 1340182, "full_name": "Julius Hillebrand", "title": "Founder", "founder_bio": "Building AI agents for medical clinics at Dodo. Stanford Engineer, Oxford PPE. Bootstrapped investment tool to $2m+ AUM, automated workflows for a large fintech, and led one of Oxford's biggest university organizations with 1000+ members. Former child actor. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/juliushillebrand", "x_url": "https://twitter.com/julezhillebrand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0d4705d7fb5cdfd2a0f7746c74caadd342a351d.jpg" }, { "user_id": 1997609, "full_name": "Tim Reinhart", "title": "Founder", "founder_bio": "Building AI agents at Dodo. Studied Computer Science at Stanford and Robotics at ETH Zurich. Built autonomous drone systems at one of the worlds leading robotics labs and worked on mobile computer vision applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/t-reinhart/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85050da3c55a62c75f5b2a312e1611282cb0937b.jpg" } ], "jobs": [ { "id": 78310, "title": "Senior Backend Developer (NodeJS)", "url": "https://www.ycombinator.com/companies/dodo/jobs/MJxQNBV-senior-backend-developer-nodejs", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$80K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Bash/Shell", "Node.js", "TypeScript", "Next.js" ] } ], "news": [], "launches": [ { "id": 82858, "title": "Dodo - AI Employees for Specialized Healthcare Clinics 🦤", "tagline": "We staff clinics with specialized AI agents.", "body": "Hey YC! We’re Dominik, Tim, and Julius from [Dodo](https://dodo.health).\n\nDominik and Julius grew up together, and we have known each other for 15 years. We were all in grad school together and just moved up from Stanford.\n\n# **TL;DR: Dodo handles front- and back-office tasks for specialty clinic end-to-end**\n\n* Our AI agents answer calls, send medical records, and refill prescriptions—fully autonomously, with no human in the loop\n* We are starting with veterinary clinics, and are expanding to dental and physical therapy\n* Same-day cancellations trigger automatic outbound calls, filling availabilities on short notice\n* This means: No more hold music, phone trees (”press 1 for x”), or voicemail beeps (sorry if you like listening to jingles for minutes on end 🎶)\n\n### **How you can help ❤️**\n\n* Know someone **who owns a specialty clinic, independently or through a larger corporate/PE?** We would be grateful for an introduction!\n* **Reach out **[**founders@dodo.health**](https://mailto:founders@dodo.health)** or book time on our **[**calendar**](https://dodo.cal.com)**.**\n\n### **Problem: Clinics can’t keep up with their admin work**\n\n* **🫥 Understaffed**: Clinics face labor shortages for administrative tasks, with staff feeling burned out due to long hours and inefficient workflows.\n* **🚆 Undertrained**: One in three medical receptionists leaves their job each year\n* **☎️ Phone-based**: Clinics handle up to 80% of their communication over the phone\n* **⏳ Result**: Bottlenecks in the front- and back-office, as clinics miss calls and clients. They also fail to fill in cancellations on short notice, decreasing efficiency. Callers spend 67% of their call time on hold\n\n### **Solution: AI EMPLOYEES for Specialty Clinics**\n\n* Handling all calls through verticalized AI agents trained on specialty knowledge and receptionists’ manuals (we’re talking literal binders 📚)\n* Interactions with internal software to update patient files, manage schedules, and execute necessary administrative tasks\n* Automatic outbound calls to fill missed appointments on short notice\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/8ce8ac71-be6a-4713-abfb-27bfc9af4e49)\n\n### **👨‍👦‍👦 Meet the Team**\n\nIf you’ve been to a specialty clinic recently, chances are you’ve seen us shadowing their front desk 🕵️‍♂️\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/81442943-c2ec-40c1-a117-1f3dc4f84616)\n\n**Julius** [julius@dodo.health](https://mailto:julius@dodo.health)\\\n\n\n**Dominik** [dominik@dodo.health](https://mailto:dominik@dodo.health)\\\n\n\n**Tim** [tim@dodo.health](https://mailto:tim@dodo.health)\\\n", "url": "https://www.ycombinator.com/launches/LYQ-dodo-ai-employees-for-specialized-healthcare-clinics", "votes": 62, "created_at": "2024-08-08T20:56:59.839Z" } ] }, { "id": 29739, "name": "Planbase", "slug": "planbase", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2283723118896cdc45f7ca77ac9046bc30d61194.png", "website": "https://www.joinplanbase.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Planbase has everything health clinics need to manage their team in one place: capacity planning, employee scheduling, credentialing and payroll.\r\n", "one_liner": "AI workforce management for healthcare ", "team_size": 6, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1723528837, "tags": [ "SaaS", "Health Tech", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/planbase", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/planbase.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/joinplanbase/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2283723118896cdc45f7ca77ac9046bc30d61194.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 823869, "full_name": "Jack Light", "title": "Founder", "founder_bio": "Currently building Planbase | Previously scaled AI forecasting and optimization algorithms with Elando to 100,000 hourly workers, PhD Economics @ UChicago, interested in all things labor economics and workforce", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jd-light/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e6576750a3fbf5d6d7c24bb651b24d7df96f8c0.jpg" }, { "user_id": 841268, "full_name": "Joe Shearman", "title": "Founder/COO", "founder_bio": "Co-founder of Planbase. Previously co-founder @ Elando.ai which automated scheduling and sales forecasting for over 1000 businesses including Domino's and Popeyes. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joeshearman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/609da8553d2c8039d1c2f1eee316b91cfe0074bb.jpg" } ], "jobs": [], "news": [ { "title": "Planbase launches with $2.1M to bring AI automation to healthcare workforce management - SiliconANGLE", "url": "https://siliconangle.com/2025/11/04/planbase-launches-2-1m-bring-ai-automation-healthcare-workforce-management/", "date": "Nov 04, 2025" } ], "launches": [ { "id": 82985, "title": "Planbase - Workforce management for modern healthcare", "tagline": "Everything you need to manage your healthcare workforce", "body": "**TLDR;** COVID accelerated a trend towards hybrid (in-person and virtual) care which makes healthcare delivery increasingly complex. Yet modern clinics still rely on outdated tools to manage their workforce which causes low margins and makes it hard to scale. [Planbase](https://www.joinplanbase.com/) has everything modern clinics need to manage their team: capacity planning, employee scheduling, availability management, credentialing and payroll.\n\n### **🚀 Progress: 800+ clinicians in 6 weeks**\n\nSince launching with our first customer, we've reduced their time spent scheduling by 70% and enabled a 40% increase in patient visits.\n\nPlanbase is now used by 800+ clinicians across all 50 US states and LATAM. \n\n**Here’s what our customers have to say:**\n\n> _Wanted to let ya'll know how kick ass and amazing Planbase is as a tool for us. Complete game changer in the way we are operating and how we are streamlining some of our new operations._\n\n### **❌ Problem: Healthcare staffing has become more complex**\n\nModern providers now operate with a combination of in-person visits and asynchronous chats across multiple states, time zones, payors, specialties and employment types (contract & permanent), with many employees now working remotely. This, combined with rising labor costs, makes it difficult for healthcare practices to scale profitably.\n\n### **✅ Planbase: All-in-one workforce management for healthcare**\n\n* **Simple scheduling that matches patient volume:** Predict patient volumes across states, service lines and visit types. Determine the precise number of providers, align this with their availability, and dynamically adjust schedules.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe09aYb3xn6W3SyBTDjLf7chfEx9vU1moQy_RDXJkZB_9ilSV9hIqwyvcbWywn03caI2E59AEkITpDX-lCkP8a665bT0r9bHqmFxsw4cJSKAVJ1X7HJ-s9CugIYIaqX1Y-iSU6oF6L1QUsHVdgcXTeqD5qj?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Easily manage remote teams:** Allow providers to claim shifts, request leave, track their time, and submit availability with our self-serve Slack App.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1gC7_cmfY00XXpOnkWwk-DMx3rKDlhjp32DDZPhfA5tJiwuvWTPZbf-LfoeIBjXV60w45Y83xJkLp3hylP8_x6BN9QkelRatCdjkCeC7ZBZOoDybSAZXPGzQKhrXnBYcUq1uKAHcb5y5gKL9vYBnAeGJS?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Credentialing in one place:** Track and manage credentialing across states, EMRs, and payors.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejx6n2-eG9snKxrSkCuzeO_c987eM7xvVjF-Mqtc8X3dNK_0AWh6zIHFdNxI_Q2oNBMMOsaDcKmny8eSffEGMYVFGn9a9eGPJ1uovkxuLOTqdACBMSBud8QEjnFsdnr7FfLL4UxqjJ3cVic5lEKxB9gIx4?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Payroll built for healthcare**: Simplify payroll with automated calculations for industry specific pay rules like on-call, per diem and per-consult pay.\n\n ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXehY4pfDyq85pyF2Bl0qIze4kpxmUUzKnrY2zD3OlhSPDG0845efDEwz9_6voXgtdOKlQGGVFPeRVWrPfBIXQJxnUDEu7Q28AxJqo5kVqZ_VRGzsjZl24eogfNKMT5oMGlzIiLiuh5P9XwRvP34xHXgABM?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=82985&key=user_uploads/841268/14a4a970-cea3-4dbf-9fb6-84b69f2c04a9)\n\n[Jack](https://www.linkedin.com/in/jd-light/) – Econ PhD from UChicago studying workforce optimization. Research commercialized for companies like Domino’s and Getir. Oxford, ex-Rothschild.\n\n[Joe](https://www.linkedin.com/in/joes20/) – Previously led product at a workforce management platform. Repeat founder, ex-McLaren Engineer.\n\n### **Our ask**\n\nWe’d love to connect with any healthcare companies that offer telehealth. Especially, if you have any connections to Wheel, SteadyMD, Ro, Hims, Carbon Health, Kry, Charlie Health, or Talkspace!\n\nReach us at [founders@joinplanbase.com](mailto:founders@joinplanbase.com)", "url": "https://www.ycombinator.com/launches/LaT-planbase-workforce-management-for-modern-healthcare", "votes": 22, "created_at": "2024-08-13T14:49:34.607Z" } ] }, { "id": 29794, "name": "Baseline AI", "slug": "baseline-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a2cd9231d352195b9c81d40c7f7df4295e580f3.png", "website": "https://www.baselinetrials.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. We use AI to automate the process of creating everything from the protocol, saving not only spend on headcount but also months of time which can translate to up to $27M in direct costs + lost revenue saved for a single phase 3 trial. ", "one_liner": "AI document creation and data management for clinical trials", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1724199477, "tags": [ "SaaS", "Health Tech", "B2B", "Biotech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Inactive", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/baseline-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/baseline-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/baseline-trials/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a2cd9231d352195b9c81d40c7f7df4295e580f3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 231856, "full_name": "Zoe Sheill", "title": "Founder", "founder_bio": "Co-founder of Baseline AI. Previously MIT, SpaceX. Ask me about the Banana Lounge at MIT", "is_active": false, "linkedin_url": "https://linkedin.com/in/zoesheill", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c422e39e1879f9db3e792d85809abf0cdcf25bca.jpg" }, { "user_id": 718972, "full_name": "Nabil Baugher", "title": "Founder", "founder_bio": "Baseline AI Co-founder. Previously ML at YouTube and software at Slack/Audible. CS + Neuro at MIT.", "is_active": false, "linkedin_url": "https://linkedin.com/in/nabil-baugher-93822a18a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18f276eb5dbe48846d6af690b88fcac3b84b04b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83484, "title": "Baseline AI: AI Document Creation + Data Management for Clinical Trials", "tagline": "Getting treatments out of the lab and into the hands of patients that need them", "body": "### **Tl;dr**\n\n[Baseline’s](https://www.baselinetrials.com/) AI platform helps pharmaceutical companies eliminate months of manual work during clinical trials by automating the study build, data transformation, and analysis creation. This can save a single trial up to $18M in direct costs and lost revenue.\n\n### **⚠️ Problem**\n\nThe main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. This makes the process both expensive and time-consuming, with **a single day lost** in a clinical trial **costing** [**50k-300k** (depending on phase)](https://baselineai.notion.site/Cost-of-1-Day-By-Stage-af2f3e4008444ed8a819d288d45fd31d?pvs=74). \n\n### **🚀 Solution**\n\nWe offer a three-part solution:\n\n* **Baseline Build**\n * Processes the study protocol to create the study data collection forms, clinical database design, and error checks\n* **Baseline Harmonize**\n * Transforms data from external sources into the desired format based on the database model\n* **Baseline Analyze**\n * Uses the study protocol and database model to create the analysis tables and figures\n\nImplementing our AI workflows can **save a single phase 3 clinical trial up to $18M** in direct costs and lost revenue.\n\n![uploaded image](/media/?type=post&id=83484&key=user_uploads/718972/f7dbfa5f-f8d8-436f-9ee5-29139b3f9de7)\n\n**📘 Backstory**\n\nWe’re [Nabil](https://linkedin.com/in/nabil-baugher-93822a18a) and [Zoe](https://linkedin.com/in/zoesheill) — two recent MIT grads who want to help bring new treatments to patients in need faster. We noticed that despite drug discovery being faster than ever, new treatments for things our friends and family needed seemed to rarely make it to market. Zoe also participated in a clinical trial herself and wanted to see the system improve. \n\n### **🙏 Ask**\n\nIf you or anyone you know are in pharma/biotech or running clinical trials, we’d love to chat! Please reach out to us at [founders@baselinetrials.com](mailto:founders@baselinetrials.com).", "url": "https://www.ycombinator.com/launches/LiW-baseline-ai-ai-document-creation-data-management-for-clinical-trials", "votes": 98, "created_at": "2024-08-27T21:22:07.159Z" } ] }, { "id": 29857, "name": "Pharos", "slug": "pharos", "former_names": [ "Integral" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6bc69e6d80f63ab6e42521e8b3794045119a54b.png", "website": "https://pharos.health/", "all_locations": "San Francisco, CA, USA", "long_description": "Pharos automates hospital quality reporting, saving millions in labour costs and helping to prevent avoidable patient harm. \r\n\r\nToday, clinicians spend thousands of hours manually pulling complex facts out of medical records for mandatory reporting and quality improvement.\r\n\r\nOur AI pulls those facts out of unstructured medical records automatically. We automate reporting and show staff where avoidable patient harm is happening.", "one_liner": "Helping hospitals identify and prevent avoidable harm using AI", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1722645222, "tags": [ "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Felix and Matthew worked together for nearly 5 years at [Vital.io](http://Vital.io), a company deploying AI models into hospitals. While piloting clinical adoption of a predictive sepsis model, they realized that enabling quality staff with AI represents a huge opportunity to improve patient outcomes." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We believe in a future where AI catches medical mistakes everywhere in the hospital, before they become serious. We want to be the lighthouse for our hospitals, supporting clinicians and reducing patient harm." } ], "url": "https://www.ycombinator.com/companies/pharos", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pharos.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104694129", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6bc69e6d80f63ab6e42521e8b3794045119a54b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1071896, "full_name": "Felix Brann", "title": "Founder/CEO", "founder_bio": "CEO at Pharos. Previously VP Data Science at vital.io and VP Quantitative Research at JP. Morgan. \n\nObsessed with sepsis: https://ai.jmir.org/2024/1/e49784 ", "is_active": true, "linkedin_url": "https://linkedin.com/in/felix-brann", "x_url": "https://x.com/felix_brann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59f18f5df5bf9592d0597244f3304221e98bcdff.jpg" }, { "user_id": 1071901, "full_name": "Matthew Jones", "title": "Founder/CTO", "founder_bio": "Founder and CTO at Pharos, preventing avoidable harm in hospitals using AI. Previously part of the founding team of Market2x, a rural trucking marketplace and optimisation platform in New Zealand.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthewrj", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9eca52b981b51998b94cdf496a277206ad87afc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83321, "title": "🏥 Pharos - Automate reporting and prevent patient harm with AI", "tagline": "We automate medical quality reporting, and show hospital teams where and why patient harm is happening.", "body": "**tl;dr:** _The data hospital teams need to improve patient safety is buried in unstructured medical records. Today, clinicians spend thousands of hours manually ‘abstracting’ it for reporting and analysis. We automate the entire process and use the data to show them where and why avoidable harm is happening._\n\nHi folks! We’re Felix and Matthew, and we’re building [Pharos](https://pharos.health/).\n\n![uploaded image](/media/?type=post&id=83321&key=user_uploads/1071896/62d84f34-3817-4a5b-a0cd-dd33696a375f)\n\n## The problem:\n\nAvoidable harm happens in hospitals **all the time**. Wards are busy, clinician turnover is high, and an aging population means increasingly complex patients. Sepsis alone kills 350,000 patients a year in the US, and a significant number of those deaths are preventable.\n\nHospitals have teams dedicated to preventing harm. They track avoidable events, identify the process failures that cause them, and report performance data to clinical registries. This means identifying harm events, risk factors and process adherence from patient journeys composed of pages of unstructured clinical notes.\n\nToday, this is an entirely manual process. Producing structured quality metrics from a single complex patient case can take up to **8 hours of clinical time**. A single hospital can spend **$5m per year** extracting this data, and it still arrives weeks after discharge, on a small sample of their patients.\n\n## The solution:\n\nOur AI extracts the data quality teams need from **every patient record in real-time**. It produces verifiable quality metrics, with references into the original medical record.\n\n![uploaded image](/media/?type=post&id=83321&key=user_uploads/1071896/846b2e48-6ec0-4dd0-bbce-aaccf821b343)\n\nWe use this data to:\n\n* **Automate reporting** for clinical registries and value-based reimbursement contracts, saving thousands of clinical hours.\n* **Identify and surface process failures** that are contributing to patient harm, letting teams take action on issues like sepsis, hospital-acquired infections, and pressure ulcers.\n* **Measure the impact of quality improvement projects** in real-time rather than months after implementation.\n\n## Why us?\n\n[Felix](https://linkedin.com/in/felix-brann) and [Matthew](https://www.linkedin.com/in/matthewrj) spent the past 5 years deploying patient and clinician-facing AI into over 70 hospitals together.\n\nAs VP of Data Science, Felix published papers in major medical journals on sepsis prediction and medical record summarization using LLMs. Matthew has years of experience integrating software into EHRs and previously built another startup from inception to international expansion.\n\nAlex joined the team after working as a doctor in the UK and then as a medical AI researcher at Imperial College London and Meta’s Reality Labs. He experienced this problem firsthand, spending years of his residency frustrated at the manual abstraction required for quality improvement.\n\nWe believe enabling quality teams with AI represents a huge opportunity to save lives and prevent harm.\n\n## Our ask:\n\nPlease reach out to [felix@pharos.health](mailto:felix@pharos.health) if you know the following people!\n\n* Anyone working at a senior level at a US hospital (we’ll ask them for an intro to their quality team)\n* Anyone working in healthcare with a title that includes “Quality”, “Patient Safety,” or “(Sepsis, Stroke, …) Coordinator”\n* Academics and clinicians working at the intersection of data and clinical quality", "url": "https://www.ycombinator.com/launches/Lft-pharos-automate-reporting-and-prevent-patient-harm-with-ai", "votes": 73, "created_at": "2024-08-22T20:11:27.515Z" } ] }, { "id": 29987, "name": "Syntra", "slug": "syntra", "former_names": [ "Lightning Medical" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png", "website": "https://www.syntra.com", "all_locations": "San Francisco, CA, USA", "long_description": "Syntra’s mission is to make healthcare faster, starting with healthcare payments.\r\n\r\nSyntra Autonomous, our first product, automates pre-bill chart review, claim review, and submission.\r\n\r\nIn the 12 months since launch, Syntra Autonomous has processed more than 1 million patient encounters and over $200 million in insurance collections across hundreds of practice locations nationwide.\r\n\r\nIf you’re interested in building toward infinitely fast healthcare, reach out!", "one_liner": "Faster healthcare payments ", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1723733582, "tags": [ "FinOps", "Fintech", "Healthcare IT", "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": null, "url": "https://www.ycombinator.com/companies/syntra", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/syntra.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104475652/", "x_url": "https://x.com/SyntraSystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d4a676d9f1d47885adf6d5d0e839d335e03d2198.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 981289, "full_name": "Ayush Jain", "title": "Founder/CEO", "founder_bio": "Ayush is the co-founder and CEO of Syntra.\n\nBefore Syntra, Ayush was awarded the Goldwater Scholarship for his work on using EHR Data to simulate clinical trials. He studied Computer Science and Chemistry at Duke University where he first-authored papers in international AI + Healthcare conferences, featuring his work at the Broad Institute of MIT and Harvard and Duke AI Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayushaadijain/", "x_url": "https://x.com/ayushaadijain", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec1cdee81f66ae39db32aac01b4d9dd9151d4991.jpg" }, { "user_id": 1795464, "full_name": "Aniketh Kolla", "title": "Founder/CTO", "founder_bio": "Aniketh is the co-founder and CTO of Syntra.\n\nBefore Syntra, Aniketh was studying Mathematics and Computer Science at Duke University. He has presented several papers at national conferences and was the lead engineer responsible for scaling an app from 0 to 8 million users.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anikethkolla/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/497983f130791bf18f129353f8ed852f82d6c679.jpg" } ], "jobs": [ { "id": 96313, "title": "Healthcare Enterprise Full Cycle Account Executive", "url": "https://www.ycombinator.com/companies/syntra/jobs/mghppvZ-healthcare-enterprise-full-cycle-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96315, "title": "Applied Healthcare AI Engineer ", "url": "https://www.ycombinator.com/companies/syntra/jobs/i6GtpqR-applied-healthcare-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 96316, "title": "Healthcare Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/syntra/jobs/UcI7dSK-healthcare-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30027, "name": "Durate", "slug": "durate", "former_names": [ "Docflow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65de336868d0c75622bc0c22ef04be57da179d1d.png", "website": "https://www.durate.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Durate helps physician groups, clinics, and hospitals eliminate coverage gaps and create personalized schedules. Our platform auto-syncs with existing systems and uses smart automation to build optimized physician schedules in seconds.", "one_liner": "Self-running physician scheduling", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1728392131, "tags": [ "SaaS", "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/durate", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/durate.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/durate", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65de336868d0c75622bc0c22ef04be57da179d1d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1617168, "full_name": "Michael Mounajjed", "title": "Founder/CEO", "founder_bio": "Rice CS / Applied Math dropout now building automation software for hospital administrators at Durate", "is_active": true, "linkedin_url": "https://linkedin.com/in/michael-mounajjed", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63d196f6fd656db6238efb9c645c0ceacf3e081b.jpg" }, { "user_id": 1734388, "full_name": "Benjamin Liu", "title": "Founder/COO", "founder_bio": "Automating back-office admin tasks for hospitals, ex-Rice CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-franklin-liu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94eea09529382493252ac37cfdd3e189f20df2f4.jpg" } ], "jobs": [ { "id": 116544, "title": "Founding Full Stack Engineer", "url": "https://www.ycombinator.com/companies/durate/jobs/IxpQj2P-founding-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85374, "title": "Durate - Automated hospital scheduling and management", "tagline": "We turn hundreds of hours of hospital planning into seconds.", "body": "# **TL;DR: It’s time for administrative software in hospitals to change**\n\nAdministrative tasks like scheduling consume extremely valuable time in hospital departments and clinics, diverting focus from patient care.\n\nDurate automates these back-office operations with a customizable solution, saving healthcare administrators and providers—including chief residents, doctors, and fellows—hundreds of hours. This allows them to concentrate on what matters most: delivering exceptional patient care.\n\n# **The Problem:** _\"Wait, I thought I'd be saving lives—not excel files?!\"_\n\nDoctors spend almost 20% of their working hours (and plenty more in additional hours) doing administrative work. We saw this first-hand with our parents and siblings who are doctors that devoted their lives to help people only to spend a large percentage of their time in Excel.\n\nThis inefficiency stems from a gap in healthcare software. While modern solutions heavily focus on hospital-patient interactions, they often neglect a connection just as important: the relation between the hospital to provider. Because of the dozens of rules and regulations, in addition to the lack of effective tools, providers are forced into doing complex back-office tasks that consume valuable time and energy.\n\n# **The Solution:**\n\n\n\n(Note: our previous name was Docflow)\n\nAfter initially starting at Harvard’s Psychiatry Residency program, Durate has been able to handle dozens complex rules, regulations, and program-specific information to safely create the most efficient program schedules. This centralized source of truth is vital for providing critical information to administrative tasks such as managing graduation requirements, processing payroll, ensuring compliance, and much more. By streamlining these processes, Durate empowers programs to operate more efficiently and focus on what truly matters—delivering incredible patient care.\n\nHere’s some more ⬇️\n\n**Customizable, Simple, and Intelligent Software:**\n\nWith AI, we’re able to add a layer of customizability in administrative software not previously seen before. Now, when you want to factor in John, who loves working Friday shifts, or Mary who is on Maternity leave — or any of the various things your previous software just could not understand (by anything, we truly mean anything) — Durate can do that with ease in just plain English.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/cd2cee17-4516-4135-8a20-3d04705db4aa)\n\nDurate is a simple solution for hospital’s most complex problems.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/69656061-f787-45c1-9db9-40f64b948efd)\n\n# **Moving Forward:**\n\nAlthough we initially focused on scheduling for residency programs, our main goal is to tackle as much complexity as possible in administrative work. We believe we can fundamentally transform extremely complex administrative tasks, allowing software to handle the work for you with ease.\n\n# **Our Team**\n\nMichael and Ben met during their first few weeks at Rice University where they lived, built software, and studied applied mathematics and computer science together before deciding to drop out.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/2d31980c-009e-44a5-8b0e-1b4a147b5084)\n\n[**Michael**](https://www.linkedin.com/in/michael-mounajjed/) - Michael grew up in Madison, WI—the headquarters of the largest medical software company in the US—born to two physician parents and grew up hearing about its shortcomings. His mom works in the internal medicine residency program at the University of Wisconsin-Madison. Michael founded his first company, Calceus Mining, in high school, building and optimizing Ethereum rigs which went on to process tens of millions of dollars in transactions. He was inducted into Wisconsin’s Business Hall of Fame at 16 years old.\n\n[**Ben**](https://www.linkedin.com/in/ben-franklin-liu/) - Ben’s sister is a chief resident at Cambridge Health Alliance, dedicating extensive time to scheduling residents. As the former president of Rice’s largest software engineering group, Ben has years of experience building automation products seen and used by hundreds of thousands of people.\n\n# **Our ask (and offer):**\n\nScheduling and administrative work aren’t relevant to just one kind of provider. We’re looking to connect with anyone in medicine who handles administrative tasks such as physician scheduling, payroll, or accreditation. This typically includes professionals working in institutions like:\n\n1. **Hospitals**\n2. **Nursing Homes & Agencies**\n3. **Private Clinics**\n4. **Residency Programs**\n5. **Outpatient Facilities**\n6. **Locum Tenens Agencies**\n\nIf that sounds like you, feel free to reach us at [founders@durate.com](https://mailto:founders@durate.com)!\n\n* **Sign up here:** [**Link here**](https://www.surveymonkey.com/r/ZJ98PJR)\n* **Share this post! -** Know anyone in healthcare who’s overwhelmed with administrative work (nurses, doctors, residents, etc.)? Let them know about us!\n* **Book a demo:** [**Link here**](http://cal.com/michael-mounajjed-dmt5wn/)\n* **Follow us on** [**LinkedIn**](https://www.linkedin.com/company/docflowsoftware/)\n* **Learn more at** [**durate.com**](https://www.durate.com)", "url": "https://www.ycombinator.com/launches/MD0-durate-automated-hospital-scheduling-and-management", "votes": 44, "created_at": "2024-11-08T04:28:26.847Z" } ] }, { "id": 30124, "name": "Careforce", "slug": "careforce", "former_names": [ "Helpcare AI", "Careforce (prev. Helpcare AI)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6784593709cc6c24d2c3397f86bf70db9efc63c.png", "website": "https://careforce.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Careforce builds AI Workers for healthcare orgs to take on coordination burden from staff and reduce time of care by autonomously identifying and outreaching patients (through phone, text, email, & mail) to schedule visits, book screenings, complete pre-post, and onboard. \r\n\r\nThese agents require no integration, can navigate all tools, speak 29 languages, come with 50+ outreach scripts and have a remarkable 80% conversation-to-booking closing rate.", "one_liner": "AI Workers for Healthcare Orgs to Find, Call & Schedule More Patients.", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1730747199, "tags": [ "Health Tech", "Healthcare", "Healthcare IT", "Call Center", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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": null, "url": "https://www.ycombinator.com/companies/careforce", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/careforce.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104092972", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6784593709cc6c24d2c3397f86bf70db9efc63c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1090886, "full_name": "Huzaifa Sial", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Careforce. Huzaifa is deeply focused in helping 3x care for all Americans.\n\nPreviously led AI Orgs @ United Healthcare & Optum. Masters in Clinical Informatics form Northwestern and has spent 14+ yrs building Healthcare AI solutions like Disease Prediction Models, Recommendation Engines, Patient Engagement & Behavioral Models, DME optimization Models, Care Delivery & Provider Search Engines etc. 4 Health AI Patents, 2 Healthcare AI exits.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hsial/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd236046ef58e7eb8d13d57627f55ece80f5c453.jpg" } ], "jobs": [ { "id": 78672, "title": "Senior Fullstack Engineer", "url": "https://www.ycombinator.com/companies/careforce/jobs/Hjx9nA3-senior-fullstack-engineer", "location": "Oakland, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React" ] }, { "id": 97354, "title": "Technical Product Manager", "url": "https://www.ycombinator.com/companies/careforce/jobs/3IP8uMc-technical-product-manager", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97355, "title": "Technical Program Delivery Lead", "url": "https://www.ycombinator.com/companies/careforce/jobs/ZJ28Tzb-technical-program-delivery-lead", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97356, "title": "Enterprise Sales Lead", "url": "https://www.ycombinator.com/companies/careforce/jobs/Q4ekhMP-enterprise-sales-lead", "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140 - $180", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114991, "title": "Customer Success & Delivery Lead — Careforce", "url": "https://www.ycombinator.com/companies/careforce/jobs/0YNOnut-customer-success-delivery-lead-careforce", "location": "Alameda, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$120 - $140", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 85791, "title": "Careforce - Must-have AI agents 🤖 for Healthcare admin 🏥", "tagline": "Get more patients in the door with AI agents for Healthcare Admin", "body": "Hi 👋 I’m [Huzaifa](https://www.linkedin.com/in/hsial/). At [Careforce](https://careforce.ai) we're eliminating the human-glue burden of admin & care coordination on staff with AI workers.\n\n### **TL;DR**\n\n* **Reduce the human-glue burden** on your health center staff for admin & care coordination tasks and increase revenue with Careforce AI Agents.\n* **Autonomously Call. Text. Schedule.** across multiple EMR, scheduling, & payer portals in 29 Languages and book 30% more appointments.\n* **Autonomously Sync. Analyze. Identify** unrealized revenue across all portals and plans, without needing to spend time & $$ integrating systems.\n\nhttps://www.youtube.com/watch?v=cWwsuSoAHgk\n\n# **The Problem**\n\nEven after spending almost $800B/yr (almost 70% of revenue) on staffing, Healthcare organizations leave 2/3rd of care unserviced, costing 30% in bookings & $250B/year in care coordination waste.\n\nMost care coordination & data sharing is still manually done by staff through phones, email, fax because of unintegrated systems and custom workflows too unique to automate out of the box.\n\n* **For health centers & practices** this means MAs (short-staffed with front desk and intake) end up spending most of their time on admin tasks and most patients are never outreached & scheduled for vital screenings/visits, leaving a 1/3rd of care unserviced.\n* **For Digital health & CCM companies** this means staffing admin & call centers for outreach, onboarding, task completions, reminders, or answering questions.\n* **For Payers** this means setting up a new call center or admin team every time a new program, benefit, or measure is launched to reach, schedule, onboard, or educate members.\n\n# **The Solution**\n\nCareforce creates autonomous agents that are able to take on these human-glue tasks and **complete them in the same way as your staff would without the need for integrations**. Our AI agents are already 🟢 Live with health centers and digital health companies helping analyze, call, schedule, and generate revenue.\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/4b715375-b238-4976-931a-bee237740ed1)\n\n### **Angelica⟡** **(Admin):**\n\nCan autonomously:\n\n* Call, text, email, and schedule patients autonomously\n* Outreach using 50+ editable scripts (mammograms, pre-post-op, onboarding etc.)\n* Speak in 29 Languages to engage and educate across demographics\n* Make 100 calls / min. and finish a year’s worth of outreach in weeks\n* Leave Voicemails, Sending reminders, and autonomously retry patients as needed\n* Use EMR, Scheduling, payer and provider portals through UI or API Integrations\n\n### **David⟡** **(Data):**\n\nCan Autonomously:\n\n* Sync data from API and Integrations into a centralized AI-friendly data bucket.\n* Use UI to download data across EMRs & portals to create a Universal Patient View\n* Find unrealized revenue, and growth opportunity using your unique workflows\n* Prepare reports, and generate lists for Angelica⟡ to realize the unrealized revenue\n\n**1. David downloading report from an EMR portal**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/abeb0d09-f12f-40d1-9afd-be02a97357e8)\n\n**2. David** **calculating unrealized revenue**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/0a585ab1-1749-470f-897d-625600f6dcca)\n\n# **Our Mission 🚀**\n\nAt Careforce our mission is to improve the world's capacity for care.\n\nWithin this coming year, Careforce will solve the interoperability issue for care coordination with David and Angelica and make admin days and admin tasks a think of the past. Doctors, and nurses can finally focus on the patients and a lot more people can get the care they need.\n\n# **Our Ask**\n\n### **Healthcare Orgs:**\n\nLet us take on your calling, coordination, and manual admin work so you can get more patients in the door without burning out your staff. We'd love to learn about your use cases and give you personalized demos unique to your use case. [Book time with us](https://cal.com/helpcare/30min) or email [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n### **Healthcare frustrated:**\n\nIf you are annoyed with the state of healthcare, especially around getting care and dealing with the administrative burden of it all. Send us an email at [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/15ed9b27-e2af-4550-b802-02087ff79cf0)\n\n", "url": "https://www.ycombinator.com/launches/MJj-careforce-must-have-ai-agents-for-healthcare-admin", "votes": 56, "created_at": "2024-11-22T04:13:51.837Z" } ] }, { "id": 30218, "name": "Toothy AI", "slug": "toothy-ai", "former_names": [ "Toothy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.png", "website": "https://www.toothy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re Toothy.ai. We’re building AI agents for dental practices that handle everything related to patient insurance. The average dental clinic spends over 160 hours a month on insurance tasks like verifying patient policies, billing, and claims processing. Our AI agents automate this entire workflow—including making insurance calls with voice AI—saving clinics time, reducing costs, and ensuring faster reimbursements.", "one_liner": "AI for insurance verification & billing at dental clinics", "team_size": 15, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1736273040, "tags": [ "Health Tech", "Healthcare", "Dental", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "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": null, "url": "https://www.ycombinator.com/companies/toothy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/toothy-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/toothy-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1fe65dd62e91bce60fafd27b8e4bea680f8db7d3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2386492, "full_name": "Johnny Chen", "title": "Founder/CEO", "founder_bio": "2nd time founder now automating back office functions for dental clinics. Built one of the first AI B2B cold email solutions (backed by SoftBank) to $1m in ARR using GPT-J. Background in full stack engineering, operations management, and B2B marketing. Previously worked at Ford Motor’s R&D lab as a software engineer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnnychen54/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3bb9c5027373836a24ef758940becc0783473a2.jpg" }, { "user_id": 2380535, "full_name": "Matt Kerrigan", "title": "Founder/CTO", "founder_bio": "2nd time technical founder at Toothy AI, where I'm working on automating back office operations for dental clinics. First journey ended in Salezilla, a LLM-based cold email campaign tool that launched before ChatGPT, it is still operating today. Before that I was in a ML role at a startup that was acquired by Nordstrom.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mkerrig/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef18191243b4a9bfe0ed4a8fecb3109583b387d.jpg" }, { "user_id": 2380507, "full_name": "Tejas Konduru", "title": "Founder/CRO", "founder_bio": "Helping build the largest healthcare AI company!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tejas-konduru", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [ { "id": 74334, "title": "Founding Lead Engineer", "url": "https://www.ycombinator.com/companies/toothy-ai/jobs/W8Hxj4B-founding-lead-engineer", "location": "San Francisco, CA, US / Chicago, IL, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "$100K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "Natural Language Processing" ] } ], "news": [], "launches": [ { "id": 87923, "title": "🦷 Toothy.ai: Automating insurance verification & claims for dental clinics", "tagline": "Our AI agents automate insurance verifications, claims filing, payment posting (including checks), denials, and follow-ups.", "body": "### **Tl;dr**\n\n* [Toothy.ai](http://Toothy.ai) is building HIPAA-compliant AI agents that automate all the back office functions in a dental practice. Our first two agents automate the entire revenue cycle, so dental practices can sit back and watch the insurance payments roll in [😎](https://emojipedia.org/smiling-face-with-sunglasses)\n* Our AI handles everything from insurance verification, claim creation, claim submission, denial correction, claim resubmission, and payment posting.\n* We're already seeing early customers cutting their back office teams by 50-75% within weeks of implementing Toothy.\n\n### **Launch video**\n\n\n\n### **❌ The problem**\n\n* Dental practices **waste 800 million hours** and **$13.2 billion** per year on time-consuming and repetitive back-office tasks. On top of that, dental practices are facing an unprecedented labor shortage and **90**% of them find it extremely or very challenging to fill vacant positions.\n* The largest, most time-consuming, and error-prone part of a dental practice’s back office is revenue cycle management (RCM)—the process of getting paid. **80%** of dental practices face financial concerns due to RCM challenges. Tasks like insurance verification, claim submission, and payment posting are labor-intensive and prone to errors. Frequent policy changes make it difficult to verify coverage, leading to billing discrepancies and delayed payments.\n\n### **✅ The solution**\n\n![uploaded image](/media/?type=post&id=87923&key=user_uploads/2386492/97bc335c-1d5b-4c4a-ab85-e45f800ca7b2)\n\n* Toothy’s AI agents automate the entire RCM process, **saving practices 160+ hours per month and increasing revenue by 5-10%**. Our AI agents handle everything from insurance verification to payment posting, eliminating the largest source of administrative burden.\n* How do our agents work?\n 1. **☎️ Verify Insurance** – Calls payers and check online portals to confirm coverage.\n 2. 📝 **Input data** - Fills out and uploads a comprehensive breakdown form with 50+ codes into your practice management system.\n 3. 📬 **Create and submit claims** - Accesses imaging software, clinical remarks, and plan details to create & submit comprehensive claims.\n 4. 🛠️ **Correct denials** - Understands denial reasons, updates the claim, and resubmits to payers. Can even draft appeal letters.\n 5. **💰 Payment posting** - Collects, scans, and deposits insurance checks into your bank account.\n* Toothy becomes your full-time RCM team, reducing staff workload and ensuring faster, higher reimbursements.\n\n### **🙏 Our Ask**\n\n* Toothy is already working with dozens of forward-thinking dental practices who never want to deal with insurance again. If that sounds like you, we'd love to talk:\n * 👉 Book a demo: [Here](https://calendly.com/toothy-ai/toothy-ai-demo)\n * Learn more: [toothy.ai](http://toothy.ai)\n* For other inquiries, please email [founders@toothy.ai](mailto:founders@toothy.ai)", "url": "https://www.ycombinator.com/launches/Ms7-toothy-ai-automating-insurance-verification-claims-for-dental-clinics", "votes": 76, "created_at": "2025-02-22T18:42:24.753Z" } ] }, { "id": 30249, "name": "HealthKey", "slug": "healthkey", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1861589f70a31b85bd0f644259f89e147516204.png", "website": "https://gethealthkey.com/", "all_locations": "Austin, TX, USA", "long_description": "HealthKey helps doctors offices generate more revenue by finding eligible patients for their clinical trials. We match at-risk patients with cutting-edge treatments, ultimately getting patients access to potentially life-changing treatments faster.\r\n\r\nBig Pharma pays a lot of money to clinics for each patient they enroll, but finding patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.", "one_liner": "AI-powered Patient Identification for Clinical Trials", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1737252261, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/healthkey", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/healthkey.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gethealthkey/", "x_url": "https://x.com/HealthKey_HK", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1861589f70a31b85bd0f644259f89e147516204.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f514188146134d705f609597f14b2995f4bd5e94.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 105349, "full_name": "Josh Sabol", "title": "Founder/CEO", "founder_bio": "Founder/CEO of HealthKey. Previously a Product Manager at AWS, helping automate the ~$20B supply chain at AWS. I was the 1st PM at Plate IQ (S15), a B2B accounting & payments tool, which 10x'ed during my tenure and recently raised a $160M Series B from FTV Capital. 🌐 https://sabol.io/", "is_active": true, "linkedin_url": "https://linkedin.com/in/joshsabol", "x_url": "https://x.com/JoshSabol", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e95ad93aa9652613ccb07b5849e1641f5b0901fe.jpg" } ], "jobs": [ { "id": 114161, "title": "Business Manager (Accounting & Operations) - [Part Time / In-Person]", "url": "https://www.ycombinator.com/companies/healthkey/jobs/trfvIw4-business-manager-accounting-operations-part-time-in-person", "location": "Austin, TX, US / Chih., MX / Chihuahua, MX", "type": "Contract", "role": "Finance", "role_type": null, "salary_range": "$35 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 87758, "title": "HealthKey — AI-Powered Patient Identification for Clinical Trials", "tagline": "Find 2x eligible patients in ½ the time", "body": "Hi everyone, [Josh Sabol](https://www.linkedin.com/in/joshsabol/) here with [**HealthKey**](https://gethealthkey.com/) 👋\n\n### **TL;DR**\n\nHealthKey helps doctors offices generate more revenue by identifying patients who are eligible for clinical trials, and matches at-risk patients with cutting-edge treatments. Big Pharma pays _a lot_ of money to clinics for each patient they enroll, but _finding_ patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 \n\n\n\n### **The Problem**\n\nPharma/Biotech/Medical Device companies (a.k.a. Sponsors) rely on doctors’ offices (a.k.a. Research Sites) to find patients for clinical trials. **Each enrolled patient can bring a site anywhere from $20,000 to $100,000**. The problem is finding qualified patients. **Doctors have to manually search through dense medical records** looking for extremely specific criteria, for [**example**](https://clinicaltrials.gov/study/NCT05683691#participation-criteria): “Prostate cancer in T2c stage, 20-80 cc in size determined via MRI.” **Existing search tools rely on simple data fields**, so they can’t handle these nuanced requirements. As a result, doctors manually sift through lists of 1000 patients with Prostate cancer only to discover \\~5 patients match all eligibility criteria. The result is **wasted time, missed revenue, and fewer patients** getting access to potentially life-changing trials.\n\n### **The Solution**\n\nOur solution works in two steps:\n\n**1. AI-Driven Prescreening**\n\nWe connect with clinics’ EHR system\\* directly to pull all medical records, including faxed PDFs. Then we use AI to compare each patient’s medical history against a trial’s specific eligibility criteria. For example: prostate cancer’s status, stage, size, and impression source. We repeat this for every criterion, across all trials, creating a carefully vetted list of potential candidates ranked by how likely they are to qualify.\n\n**2. Doctor Review**\n\nDoctors log in to our dashboard to view the prescreened patients. For each candidate, HealthKey highlights the key pieces of evidence—such as MRI details or encounter notes—so doctors can verify if a patient qualifies. This feedback loop improves our system, making it fast and easy to identify, qualify and enroll patients into clinical trials.\n\nDoctors can onboard in under a week with our existing integrations\\*, or we’ll integrate with any certified EHR for free. Clinics only pay when they successfully identify qualified patients!\n\n\\* Current Electronic Health Record (EHR) integrations include Athena, Veradigm Allscripts, Epic, NextGen, and MedConnect.\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/63655e71-0364-435d-a48a-5eba0690ed2a)\n\n### **Case Study: $1.4M in Missed Revenue at Urology Clinic**\n\nOne of our current partners is a +10 location urology practice. They have 4 research coordinators who each spend 3 hours every morning searching for trial candidates manually in their EHR. This manual screening is the most time-consuming part of their day.\n\nLast year, they actively recruited for 11 clinical trials. They missed their enrollment targets because they couldn't identify enough eligible patients, resulting in $1.4M in missed revenue.\n\nHealthKey has freed up countless hours of staff time, and has already identified 100s of eligible patients. With HealthKey's AI-powered Patient Identification, they're now positioned to meet enrollment targets and capture their full revenue opportunity.\n\n### **The Ask**\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 \n\nFinding patients for clinical trials is an enormous pain. If you know decision-makers in any of these organizations, we’d be super grateful for an introduction! Email us at [founders@gethealthkey.com](mailto:founders@gethealthkey.com)\n\n1. Healthcare orgs that do Research or run Clinical Trials (Hospitals, Clinics, etc.)\n2. Research Sites / Site Networks\n3. Pharma companies\n4. Bio-tech companies\n5. Medical Device companies\n6. Durable medical goods providers\n\n### **Thanks!**\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/b24b4fef-e9fd-4794-9d64-441183e5d94f)\n\n", "url": "https://www.ycombinator.com/launches/MpS-healthkey-ai-powered-patient-identification-for-clinical-trials", "votes": 33, "created_at": "2025-02-17T21:17:11.716Z" } ] }, { "id": 30265, "name": "Harbera", "slug": "harbera", "former_names": [ "Harbor", "Habera" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e6ffdce0849e290e9af29bb1746cf9441830631.png", "website": "https://harbera.com/", "all_locations": "New York City, NY, USA", "long_description": "Harbera helps clinic keep their doctors credentialed and compliant. Our AI software continuously monitors and proactively helps admin teams re-credential doctors, preventing denied claims, disruptions in patient care, and lost revenue caused by doctors falling out-of-network.", "one_liner": "AI Healthcare Provider Credentialing Software", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1739432197, "tags": [ "Health Tech", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/harbera", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/harbera.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/harbera", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e6ffdce0849e290e9af29bb1746cf9441830631.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 582417, "full_name": "Sophia Clark", "title": "Founder/CEO", "founder_bio": "Building Harbera. Previously engineer at House Rx (specialty pharmacy tech startup). Engineering intern at Facebook and Bridgewater; investment analyst at Inkef Capital (European health + tech VC). Studied Computer Science at Harvard with Veronica. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sophia-c-07a508b8/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3de692d5a14c93a2c52894ee4c2eb94aa284b4d4.jpg" }, { "user_id": 1991575, "full_name": "Veronica Nutting", "title": "Founder/CTO", "founder_bio": "Building Harbera. Previously backend engineer at Stripe. Investment engineering intern at Bridgewater; ML intern at Alife Health (fertility AI startup). Studied Computer Science at Harvard with Sophia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veronicanutting/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8193fc7deffa3c6b919fed3c32b4b23562e785f0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87777, "title": "Harbera 🏥 AI healthcare provider credentialing", "tagline": "Harbera helps hospitals and clinic groups keep their doctors credentialed and compliant.", "body": "Veronica and Sophia here, we’re building Harbera. Harbera is AI software that helps healthcare organizations keep their providers - physicians, dentists, nurse practitioners - in-network with insurers and compliant.\n\n\n\n## Without credentials doctors can’t treat patients\n\nCredentialing is the bureaucratic process of verifying a providers’ qualifications and contracting them with insurance plans. The 900+ insurance companies across the U.S. have different and ever-changing credentialing requirements, and providers need to be re-credentialed regularly. \n\nKeeping providers credentialed is critical. If a provider falls out-of-network, it can take months to get credentialed again. Health systems are often unaware that a provider has fallen out-of-network until claims start getting denied, leading to disrupted patient care and billions in lost revenue.\n\n## Monitoring credentialing is hard and gets harder at scale\n\nThere’s a lot that administrators need to keep track of: updates to insurance plan requirements (often mailed), license and certification expirations, malpractice sanctions, re-credentialing timelines, and more. Today, many back-office teams at hospitals and clinic groups use spreadsheets, filing cabinets, or even repurpose tools like Salesforce to track credentialing.\n\nHere’s why monitoring is challenging for organizations:\n\n* A telehealth company that accepts 10 insurance plans and works with 100 therapists across 30 states needs to track up to 30,000 statuses.\n* A dental group working with 200 dentists needs to track 8,000 statuses. (Dentists are enrolled in over 40 insurance plans on average.)\n\n## What we’re doing\n\nWe are making credentialing easy. Our software integrates with a healthcare organization’s existing systems to continuously monitor and proactively re-credential providers across states and insurance plans. We keep administrators in the loop so providers never fall out-of-network. We make onboarding new providers seamless with real-time document validation. We analyze credentialing trends to identify revenue growth opportunities and optimize staffing.\n\n## About us\n\nWe’re best friends from college. We studied and taught Computer Science together at Harvard. [Veronica](https://www.linkedin.com/in/veronicanutting/) was a software engineer at Stripe, and [Sophia](https://www.linkedin.com/in/sophia--clark/) was a software engineer at House Rx, a specialty pharmacy software startup serving clinics across the country.\n\n## Ask\n\nDo you know health leaders that work in multi-state or multi-practice healthcare organizations, like dental support organizations (DSOs), telehealth companies, hospitals, or clinic groups? We’d love to meet them!\n\nEmail [founders@harbera.com](mailto:founders@harbera.com) to get in touch 🦡🧡\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/efe8f892-45ec-4380-b97e-d95c7791cb63)\n\n![uploaded image](/media/?type=post&id=87777&key=user_uploads/1991575/56e11f74-9f30-48e2-9872-d6dab1efd824)\n\n", "url": "https://www.ycombinator.com/launches/Mpl-harbera-ai-healthcare-provider-credentialing", "votes": 30, "created_at": "2025-02-18T15:52:16.097Z" } ] }, { "id": 30337, "name": "Paratus Health", "slug": "paratus-health", "former_names": [ "Paratus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcaf4d4e89631a63bee94c1af531a630ac0f1858.png", "website": "https://paratushealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Voice agents for outpatient facilities. ", "one_liner": "healthcare AI", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1739954707, "tags": [ "Sales", "Sales Enablement", "Digital Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paratus-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/paratus-health.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paratus-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcaf4d4e89631a63bee94c1af531a630ac0f1858.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/70/1741807853-4e74bb6851349ddc607610d367b3dd46/4d0f81547b253eff6f3f00ae0047ec04.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022726Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=ce838e0372ebfa554a87bea011581fffbf8a4a45b64c11c96fcb37310c4d9b8f", "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b044e323692159f97fcd12881fd4c38108d67922.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2004293, "full_name": "Pablo Bermudez-Canete", "title": "Founder/CEO", "founder_bio": "Digital Healthcare | Stanford CS - AI | Spain", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pablobermudezcanete?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1142e0d8482be3da770fba2914975682f4f1fb26.jpg" }, { "user_id": 1786718, "full_name": "Tannen Hall", "title": "Founder/CTO", "founder_bio": "Digital Healthcare | Stanford CS - AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tannen-hall/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22564959168e9d076dcb70069660cc92637b541f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87836, "title": "Paratus Health – Conversational Patient Intake", "tagline": "A conversational agent that prescreens patients like an intake nurse.", "body": "### **Introducing Paratus – AI-Powered Patient Intake**\n\n**TL;DR**\n\nPatients wait months for an appointment, often with no guidance or symptom tracking in the meantime. When they finally see a doctor, the first 5-10 minutes of the visit are wasted gathering history instead of diagnosing and treating.\n\n**Right now, there are only two ways to handle patient intake:**\n\n* **Static intake forms** – Miss key details, forcing doctors to play catch-up.\n* **Triage nurses** – Costly, difficult to scale, and still prone to oversight.\n\nParatus changes this. Our AI-powered intake assistant gathers symptoms, flags concerns, and delivers a structured clinical summary before the visit even starts—so doctors walk in fully informed.\n\nWatch our demo [here](https://youtu.be/KHh7fp5svY8).\n\n### **It’s Time for a New Wave of AI-Powered Intake**\n\n✅ **Conversational AI engages patients before their visit,** collecting deeper insights than any form ever could.\\\n✅ **Doctor-approved triage** – Uses **500+ Schmitt-Thompson protocols** and cross-checks medical literature.\\\n✅ **Instant structured reports** – Doctors walk in fully prepared with:\n\n* Symptom history & differential considerations\n* Next steps & testing recommendations\n* A pre-visit SOAP note for the EHR\n* A full conversation transcript for review\n\n**Think of it as a triage nurse who never misses a detail—at a fraction of the cost.**\n\n### **How It Works**\n\n1. **Instant Patient Connection** – The patient clicks an SMS link and connects with our AI assistant.\n2. **Conversational AI Consultation** – Our AI dynamically adapts to responses, uncovering key details just like a triage nurse.\n3. **Automated Pre-Visit Reports** – We run the full transcript through our fine-tuned LLM, extracting structured insights for the doctor.\n\n### **The Problem: Long Waits & Inefficient Intake**\n\n* **Months-long wait times** leave patients in limbo with no support.\n* **Doctors start visits blind**, leading to rushed decisions and missed symptoms.\n* **Triage nurses are expensive and inefficient**, yet essential for collecting high-quality data.\n\nParatus solves these problems, ensuring patients feel heard before their visit and doctors can focus on diagnosis, not data collection.\n\n### **What Patients Are Saying**\n\n_\"I called as a mother for my son’s ear pain. I was impressed by the AI’s clarity, empathy, and ability to ask the right questions. Honestly, it was better to talk to than a real nurse!\"_\n\n### **Why Us?**\n\nBest friends Tannen Hall and Pablo Bermudez-Canete, both AI students from Stanford, founded Paratus Health to fix a problem they experienced firsthand—the broken patient intake process.\n\nFor 11 years, Tannen watched his family members - and himself - grow sicker without a diagnosis for a rare disease. They endured months-long waits for every appointment, only to leave with more questions than answers. Each new doctor started from scratch, missing critical details that could have led to the right diagnosis sooner. By the time they finally got answers, it was too late to undo the damage.\n\nThat experience left Tannen frustrated with a system that forces patients to wait in limbo while their health deteriorates. He wrote about this problem in his Stanford application, and today, there is no one more determined to fix it.\n\nNow, he and Pablo are building Paratus, an AI-powered intake platform that ensures no patient is left waiting without support and no doctor walks in unprepared.\n\n![uploaded image](/media/?type=post&id=87836&key=user_uploads/1786718/3a9b560c-8f62-4376-9297-67a19ff14f04)\n\n### **Our Vision**\n\nA world where doctors walk in ready to diagnose, not gather symptoms- because every patient’s full story is already in their hands.\n\n### **Our Ask**\n\nWe’re currently running pilots and looking to connect with:\n\n* Hospitals\n* Physician offices\n* Outpatient facilities\n* Private clinics\n\nBook a demo [here](https://calendly.com/pablo-paratushealth/30min?month=2025-02)!\n\nIf you know someone who should see this, we’d love an introduction! Reach us at [pablo@paratushealth.com](https://mailto:pablo@paratushealth.com) or on [linkedin!](https://www.linkedin.com/company/paratushealth/)\n\n**Let’s fix patient intake - so doctors can focus on care.**", "url": "https://www.ycombinator.com/launches/Mqi-paratus-health-conversational-patient-intake", "votes": 94, "created_at": "2025-02-19T22:11:23.963Z" } ] }, { "id": 30457, "name": "Trapeze", "slug": "trapeze", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/899619e92df1f3c424bc3715e6b996ecc554d4a1.png", "website": "https://www.trapezehealth.com", "all_locations": "New York City, NY, USA", "long_description": "Trapeze empowers doctors to answer patient calls 24/7 with our voice agents clones of their best call center reps and receptionists. In the past 3 months, we’ve onboarded 140+ doctors nationwide serving 1,000,000+ patients.\r\n\r\nWe're building the AI-native Zocdoc to create the standard for how patients and providers find each other.\r\n\r\nFollow along on the BTS of our journey: https://www.tiktok.com/t/ZTjQyxEQx/", "one_liner": "AI-native Zocdoc", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1748462955, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trapeze", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/trapeze.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trapezehealth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/899619e92df1f3c424bc3715e6b996ecc554d4a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 403976, "full_name": "Betty Chang", "title": "Founder", "founder_bio": "Cofounder at Trapeze, AI scheduling agents for healthcare. Chief of Staff at Capable Health (built patient scheduling software!) selling first 1M ARR. Prev Roivant Health, Intel, United Nations (youngest consultant in NY).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/betchang", "x_url": "https://www.twitter.com/thebettychang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2601c07f036bfac8d8fa32ab59ea82f6ceaa3a0d.jpg" }, { "user_id": 269853, "full_name": "Christopher Chen", "title": "Founder", "founder_bio": "Cofounder @ Trapeze. 8th employee and founding engineer at Vanta (led their own first SOC 2). Tech lead at Medallion where he drove VillageMD and Oak Street Health’s credentialing. 1-time escape from Alcatraz swimmer and former SF tour guide!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrismychen", "x_url": "https://twitter.com/ChrisMYChen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee8ce44f4b6f588bcb9d6c67ec27469dec889569.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91135, "title": "Trapeze: AI-Scheduling Agents for Healthcare", "tagline": "We help doctors acquire and schedule more patients", "body": "Hey YC! We’re[ Betty](https://www.linkedin.com/in/betchang/) and[ Chris](https://www.linkedin.com/in/chrismychen/), and we’re building[ Trapeze](https://www.trapezehealth.com/).\n\n## **TL;DR**\n\nWe’re already helping hundreds of doctors acquire and schedule more patients with our AI voice agents that handle appointments over the phone (how 88% of patients still schedule today!).\n\nAsk: Do you know any eye care doctors or healthcare administrators struggling with their phone calls? Email [betty@trapezehealth.com](mailto:betty@trapezehealth.com). \n\n\\\nhttps://www.youtube.com/watch?v=8ExU-yIiIpg\n\n## **Problem**\n\n61% of patients miss out on essential appointments each year due to scheduling hassles, costing our healthcare system $280B annually. \n\nWe’re starting by tackling where 88% of patient appointments are scheduled and managed today: the phone.\n\nDoctors have a hair-on-fire problem managing their call centers and front desks. They’re expensive to run and have high turnover rates, which leads to long hold times and high abandonment rates — and ultimately lost patients. For example, our customers have the call center as a multi-million dollar annual expense, and are seeing 20%+ abandonment rates.\n\n## **Solution**\n\nTo solve this, we’re building AI voice agents that can be deployed to act as a doctor’s best scheduler with:\n\n* Our scheduling rules engine structuring doctor-specific rules across .pdfs, EHRs, paper, tribal knowledge\n* AI voice agents that handle intake, insurance verification, and slotting integrated with the EHR and telephony system\n* Admin portal and dashboard that provides visibility into patient call resolution gaps\n\n## **Team**\n\nThe Trapeze founding team has spent their careers solving patient and doctor problems:\n\n* [Betty](https://www.linkedin.com/in/betchang) was the first business hire at Capable Health, where she managed 100+ specialty clinics, built out their patient scheduling and engagement strategies, and closed their first $1M ARR.\n* [Chris](https://www.linkedin.com/in/chrismychen) was the 8th employee and founding engineer at Vanta and then tech lead at Medallion where he built and scaled back office automations for healthcare enterprises like Oak Street Health and VillageMD.\n\n ![uploaded image](/media/?type=post&id=91135&key=user_uploads/269853/9a8e41dc-4c9a-4efa-8c4c-d3d478799322)\n\n\n## **Our Ask**\n\n* Follow us on[ LinkedIn](https://www.linkedin.com/company/trapezehealth/) and[ TikTok](https://www.tiktok.com/@trapezehealth)!\n* Do you know any eye care doctors or healthcare administrators? Share our post!\n* Check us out at[ trapezehealth.com](http://trapezehealth.com)\n\n ", "url": "https://www.ycombinator.com/launches/Nhv-trapeze-ai-scheduling-agents-for-healthcare", "votes": 42, "created_at": "2025-06-09T06:07:57.116Z" } ] }, { "id": 30529, "name": "Adentris", "slug": "adentris", "former_names": [ "Wrkdn", "Work Done (WRKDN)", "Wrkdn", "WorkDone", "WorkDone Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "website": "https://www.adentris.com", "all_locations": "San Francisco, CA, USA", "long_description": "US healthcare providers lose billions every year to denied claims, most of them traced back to documentation and coding gaps no one catches until the payer says no. Adentris is an AI revenue integrity platform that catches them first. Our AI agents read EHR and payer interfaces directly, no API integration required, across five modules: documentation, coding QA, prior authorization, appeals and denials, and discharge summaries. And for providers that don't have their own CDI or billing teams, we run billing as a service on top of the platform.", "one_liner": "Real-time AI Compliance & Revenue Integrity for Medical Providers", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1745803962, "tags": [ "Health Tech", "B2B", "Compliance", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "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": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adentris", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/adentris.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adentris", "x_url": "https://x.com/adentris_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/adentris", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/299342dc68e4bc077a079313853d9982af12d81d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/71/1749668852-05937d8d75ff250a7e1f4d32510d1be8/82817e6eb1b4d4ddacffa47b2931bd7b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022728Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=967e8bf9e64c758ef4e8787f971bba85552cca09ee6459561d6da1c2b6a9a531", "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 379085, "full_name": "Dmitry Karpov", "title": "Founder/CEO", "founder_bio": "Founder WorkDone, we find and fix mistakes in medical documentation before they become problems for insurance claims or patient lawsuits ", "is_active": true, "linkedin_url": "https://linkedin.com/in/dmitrykarpov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dac25fdca1d006fc4383abd3d0be2e7b0e93190.jpg" }, { "user_id": 2641787, "full_name": "Alex Odin", "title": "Founder/CTO", "founder_bio": "3x Founder. Now building Adentris — AI for healthcare operations. Launched 4 weeks ago, already at $55K ARR from 3 clinics, with $500K ARR pilots in progress.\n\nPreviously led AI at ManyChat ($140M+ ARR), founded Skipp (scaled to $7M ARR, raised $2.8M), and built Lingualeo (20M+ users).\n\nDeep product, AI, and GTM focus — from 0 to 10x.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/odinalex/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5ded716aa3adaf221c5f12f78c99e3797ef9798.jpg" }, { "user_id": 405697, "full_name": "Sergey Yudovskiy", "title": "Founder/CPO", "founder_bio": "2x YC Founder. Building Adentris to bring AI-driven systems into healthcare operations - a personal mission inspired by the legacy of my fully medical family. As a mathematician, I bring a data-driven, systems approach to product development and GTM strategy.\n\nPreviously, I led ElectroNeek (W20) as CEO, scaling it to ~$5M ARR. Built a global B2B distribution and partnership network across 30+ countries (North & South America, Europe, Asia), and disrupted the RPA market with a novel GTM playbook.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yudovskiy", "x_url": "https://twitter.com/SergeyYudovskiy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7da84bfdf132133d48f3c0f5b778cfd2c6a6a515.jpg" } ], "jobs": [ { "id": 106477, "title": "Director of Product, RCM Services, Healthcare", "url": "https://www.ycombinator.com/companies/adentris/jobs/z2nYYnN-director-of-product-rcm-services-healthcare", "location": "Austin, TX, US / Denver, CO, US / Phoenix, AZ, US / Reno, NV, US / Los Angeles, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "\n Adentris Completes Major AI Compliance Deployment at Sobrius, Putting Over 100 Active SUD Patients Under Review\n \n", "url": "https://www.einpresswire.com/article/913893048/adentris-completes-major-ai-compliance-deployment-at-sobrius-putting-over-100-active-sud-patients-under-review", "date": "May 20, 2026" }, { "title": "\n Adentris Expands AI Platform with Five New Modules Covering the Full Revenue Integrity and Compliance Workflow\n \n", "url": "https://www.einpresswire.com/article/913896386/adentris-expands-ai-platform-with-five-new-modules-covering-the-full-revenue-integrity-and-compliance-workflow", "date": "May 20, 2026" }, { "title": "\n Adentris Selected for Creative Destruction Lab Computational Health Program to Scale AI-Driven Compliance in Healthcare\n \n", "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare", "date": "Oct 21, 2025" }, { "title": "\n WorkDone Health Rebrands as Adentris and Launches Acute Care Solution for Real-Time Quality and Compliance Monitoring\n \n", "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring", "date": "Sep 18, 2025" } ], "launches": [ { "id": 90201, "title": "Adentris – AI compliance autopilot 👨‍⚕️ for hospitals and clinics 🏥", "tagline": "Adentris helps hospitals avoid denials, audits, and fines by catching and fixing documentation errors in real time.", "body": "Hi! We’re [Dmitry](https://www.linkedin.com/in/dmitrykarpov/), [Sergey](https://www.linkedin.com/in/yudovskiy/), and [Alex](https://www.linkedin.com/in/odinalex/) — co-founders of [Adentris](https://www.adentris.com/).\n\n**TL;DR:**\n\nEvery year, **250 million insurance claims — worth billions of dollars — are denied due to documentation errors**. Many are never recovered. We connect directly to hospital EHRs, monitor clinical staff activity logs in real time, and use AI agents to detect and fix compliance issues before they become risks. **Since the beginning of YC, we’ve reached $54k ARR** and have a growing number of commercial pilots with hospitals and clinics across the U.S. and PoCs with healthcare enterprises.\n\nhttps://www.youtube.com/watch?v=PrcEY8WgmSk\n\n**Problem:**\n\nOne small documentation mistake — like recording a medication time incorrectly — can destroy a family’s finances.\n\nThese errors are often made by exhausted clinicians after 12-hour shifts and are caught by automated insurance systems that instantly deny the claim.\n\n**Hospitals don’t discover the problem until it's too late** — after the claim is denied, the audit triggered, or the reputation damaged.\n\nDocumentation errors are the invisible threat in modern healthcare. They’re not caused by negligence, but by broken systems: cluttered interfaces, overworked staff, and legacy EHRs that make it easy to click the wrong time, forget a discharge note, or miss a required signature.\n\n**And it’s not just claims** — these small errors lead to failed audits, regulatory fines, delayed discharges, and increased burnout.\n\nHospitals end up with compliance teams that are reactive — chasing mistakes days or weeks after they happened, often without resolution. The cost isn’t just money. It’s morale, trust, and patient safety.\n\n**Solution:**\n\nAdentris is an AI compliance autopilot that prevents small documentation errors from becoming costly disasters in real time.\n\nWe integrate directly with hospital EHRs, monitor clinical activity in real time, and use AI agents to detect and fix issues — like missed discharge notes or wrong medication times — before they trigger claim denials or audits.\n\nWhen a problem is found, our AI opens a quick conversation with the responsible staff member to confirm and correct it immediately.\n\n**We don’t just alert**. We resolve — and help hospitals run smoother, reduce pressure on teams, and recover revenue that would otherwise be lost.\n\n**What Experts Are Saying:**\n\n\"Adentris’s proactive approach is a game‑changer in reducing preventable errors and enabling real‑time accountability in care delivery.”\n\n— [Joel N.H. Stern, PhD](https://www.linkedin.com/in/joel-n-h-stern-07a4342/)\\\nProfessor of Neurology & Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell\n\n**Team:**\n\n[Dmitry](https://www.linkedin.com/in/dmitrykarpov/) (CEO) and [Sergey](https://www.linkedin.com/in/yudovskiy/) (CPO) are second-time YC founders with a strong track record in building B2B enterprise products and go-to-market channels. Sergey comes from a full medical family and has deep personal ties to the problems we're solving in healthcare. [Alex](https://www.linkedin.com/in/odinalex/), (CTO), is a seasoned engineer who built apps used by 25M+ people worldwide and led the development of a full AI agent architecture at his previous multimillion-dollar startup.\n\n**Asks:**\n\nWe're actively looking to connect with:\n\n* **Hospital executives and clinic owners** who want to stop losing revenue to preventable compliance errors and team burnout \n* **Providers' CFOs and compliance leaders** who are tired of fighting with clinical staff over documentation and want a system that just works\n* **Medical institution advisors and operators** who care about transforming broken workflows\n* **Reporters and storytellers** covering the untold side of healthcare — the back office chaos that leads to financial disaster\n\nIf you're building, reporting on, or fighting to fix this problem — DM us, email us at [founders@wrkdn.com](mailto:founders@wrkdn.com), or grab 15 minutes with us here [Book a call](https://calendly.com/d/cnpv-x29-nzc/workdone-demo).\n\nLet’s save healthcare from the inside out.", "url": "https://www.ycombinator.com/launches/NSr-adentris-ai-compliance-autopilot-for-hospitals-and-clinics", "votes": 345, "created_at": "2025-05-08T14:04:33.170Z" } ] }, { "id": 30533, "name": "Pelica", "slug": "pelica", "former_names": [ "Cue", "Delty AI", "Delty" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/01b4aaee846929d39e6331c0fdbf8fdf6ea08da6.png", "website": "https://www.pelica.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Pelica helps risk-bearing healthcare organizations improve quality performance, close care gaps, and lower administrative cost using specialized AI agents. Built for health plans, IPAs, MSOs, ACOs, and risk-bearing medical groups, Pelica unifies claims, EHR, pharmacy, lab, and ADT data into one live member record, then gives quality, risk adjustment, pharmacy, provider network, and care management teams agents that carry work through to completion. Pelica currently serves more than 350,000 members.", "one_liner": "AI agents for risk-bearing healthcare organizations", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1746945144, "tags": [ "B2B", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pelica", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/pelica.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pelica-health", "x_url": "https://x.com/pelica_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/01b4aaee846929d39e6331c0fdbf8fdf6ea08da6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3592a4cddd99c429a1de41b044ad4421f8715704.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1494518, "full_name": "Lalit Kundu", "title": "Founder/CEO", "founder_bio": "building healthcare's AI operating system\n\nPreviously grew to Staff Engineer at Google within 6 years, where I led a 45+ engineer org to deliver $XX-B ARR solutions. Before that, I built core payments infrastructure for Google Pay India.\n\nProgrammer at heart, ACM-ICPC World Finalist and coach for India’s IOI team (8 medals).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lalitkundu", "x_url": "https://x.com/lalitkundu_lk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c49bb02edfac8334428f26fd9054e287fbf8eb19.jpg" }, { "user_id": 365863, "full_name": "Catherine Zhao", "title": "Founder/COO", "founder_bio": "Building Pelica.\n\nPrev Google APM & SWE (building YouTube, ChromeOS, image & video GenAI infra, enterprise AI agents). Always volunteering in healthcare (clinical research, memory care, medical assistant at a free clinic). And the first job I ever got paid to do was a caricature artist at an amusement park!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cat-catherine-zhao", "x_url": "http://x.com/cthrnzh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8e37abb070b42100857cbdd9d26a87ead838541.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103962, "title": "Pelica: the AI operating system for value-based care", "tagline": "AI agents that capture the risk, close the gaps, and make the calls, so small teams can keep whole populations healthy.", "body": "Hey everyone 👋 We’re Lalit and Catherine, co-founders of Pelica Health.\n\n## **TL;DR**\n\nPelica is the AI operating system for value-based care. We pull claims, EHR, pharmacy, lab, and hospital feeds into **one canonical record**, then run AI copilots that read and write to it: risk adjustment, Stars and quality, pharmacy, provider network, and care management, plus an AI data analyst you can ask anything in plain English. The copilots **do the operational work themselves**: capturing HCCs in real time, closing gaps once across every payer, and making outreach calls in the member’s language. HIPAA-compliant, SOC 2 Type II, and RADV-defensible.\n\nWe’re live with a physician-led IPA in New York, one of the largest independent medical groups in the Northeast: **2,500+ hours saved** and higher CMS Star Ratings so far.\n\n▶️ Watch their story: \n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/e873acc4-f206-4eca-8617-9bf7f70f3b62)\n\n_An AI agent works one gap end to end: provider office, pharmacy, the member in their language, the payer portal, then a live call. Closed in 3 minutes of staff time._\n\n## **🚩 The problem**\n\nValue-based care pays a medical group or health plan to keep a whole population healthy, and billions in CMS bonuses ride on it. The teams who own those contracts decide whether the org makes money, and they cannot operate:\n\n• Their data lives in 8 to 15 systems. By the time a problem surfaces, the submission window has closed.\n\n• Risk calls a member. Quality calls the same member. The practice calls again, sometimes in a language the member doesn’t speak.\n\n• The best predictive model is worthless if it never reaches the provider.\n\n• The rules keep moving. Hybrid HEDIS is retiring into ECDS volumes many times higher per measure, and the V28 phase-in costs the average MA plan about 3% of RAF.\n\nEvery new gap gets a new point vendor, each with its own portal, data model, and login. These teams do not need another point tool. They need an operating system.\n\n## **🛠️ What we built**\n\nOne canonical record, with an AI workforce next to every team. Six copilots:\n\n• **Risk Adjustment:** real-time HCC capture with trumping logic and RADV-defensible chain of custody on every code.\n\n• **Quality and Stars:** gap closure unified across every payer, with year-round forecasting for the post-hybrid HEDIS world.\n\n• **Pharmacy and Part D:** PDC lift on the three triple-weighted measures that move Stars the most.\n\n• **Provider Network:** auto-built practice agendas that cut meeting prep from 90 minutes to 15.\n\n• **Care Management:** ADT-driven transitions-of-care worklists, with no duplicate calls across teams.\n\n• **AI Data Analyst:** plain-English questions against the record, in place of the BI ticket queue.\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/13a2d9aa-5ac8-4ab4-bf2c-b61fe8bccb56)\n\n_Risk Adjustment: the agent works the EHR and payer portals like a person and captures a defensible HCC._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/cfb57b8c-bf75-43d1-9dc3-d29da891d8e9)\n\n_AI Data Analyst: ask your RAF in plain English, get an answer and a chart in seconds._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/4bbf9afb-abc0-4221-9e5b-bf4602654e32)\n\n_Provider Network: reps walk in prepped, and the visit is captured into tasks automatically._\n\nIt runs on the systems VBC teams already use: Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, and labs, with SMART-on-FHIR overlays in Epic and Athena. A new source onboards in days, and the copilots start working the day after.\n\n## **📈 Early proof**\n\nThat physician-led IPA went from three uncoordinated calls per member to one outreach, in the right language, that closed three gaps at once. No new headcount. One of their leaders put it simply: “You don’t just get software, you get partners.”\n\n## **👫 Why us**\n\nCatherine and I met at YouTube and have built large-scale systems together since. We saw the same gap from two sides: clinical AI that could not operate, and operations software that could not reason clinically.\n\n• **Catherine** led AI work on Gemini and enterprise agents at Google, did clinical AI research at Stanford School of Medicine, and saw front-line care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n• **Lalit** spent 8 years building software for regulated industries at Google and YouTube, most recently as engineering and ML lead on YouTube Payments, running a 45-person team on products driving $16B+ in revenue. Wharton MBA, ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n## **🙏 Our ask**\n\n• Warm intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n\n• Intros to ACO executive directors running MSSP or REACH.\n\n• If you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at cal.com/pelica/pelica.\n\nFollow us on [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7475922350316732416/) and [X](https://x.com/cthrnzh/status/2070159740295160294), and learn more at [pelica.com](http://pelica.com).", "url": "https://www.ycombinator.com/launches/R2o-pelica-the-ai-operating-system-for-value-based-care", "votes": 7, "created_at": "2026-06-25T15:23:01.235Z" }, { "id": 90407, "title": "Pelica - the operating system for value-based care", "tagline": "Transform Value Based Care with AI Agents", "body": "Hey everyone 👋 we're [Lalit](http://linkedin.com/in/lalitkundu) & [Catherine](http://linkedin.com/in/cat-catherine-zhao), co-founders of [Pelica Health](https://pelica.com).\n\n## TL;DR\n\n**🚀 Pelica is the operating system for value-based care.** One canonical record across claims, EHR, pharmacy, lab, and ADT, with six AI copilots reading and writing to it. Risk adjustment, Stars, pharmacy, network, care management, plus an AI Data Analyst. HIPAA-compliant, RADV-defensible, real-time.\n\nUse Pelica to:\n\n* Capture HCCs in real time, before the submission window closes\n* Close Stars gaps once, across every payer, with no duplicate outreach\n* Lift PDC on the three triple-weighted measures that move Stars more than anything else\n* Replace 8 to 15 point vendors with one shared record\n* Cut per-practice meeting prep from 90 minutes to 15\n\n**VBC teams using Pelica run risk, quality, pharmacy, and care management from one record**. A physician-led IPA in New York went from three uncoordinated calls per member to one outreach in the right language that closed three gaps at once. No new headcount.\n\nIf you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at [cal.com/pelica](https://cal.com/pelica/pelica-demo).\n\n## 🚩 The Problem\n\nVBC teams own the contracts that decide whether the org makes money. They cannot operate. Today:\n\n* Data lives in 12 places. By the time a problem surfaces, the submission window has closed.\n* Risk calls a member. Quality calls the same member. The practice calls again. Sometimes in a language the member doesn't speak.\n* The best predictive model is useless if it never reaches the provider.\n* Hybrid HEDIS is retiring. ECDS volumes run 35 to 75 times higher per measure. The old infra was not built for it.\n* V28 phase-in finishes in 2026. The average MA plan loses roughly 3% of RAF.\n\nPoint vendors keep stacking up. One for retrospective coding. One for HEDIS. One for adherence. One for ADT. Each with its own portal, its own data model, its own login.\n\nVBC teams need more than another point tool. They need an operating system.\n\n## 🛠️ Our Solution\n\nWe built Pelica, an AI operating system for value-based care. Three layers, six copilots, one canonical record.\n\n* **🌐 HIPAA + SOC 2 Type II:** Tenant-isolated, encrypted end-to-end, zero-retention with every LLM provider in use.\n* **🔌 Connects to every system:** Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, labs. SMART-on-FHIR overlays in Epic and Athena.\n* **⚡ Live in weeks, not quarters:** A new data source onboards in days. Copilots start working the day after.\n\nWhat Pelica can do:\n\n* **🧾 Risk Adjustment Copilot:** Real-time HCC capture with trumping logic, MAO-004 awareness, and RADV-defensible chain-of-custody on every code.\n* **⭐ Quality & Stars Copilot:** Unified gap closure across every payer, with year-round glide-path forecasting for the post-hybrid HEDIS world.\n* **💊 Pharmacy & Part D Copilot:** PDC lift on the three triple-weighted measures. The 5 points that separate 4-star from 2-star.\n* **🤝 Provider Network Copilot:** Auto-generated practice agendas. Meeting prep from 90 minutes to 15.\n* **🏥 Care Management Copilot:** ADT-driven TOC worklists, 5-day follow-up tracking, no duplicate calls across teams.\n* **📊 AI Data Analyst:** Plain-English questions against the canonical record. Replaces the BI ticket queue.\n\nA Director of Risk Adjustment told us: \"**Our data lives in twelve places. By the time we know there's a problem, the submission window has closed**.\" A Stars Program Manager told us: \"We are solving the same problem five times.\" Same root cause. One shared record fixes both.\n\n## 👫 The Team\n\nCatherine and Lalit met at YouTube and have been building large-scale systems together ever since. They saw the same gap from two sides: clinical AI that could not operate, and operations AI that could not reason clinically.\n\n**Catherine led AI work on Gemini and enterprise AI agents at Google**. She did clinical AI research at Stanford School of Medicine and saw front-line patient care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n**Lalit spent 8 years building software for regulated industries at Google and YouTube**. He was Engineering and ML lead on YouTube Payments, running a 45-plus person team in Commerce Billing on products driving $16B+ in revenue. Wharton MBA. ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n![uploaded image](/media/?type=post&id=90407&key=user_uploads/1494518/dc1935e3-d2b0-4d83-9f63-b5cd8ae73e7b)\n\n## Asks\n\n* Intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n* Intros to ACO executive directors running MSSP or REACH.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/pelica-health), [X](https://x.com/pelica_health), and learn more at [pelica.com](https://pelica.com).", "url": "https://www.ycombinator.com/launches/NWB-pelica-the-operating-system-for-value-based-care", "votes": 108, "created_at": "2025-05-15T04:56:03.275Z" } ] }, { "id": 30557, "name": "Aegis", "slug": "aegis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36103b40de751e5ec5889840f60eec43dc493e69.png", "website": "https://aegishealth.us/", "all_locations": "San Francisco, CA, USA", "long_description": "Aegis is the all-in-one platform that helps healthcare providers recover lost revenue by automating insurance denial appeals—from intake to resolution. Built for billing teams, healthcare providers and hospitals.", "one_liner": "AI Agents to win denied health insurance claims.", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1745980735, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Krishang and Aarav have been roommates for two years and close friends since day one of college, and all 3 of us have been closest friends since freshman year. The idea for Aegis came when Aarav’s anesthesia claim was denied. He spent weeks trying to appeal it—time and energy that should’ve gone toward recovery, not bureaucracy. That’s when we realized how broken the system was. We started building Aegis in February to fix it." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Healthcare providers lose over $260 billion a year to denied insurance claims—and spend another $20 billion just trying to recover that money. It's a massive operational drain that takes time away from patient care and burns out clinical teams.We’re solving this by helping providers focus on care, not red tape. We experienced this problem firsthand and realised how deeply broken the system is—and how little innovation is aimed at fixing it." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "A world where healthcare providers get paid what they’ve earned—quickly, fairly, and without friction. If we succeed, hospitals will have more time and money to invest in care, not paperwork. Providers can focus on healing, not haggling. And patients won’t have to fight to receive health insurance benefits while they are recovering for care." } ], "url": "https://www.ycombinator.com/companies/aegis", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/aegis.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aegis-yc-x25/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36103b40de751e5ec5889840f60eec43dc493e69.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2548802, "full_name": "Krishang Todi", "title": "Founder/CEO", "founder_bio": "Passionate about leveraging AI in healthcare and finance. Currently developing an automated claim-denial appeal generation platform for healthcare providers. Studied economics and computational finance at Carnegie Mellon University prior to building Aegis", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krishang-todi-a6525b135/?trk=opento_sprofile_details", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e2a28b7332f7da8503d638e976ddcabdd54de9c.jpg" }, { "user_id": 1176849, "full_name": "Aarav Bajaj", "title": "Founder/CTO", "founder_bio": "Graduated CS/AI at Carnegie Mellon. Building AI Agents to win denied insurance claims. Previously Co-authored AI research, built an enterprise AI platform for Parsons Corporation, a $7B+ public company, and worked at Palantir.\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarav-bajaj-408ab01b1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dbf4518da9ce780ebdc093a7fdb00c8d8221239.jpg" }, { "user_id": 2684885, "full_name": "Dhanya Shah", "title": "Founder", "founder_bio": "Building AI to fight healthcare insurance denials.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhanya-shah-97878835b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2077bbac6a02798b19a1c04de846ff9ec02a5d58.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator’s spring 2025 batch features 70 startups focused on agentic AI - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/y-combinators-spring-2025-batch-features-70-startups-focused-on-agentic-ai/articleshow/121860763.cms?from=mdr", "date": "Jul 01, 2025" }, { "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider", "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6", "date": "Jun 11, 2025" } ], "launches": [ { "id": 90624, "title": "Aegis - AI Revenue Recovery Engine for Healthcare Providers", "tagline": "Aegis automates the process of appealing insurance denials for healthcare providers", "body": "We’re [Krishang Todi](https://linkedin.com/in/krishang-todi-a6525b135), [Aarav Bajaj](https://linkedin.com/in/aarav-bajaj-408ab01b1) , and [Dhanya Shah](https://linkedin.com/in/dhanya-shah-97878835b) and we’re building [Aegis.](https://aegishealth.us)\\\n💥 **TL;DR:** \\\nAegis **automates the insurance appeals** **process end-to-end**: from denial detection and compliant appeal generation to submission, tracking, and actionable analytics. We integrate with EHRs, clearinghouses, and payer portals, helping providers and medical billing firms **recover lost revenue and save significant staff time.**\n\n[Launch Video](https://youtu.be/6AYEhYpMjBQ)\n\n\\\n**🩺 The Problem** \\\nUS healthcare providers lose **$260B+** annually to denied claims, and spend **$20B+** fighting them. Yet **fewer than 15%** of denials are appealed - even though **over 50%** of appeals are successful. With AI-driven denials on the rise, the system is collapsing under its own weight.\n\nThe current process of fighting a denial is manual, time-consuming and riddled with inefficiencies. \\\n\\\n🧠 **The Solution** \\\nAegis plugs into a provider’s existing data stack (EHR, PMS, clearinghouses) to:\n\n* **Detect denials automatically:** Aegis continuously monitors claims data streams from your clearinghouse and instantly flags denied claims without requiring manual intervention. These denied claims are then arranged by priority based on deadline and claim value.\n* **Pull patient records, EOBs, and payor docs:** Aegis integrates with the EHR to fetch supporting materials, such as patient records, Explanation of Benefits (EOBs), and payer correspondence.\n* **Generate and submit appeal packages:** Using AI trained on successful appeal language and payer requirements, Aegis drafts customized appeal letters, compiles required documentation, and submits the appeal directly to the insurance provider via appropriate channels (fax, portal, or clearinghouse).\n* **Track appeal progress and surface denial insights:** Aegis provides end-to-end tracking of every appeal, including submission confirmation, status updates, and final resolution. Over time, it also analyzes patterns in denials- by payer, procedure, provider, and code- to help providers take proactive steps to reduce future denial rates.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/a6415c5b-f49e-407a-ae34-dc0f3af6833e)\n\nWe cut the cost of appealing a denial by **80%** and reduce the time to file an appeal from **2+ hours to under 2 minutes**.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/65b5d60c-b1ca-4c93-9522-eb4cff454dee)\n\n👥 **Team**\n\nWe’re a team of three close friends from Carnegie Mellon University with deep, complementary expertise across AI, finance, and full-stack development- built for solving complex problems like healthcare claims. Aarav (CS + ML) brings AI research experience and worked at Palantir, where he helped deploy data-driven solutions at scale. Krishang (Econ + Math) did fixed-income risk modeling at one of India’s top funds. Dhanya (IS + CS) is a seasoned full-stack engineer who’s built production systems at three companies. Together, we’re building Aegis to bring automation, intelligence, and trust to healthcare appeals.\n\n![uploaded image](/media/?type=post&id=90624&key=user_uploads/2684885/14e2b315-9c6c-44df-af7a-9debc2a477ae)\n\n**🙏 How You Can Help** \\\nConnect us to:\n\n* CFOs at hospitals / MSOs\n* Healthcare leaders open to advising\n* Independent practice owners\n* Founders who’ve sold into the RCM stack\n\nPlease shoot us an email at [founders@aegishealth.us](mailto:founders@aegishealth.us).", "url": "https://www.ycombinator.com/launches/NZg-aegis-ai-revenue-recovery-engine-for-healthcare-providers", "votes": 192, "created_at": "2025-05-22T12:42:12.562Z" } ] }, { "id": 30623, "name": "Playgent", "slug": "playgent", "former_names": [ "Pharmie AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ad8d62052816b9ab3349fc92ba2137b2b1edb02.png", "website": "https://useplaygent.com", "all_locations": "San Francisco, CA, USA", "long_description": "When enterprise agents fail in production, the conditions that caused the failure are critical: user state, data, tool calls, and context. Without a way to recreate these conditions, teams can't fix what broke.\r\n\r\nPlaygent provides infrastructure to create high-fidelity sandbox environments for AI agents. Our environments come packaged as a single MCP url where tool calls are mocked, authentication is abstracted away, and test data can be initialized via natural language or JSON specifications.\r\n\r\nTeams can use Playgent to reproduce production failures in safe, scoped environments that accurately reconstruct state. Finally, export runs as OTel traces from Playgent's environment to plug directly into your observability tools or RL pipelines.", "one_liner": "Sandboxes for AI agents", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1754457298, "tags": [ "SaaS", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/playgent", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/playgent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/useplaygent", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ad8d62052816b9ab3349fc92ba2137b2b1edb02.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2671843, "full_name": "Neer Jain", "title": "Founder/CEO", "founder_bio": "Hey I'm Neer, cofounder of Playgent. We're building an Sandboxes for Agents!\n\nIn college, I studied Math, Business, and CS at UT Austin and worked in product and engineering roles at multiple early stage AI startups. At Visa, I launched features used by thousands of banks and built internal tools.\n\nFeel free to reach out -- neer@useplaygent.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neer-jain/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27de95e4ccb8ea8f4a00c5acf84b72064dbd0cdd.jpg" }, { "user_id": 969465, "full_name": "Aniruddh Sriram", "title": "Founder/CTO", "founder_bio": "Hi! I’m Aniruddh - co-founder of Playgent! We are building sandboxes for AI agents. I did 4 years of NLP research with publications in EMNLP/ACL and was on-route to pursue a PhD when I decided to join YC.\n\nIn my free time, I like writing articles on Medium, playing basketball, and doing acrylic art.\n\nYou can reach me at aniruddh@useplaygent.com!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aniruddh-sriram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f137d83046edc10cc83d2700771d9c031fb2cbfa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 92806, "title": "Pharmie AI - Your AI Pharmacy Technician", "tagline": "AI voice/text agents that handle pharmacy admin so staff don’t have to", "body": "We’re excited to share Pharmie, an AI assistant for pharmacists. Check out our [launch video](https://youtu.be/pFKd8YJ6vsQ) and [website](https://www.pharmie.app/)!\n\n**The Problem**\n\nPharmacies are overwhelmed with phone calls about refills, insurance questions, chasing doctors, and handling appointment logistics. This nonstop volume creates constant interruptions, forcing pharmacists and technicians to multitask and context-switch throughout the day. As a result, staff burn out quickly, turnover is high, and time is lost retraining replacements.\n\n**What’s Pharmie?**\n\n**Pharmie is your always-on AI pharmacy assistant.** It never gets tired, works autonomously, and plugs directly into your pharmacy management system to streamline communication and boost efficiency.\n\nPharmie can:\n\n* **Answer inbound calls 24/7:** no more missed calls or hold times\n* **Process refills, transfers, and appointments:** fully automated, no staff intervention needed\n* **Verify insurance and handle patient questions:** from copays to medication availability\n* **Upsell pharmacy services:** intelligently offers vaccines, delivery, or sync programs based on the conversation and patient history\n\n**How It Works**\n\nPharmie seamlessly integrates with your existing pharmacy management system (PMS) to automate phone calls, refills, and patient communication.\n\nDuring onboarding, we work closely with you to:\n\n* Connect to your PMS or set up secure workflows if a direct integration isn’t available\n* Give Pharmie pharmacy-specific information like store hours, address, staff names, services offered, and policies\n* Train Pharmie on your workflows (e.g. how you handle refills, transfers, insurance, and voicemails)\n* Customize messaging for promotions, vaccine reminders, and targeted outreach campaigns\n* Set up call routing and escalation rules to transfer to your team when needed\n\nWe’re already in production at 4 locations, cutting phone volume by 70% and helping teams focus on patient care instead of call chaos.\n\n**The Team**\n\nAniruddh and Neer met freshman year of high school and instantly bonded over their love for math and science. Since then, they’ve worked on all types of projects together from personal gadgets to sophisticated sports betting models that generated 6-figure profit.\n\n![uploaded image](/media/?type=post&id=92806&key=user_uploads/2671843/472d3c8e-7a05-494f-8149-e7fdd21b5942)\n\nIf you know a pharmacist or work with pharmacies, shoot us a message at [**founders@pharmie.app**](mailto:founders@pharmie.app)", "url": "https://www.ycombinator.com/launches/O8s-pharmie-ai-your-ai-pharmacy-technician", "votes": 43, "created_at": "2025-08-07T00:47:21.168Z" } ] }, { "id": 30734, "name": "Avelis Health", "slug": "avelis-health", "former_names": [ "Avelis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9759643303306b86f190396a0aa959a693947140.png", "website": "https://avelishealth.com", "all_locations": "New York City, NY, USA", "long_description": "𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬:\r\nI (Angel) have had three knee surgeries since my mid-teens and was billed more than $250K for care that should have cost a fraction of that. Fighting those inflated charges was so painful that we set out to build a consumer-facing AI agent to do it for others. In less than five months, we helped sixty patients erase or reduce over $300K from their medical bills.\r\n\r\nThis inspired us to fix the problem farther upstream: stopping bad payments before the patient ever sees a bill. So we launched payment integrity, machine-learning models that audit every medical claim for self-insured employers and health plans in real time.\r\n\r\n𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦:\r\n• Self-insured employers waste $60 B+ each year on claims that never should have been paid. Healthcare is the 2nd largest company expense after payroll.\r\n\r\n• Manual audits are slow and partial: Reviewers focus only on high-dollar claims, letting millions more slip through unnoticed.\r\n\r\n• Existing audit software is static: Decades-old rule engines can’t keep pace with evolving codes, contracts, or billing tactics.\r\n\r\n• Incentives are misaligned: Third-party administrators are paid to process claims, not to police them, so accuracy checks are minimal.\r\n\r\n𝐎𝐮𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧:\r\nOur models audit medical claims before and after payments have been issued. We catch nuanced billing, coding, and contract errors to save 3-7% on annual claims spend. We work with self-insured employers and health plans.\r\n\r\n𝐀𝐛𝐨𝐮𝐭 𝐔𝐬:\r\nAngel Onuoha (CEO) and Ahmad Shehu (CTO) have worked together for 4 years. Before Avelis Health they built Zuvy, a Lagos-based fintech company that provided invoice factoring to small businesses. Zuvy was acquired by The BAS Group in 2025.", "one_liner": "We audit medical claims for self-insured employers and health plans.", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1753718864, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/avelis-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/avelis-health.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avelis-ai/", "x_url": "https://x.com/AvelisHealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9759643303306b86f190396a0aa959a693947140.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0c962fb11773bdfd1778ff8fb120a0e8dca4c3f9.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 999956, "full_name": "Angel Onuoha", "title": "Founder/CEO", "founder_bio": "Angel is a 3x founder, Harvard alum, and previous PM @ Google. He is currently building AI agents to audit medical claims for self-insured employers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angel-onuoha/", "x_url": "https://x.com/angelonuoha7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc21490b61bf15f3cce4e493458911473760f5f.jpg" }, { "user_id": 543034, "full_name": "Ahmad Shehu", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO @ Avelis\nAhmad is a 3x founder and full-stack builder with a deep appreciation for craft. He has shipped products from zero to one across the entire stack and led the teams behind them, driven by the conviction that things worth building are worth building well, and that consistent progress compounds into big outcomes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmad-shehu/", "x_url": "https://x.com/ahmxrd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bfc10c83e671549ec05d87caafad84b0bcfeba5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93135, "title": "Avelis Health ⚔️ Preventing overpayments on medical claims", "tagline": "We audit medical claims for self-insured employers and health plans", "body": "TL;DR: We build AI agents to audit medical claims and identify errors due to coding, billing, and contract violations. Our voice agents automate the process of requesting medical records and recovering overpaid claims from providers.\n\nhttps://youtu.be/gL5IFvnwf6g\n\n**The Problem**\n\n* Self-insured employers and health plans lose $100B+ annually to overpayments on medical claims\n* Legacy audit systems only sample high-dollar claims, missing systematic errors\n* Patients pay the price with higher premiums, reduced coverage, and larger out-of-pocket expenses\n\n**The Solution**\n\n* Machine Learning: Our models review 100% of claims to identify errors and patterns over time\n* Voice AI: We automate the process of medical record retrieval with voice agents\n* Clinical validation with LLMs: Our AI agents review medical records to validate what was actually billed\n* Prevention & Recovery: We integrate into existing claim systems to prevent wrongful payments and recover funds already lost\n\n**Why we're building this**\\\nOver the past 9 years, Angel had three knee surgeries and fought down $250k in inflated hospital bills. We first built a consumer tool that saved $300k for 60 patients in a few months. Then we realized the bigger impact comes from fixing the problem at its source, before the bill ever reaches the patient.\n\n**Backgrounds:**\n\nAngel studied CS/Econ at Harvard and is a 3x founder. He scaled his first company to 60+ enterprise partnerships with financial institutions (Goldman Sachs, JPMorgan, Bank of America). In 2021, he and Ahmad founded Zuvy, a fintech company based in Nigeria, which was acquired by a PE firm in 2025. Earlier, Ahmad built healthcare data platforms for the Nigerian government, serving 20M+ people.\n\n**Get a risk-free claims audit at [avelishealth.com](http://avelishealth.com).**\n\n![uploaded image](/media/?type=post&id=93135&key=user_uploads/89898/2edb2c0f-4e8a-4e9b-bf8f-37918ec91b39)\n\n", "url": "https://www.ycombinator.com/launches/OEB-avelis-health-preventing-overpayments-on-medical-claims", "votes": 67, "created_at": "2025-08-19T06:39:38.032Z" } ] }, { "id": 30754, "name": "Locata", "slug": "locata", "former_names": [ "Locata AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0351a7bc0e508af83b9f25fa8db67212e25a78c.png", "website": "https://www.locatahealth.com/", "all_locations": "New York City, NY, USA", "long_description": "Locata is an AI referral management platform for Primary Care. We deploy AI agents to automate every step of the referral process that back-office staff face daily, from submitting prior authorizations to broadcasting updates and following up with patients. This frees up staff to focus on patient care.\r\n\r\nPrimary care back-offices are severely understaffed and overburdened by administrative work associated with referrals. Additionally, patients suffer navigating the complex referral process, which can have disastrous health effects if they don’t get the care they need. These factors point to a glaring gap in the system—where out of over 100 million specialist referrals issued annually in the US, only half are actually completed. Locata is tackling this problem head-on, saving administrative staff hours each week and ensuring that the referral process goes as smoothly as possible for patients and their providers.\r\n\r\nAlejandro and Josh met at Stanford where they graduated with BS degrees in Computer Science. Alejandro was a senior software engineer at Meta’s Reality Labs where he led development of several AI features for wearable products and prior to that conducted AI research at Stanford Medicine. Josh graduated with a masters in Computer Science, specializing in AI, before working as a software engineer at Google where he developed AI products that served over 1 billion users.\r\n\r\nWithin two weeks of building our product, we signed a major regional health center and have saved them over 100 hours of work in our first month live.", "one_liner": "AI Referral Automation for Primary Care Clinics", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1753486430, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/locata", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/locata.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/locata-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0351a7bc0e508af83b9f25fa8db67212e25a78c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1a5993f69e1669c439668f86852ea3d386ea6169.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2364965, "full_name": "Alejandro Salinas", "title": "Founder", "founder_bio": "Alejandro is the Co-Founder of Locata. He holds a BS in Computer Science from Stanford University where he conducted AI research at Stanford Medicine. A former pre-med, Alejandro spent multiple summers shadowing doctors domestically and internationally. \n\nHe has deep experience building AI products. As a Senior Software Engineer at Meta Reality Labs, he led development of several AI features for wearable products. He also authored an AI patent.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/asalinas21/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea245a1d6647bf826cc9b6e4b39cbc797fc6c732.jpg" }, { "user_id": 710374, "full_name": "Joshua Chang", "title": "Founder", "founder_bio": "Joshua is the Co-Founder of Locata. He graduated Stanford with a BS & MS in Computer Science, specializing in AI. Previously he was a software engineer at Google, developing AI products that served over 1 billion users.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-r-chang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf9b9eb0e350ca7ad0c4d397202bea868156e10b.jpg" } ], "jobs": [ { "id": 96055, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/locata/jobs/cj0LS52-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $250K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "React", "DynamoDB", "Distributed Systems", "AI Agents" ] } ], "news": [], "launches": [ { "id": 92778, "title": "Locata - AI Referral Management for Health Centers", "tagline": "We use AI to automate the entire referral loop including authorizations, patient communication and specialist follow-up.", "body": "Hey everyone, we’re [Alejandro](https://www.linkedin.com/in/asalinas21/) and [Josh](https://www.linkedin.com/in/joshua-r-chang/) - cofounders of [Locata](https://www.locatahealth.com/) 👋\n\n**TL;DR**\n\nReferral management is one of the most time-consuming and error-prone tasks in healthcare. Locata eliminates that burden by automating the entire process with AI. This helps health centers streamline their operations, reduce costs, and ensure patients get timely care.\n\nhttps://youtu.be/IwyUifa8MnE\n\n## ❌ The Problem\n\nReferrals are one of the most critical, yet most broken, parts of the US healthcare system. Health centers are required to track specialist referrals to ensure continuity of patient care and meet quality standards. **But with limited staff and overwhelming administrative demands, health centers struggle to keep up, leading many to outsource the work.**\n\n**Consequences:**\n\n* High error rates in referrals\n* Denied authorizations and delays in specialist appointments\n* Wasted time manually copying data between various systems\n\n**Impact:**\n\nThese operational inefficiencies create major **financial risks** for health centers. On top of the resources centers already deploy to manage referrals, failure to effectively close the loop puts quality standards in jeopardy, carrying even greater financial implications.\n\n## [👷](https://emojipedia.org/construction-worker) Our Solution\n\nLocata uses AI to automate the referral management process from end-to-end. Imagine having a team of the world’s best referral coordinators that operate with higher accuracy, lower costs, and faster delivery, giving health centers the capacity to scale on demand and close more referral loops.\n\n* **AI auth submission**: Our AI extracts patient data directly from EHRs, intelligently maps it to the correct authorization forms across different payor portals, and submits requests automatically.\n* **Automated status updates:** We monitor authorization status continuously, with automatic notifications sent to staff for cases requiring urgent attention.\n* **Voice AI patient follow-up:** Our Voice AI calls patients on customizable cadences to monitor whether they’ve made a specialist appointment. Our system alerts staff when they need to step in to offer additional support.\n* **Consult note retrieval**: Once a patient confirms an appointment, our AI automatically contacts specialists, requesting consult notes to effortlessly close the loop.\n\nWithin two weeks of building our product, we signed a major regional health center and are taking them live to automate their entire referral workflow.\n\n## 🙏 Our Ask\n\n* We would love introductions to physicians or administrative staff at health centers. Contact us at [**founders@locata.ai**](mailto:founders@locata.ai).\n* Learn more at [**locatahealth.com**](http://locatahealth.com)\n\n## 👫 The Team\n\nAlejandro and Josh have known each other for almost 10 years.\n\nAlejandro was a senior software engineer at Meta’s Reality Labs, where he led AI projects that resulted in a patent submission. He holds a BS degree in Computer Science from Stanford University. As an undergrad, he conducted AI research at Stanford Medicine and shadowed doctors internationally.\n\nJosh was a software engineer at Google, working on AI products that served over 1 billion users. He holds BS & MS degrees in Computer Science from Stanford University. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcVZU3FQirEU_QuCAYPL2Xw4G4s1QrbEaxCqUFuSG5YG_QQ0lRcCjMSgbEiwEa-7LbYq461m2f3Oy6p4mSvgv_2bDdpKAxbZ26uCIhrtGsl6o-4nnt3X0U_XjYhmvXHr6onkiJP?key=-A3E_ylVo9SV_eklWajCuw)\n\n", "url": "https://www.ycombinator.com/launches/O8Q-locata-ai-referral-management-for-health-centers", "votes": 68, "created_at": "2025-08-07T03:03:30.153Z" } ] }, { "id": 30778, "name": "Perspectives Health", "slug": "perspectives-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4d717434657a084785d53a7ab208f3a1b202dae.png", "website": "https://perspectiveshealth.ai/", "all_locations": "Chicago, IL, USA", "long_description": "America is facing an addiction and mental health crisis, but the treatment programs trying to solve the problem are faced with administrative burden, staff shortages, and pressure from payers. \r\n\r\nWe work with treatment programs to incorporate AI that reduces administrative burden, prevents insurance denials, and helps directors run their program better.\r\n\r\nOur agents analyze charts to prevent insurance denials, complete documentation and insurance paperwork to save staff time, and sift through historical data to find opportunities for improvement.", "one_liner": "AI to run behavioral health programs better", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1751446455, "tags": [ "Workflow Automation", "Healthcare", "Mental Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/perspectives-health", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/perspectives-health.json", "year_founded": 2024, "city": "Chicago", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perspectives-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4d717434657a084785d53a7ab208f3a1b202dae.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/73/1757444798-e238caf003eadad628843518da04d477/1f09e9118dd0cb12bfda2e5252510d3b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022730Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=973e5011f0faf75346a26c8a6ebe0419fa530b8cd49087375ed7aa1b16c6a1fe", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2329278, "full_name": "Eshan Dosani", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO, Perspectives Health. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eshan-dosani/", "x_url": "https://x.com/EshanDosani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82b2141759123737c726fcdc466ec142c3bd40d3.jpg" }, { "user_id": 1003771, "full_name": "Kyle Jung", "title": "Founder/CTO", "founder_bio": "I like building cool things, martial arts, and golf.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kyle-hyun-woo-jung-a06814180/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76c7b10d44d923aa745450d3689cd0880684ef53.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101622, "title": "Perspectives Health", "tagline": "AI to Run Behavioral Health Clinics Better", "body": "Hey YC.\n\nMy name is Eshan. I’ve spent the last 5 years trying to address what I think is the most pressing problem in the country — addiction and mental health. Before YC, I ran a group doing on the ground overdose prevention work across the country. I also worked at the White House on Drug Policy.\n\n**Insurance companies love to scrutinize behavioral health treatment**, partially because it’s expensive (a single 30-day residential treatment episode can cost upwards of $50,000), and partially because proving medical necessity for behavioral health is a subjective process.\n\nBut behavioral health care _is_ medically necessary. **Drug overdose is the single biggest cause of death for young people in the US.** And there are too many stories of insurers denying people care, only for those individuals to later lose their lives to overdose.\n\nWe were in the summer ‘25 YC batch. Since then, we’ve been working with a small group of customers to develop a new product. I’m excited to announce it today.\\\n\\\n**Introducing: Perspectives Reclaim**\n\nBecause they’re under so much pressure from payors, behavioral health treatment programs currently spend an immense amount of resources and staff generating documentation and auditing it to be perfect. \\\n\\\nReclaim solves this by\n\n1. Reading tens of thousands of pages of charts every night\n2. Finding issues that can lead to insurance denials or other issues\n3. Tracking down which clinician made the error and emailing back and forth with them until it’s solved. \n\n![uploaded image](/media/?type=post&id=101622&key=user_uploads/2329278/a7ccf9c3-cf38-409a-a8d4-9c4421623a19)\n\n\\\nIn each of our pilots, we’ve flagged and resolved hundreds of issues, from missing documents to drug tests that weren’t happening when they were supposed to, **leading to more approvals from payors, higher revenue for our clinics, and better outcomes for patients.**\n\nReclaim’s agent can also help provide evidence when fighting against payor clawbacks and can generate the insurance documentation used to argue for more days of care.\n\nIn the last 4 weeks since launching Reclaim, we’ve gone from **0 —> $250k cARR.** Our vision is to replace the $30B spent on the financial and administrative services that keep these clinics afloat and give that capacity back to care.\n\n**Asks**:\n\n1. Intros to our ICP: we’re looking for multi-site behavioral health/SUD treatment centers that deal with commercial insurance.\n2. We’re currently hiring a senior software engineer to help us scale. Any intros here would be appreciated.\n3. Investor intros are always appreciated as well.\n\nHere’s our launch video: ", "url": "https://www.ycombinator.com/launches/QR4-perspectives-health", "votes": 4, "created_at": "2026-05-20T03:01:54.820Z" }, { "id": 92889, "title": "Perspectives Health: AI Agents for behavioral health admin", "tagline": "Too many clinicians are forced to chase insurance reimbursements through hours of documentation. We’re here to fix that", "body": "**Perspectives Health is the AI assistant automating the admin work that slows down behavioral health clinics.**\n\n[https://youtu.be/xL-XqY41L10](https://youtu.be/xL-XqY41L10%5C)\n\nHey everyone! We're Eshan and Kyle, founders of Perspectives Health.\n\nWe help the millions of clinicians and clinical directors finally use AI inside the outdated EMR systems they've been stuck in.\n\nMost clinical record software works like Microsoft 95, has no modern APIs, and can't integrate with new tools. That leaves clinicians stuck doing endless manual computer work. \n\nBelieve it or not, most behavioral health clinicians will spend 5 years of their lives just typing notes!\n\n**The Problem**\n\n* 60%+ of clinicians work outside of major hospital systems.\n* Most of them use software that nobody can connect to.\n* This means they can't access life-changing AI software, which could automate notes, billing, scheduling, and more.\n\n**Our Solution**\n\n* Connects to any web-based EMR instantly. Yes, we mean any EMR.\n* Perspectives listens to sessions, writes notes better than a clinician, and populates them straight into any EMR. \n* No copy/paste. And we don't rely on browser agents, so our tool fills out any form in seconds, not minutes.\n\nAI is rapidly improving, but most of healthcare is locked out due to legacy systems. Perspectives bridges that gap, making AI usable immediately. Clinicians want to help people. Not to be drowned in manual work. We're building toward a future where clinicians never touch a keyboard for documentation again—where intelligent systems handle every workflow outside of patient care. \n\nThe first step is integrating seamlessly with outdated EMRs and filling in the critical workflows they lack. From there, we'll expand across specialties—behavioral health, speech therapy, physical therapy, veterinary care, and beyond—unlocking AI for every provider outside the hospital system.\n\n**Our Traction**\n\n* We're growing 25% every week.\n* Once users try our product 5 times, the habit is built, and they never write notes without it.\n* We have onboarded 9 clinics for our pilot program since YC started, and each is on track to onboard all our pilot clinicians by September (180 clinicians).\n\n**Our Team**\n\nOur founding team combines lived experience in mental health care, policy expertise from the White House Drug Policy team, and technical expertise in scalable AI systems.\n\n**Our Ask**\n\nIf you're a behavioral health operator, clinician, or investor who believes AI should be helping providers now—not five years from now—let's talk.", "url": "https://www.ycombinator.com/launches/OAD-perspectives-health-ai-agents-for-behavioral-health-admin", "votes": 25, "created_at": "2025-08-13T19:26:58.682Z" } ] }, { "id": 30869, "name": "Kaigo Health", "slug": "kaigo-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59741bf929b644ae6eee61f3e03439f598f3ceeb.png", "website": "https://www.kaigohealth.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kaigo Health provides an AI-powered outpatient care management platform that automates and scales remote care management for Medicare patients including post-discharge followups, ongoing check-ins, and monitoring. Using phone calls as an age-friendly interface, we aggregate patient responses, voice biomarkers, and remote patient monitoring data for powerful preventative and proactive healthcare. ", "one_liner": "AI outpatient care workforce", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1761873494, "tags": [ "Health Tech", "Digital Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Our mission is personal. Each of us watched someone we love slip through the cracks of today’s healthcare system. Peter’s grandfather suffered three preventable ER readmissions before passing—his ruptured aorta went undetected after missed medications and a complete absence of follow-up care. Lukas’s grandmother, who raised him, deteriorated in assisted living—isolated, depressed, and unrecognizable before passing unexpectedly just days before he arrived. Kazuki’s grandfather battled cancer alone in Japan, cut off from family by COVID-era hospital restrictions—reminding us that healing requires more than medicine.\r\n\r\nWhat we experienced is not rare. It’s the reality for tens of millions of older adults. In ERs, nursing homes, and senior communities where we’ve volunteered, we saw the same patterns: chronic conditions unmanaged, dangerous falls ignored, weeks without human connection, and emergencies that could have been prevented. Aging has become a quiet crisis—fueled by staff shortages, fragmented systems, lack of technology access, and stigma about growing old. \r\n\r\nWe’ve invested 600+ hours on the ground working with older adults to deeply understand their’ needs, motivations, and barriers. Our team brings full-stack software, AI/ML, and hardware expertise from Neuralink, Stanford, and NVIDIA, along with operating experience leading major organizations like Zero2One (largest startup group at UIUC), Stanford Founders (1,500+ members), and Covalence (2,000 volunteers across seven universities)—this gives us the tools needed to lead transformation in this space. \r\n\r\nWe’re here because we believe older adults deserve independence, dignity, and a healthcare system that truly cares—and we’re building Kaigo Health to make that the new standard." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our vision is to transform healthcare into a continuous, preventative, and home-based experience. We start by enabling high touch outpatient care for Medicare providers, supercharging value-based care. This builds consumer trust and a proprietary data layer, and leverages existing provider distribution networks to later phase in more advanced ambient sensing and care delivery technologies (e.g. home robot companions) for 24/7 personal health management - bringing healthcare to the home while hospitals focus on acute care." } ], "url": "https://www.ycombinator.com/companies/kaigo-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kaigo-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kaigohealth/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/59741bf929b644ae6eee61f3e03439f598f3ceeb.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30926/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPNM4H2ZD%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022731Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJIMEYCIQC39P4yQgLmT71RDgpP7SzleQQnonC709CIthldibwFEQIhAIaTmz7itB2BSOcbLvHSEqR5atrCru8331p2nxswpFPlKuUDCDoQABoMMDA2MjAxODExMDcyIgyIHFNA%2BoAC3h6UfhkqwgMWrnQPAwVxcPSn8YGKQ67Z0i8w7sabSqzPmNg6qiVIbYfg3K4FwKrIr3%2BTMgYX%2F%2BeX%2Bpa1NffuFltcS%2FaD5i3P1PA7HKH7LJyFtww7k%2BA5KO%2BhkePkfgEpsky%2B%2BePphwBgc9LL2ObqwtvM0EqR2dvmGwK0pOjv9X9%2BotFVgCBEydgR1IOnYN56T1k%2BOXenbO9d9Elhw1Z78OO2wXYiR75z4yo1s5wz6zr4twai2ELFmfsMX3W7R4ZZZe%2FltqATVqoeN%2FywW0mOfO0EHxXkvuMbE2ccH5poFJFhBb8IND4h0Y0gH2T23H64cQtXSV4AJYWTQ9iYcaV%2Bwd8ByovUNO3fYdg187s5BLUfU6Jqn%2By5CtTj18WZzbB9V4IJIDVws7aW1cDLr1nbZLZ69tv7aAhMwPgsaLz1uFXCVWijHk29oa4VVNLMHAyfE6%2FTVNP0MjolUOhxV9p7md%2BhVVj5DiVMg%2FtlzSKh2keTbpP3xzzrXmlnSljux%2BPIztNqkDf3jvu4gdCKV3knadzxbWZoxCCNtJ2mZf3hqB7qsmn0%2Fj2keORPeqosWjC%2BM1Yvo7staxmYofRhKRaufjshsfrZz9fARksw5%2F3a1gY6pAGKRpigvHO1ZInNRWL4VQjhyvyyI4jWG5oD9NiiTxRQkTVPRsVYZrMtNGSYxvbfyty52pgjuw%2FBLRGM361snatBfs2Y4YLb7qqHcAHDCD1xDcZbIqioGiGF6I0iKm%2Bj4lDuUpeY4bb92wwFFie%2FgZRgfL%2FkayhSZmr4ZeWf%2FGCpxzwDak8O1KvjgDMiuzmVtIhavK0gyCxgFPfLUd0luRL5fYuYrg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=c294a65b233351ca8d56e2654819276f65c5e54b3aac59d6650ab0a2ae2db8f8", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c526821e0d3de8386438f03ae18ebbc972314abb.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/01266040fdc5a97fba307ad5159759fb2299ff04.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1439253, "full_name": "Peter Chien", "title": "Founder/CEO", "founder_bio": "CEO of Kaigo Health, obsessed with senior-care and healthcare, ex-Neuralink & Varda hardware/robotics engineer, started 2 nonprofits (3K+ members and going strong), volunteered 600+ hours at hospitals, ERs, nursing homes, and senior communities, #1 advocate of the elderly, attempting to help solve the aging crisis and bringing healthcare to the home. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peterchien111", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eedc9f3b80fcef1c786f8767f2d1db38921b067.jpg" }, { "user_id": 2260417, "full_name": "Lukas Klaiber", "title": "Founder/COO", "founder_bio": "COO of Kaigo Health, and preventive health advocate - biohacked himself into benching 360+ lbs. Co-Founder of Stanford Founders and Full-stack engineer with stints at SAP and ServiceNow, who built products ranging from AI-powered IoT systems to platforms processing $20M+ GMV. He designed tech-enabled radiology practices at Accenture, worked on Neuromorphic computing with Fortiss, and with SAP's CTO on redesigning their tech strategy. Researched at Stanford CDR, and holds an MSc in CS from TUM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukas-klaiber-0458121ba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06e5b4cf09d9ece0beada7e9893d663ffff0f38b.jpg" }, { "user_id": 549368, "full_name": "Kazuki Shin", "title": "Founder/CTO", "founder_bio": "Robotics and AI engineer turned founder. Led NVIDIA’s perception and simulation efforts for autonomous driving, built ML systems at BMW, Amazon, and PlayStation, and ran race ops for MIT Driverless’s autonomous Formula team. Earned his M.S. in ECE at UIUC, where he developed humanoid robots for home care and published 12 IEEE papers on human-robot interaction. Also a fashion runway photographer featured in ELLE (NYFW SS25).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazuki-shin/", "x_url": "https://x.com/shinkazuki99", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b0e976f047f6daa25187c35e71ab057e31aab95.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95326, "title": "Kaigo Health - The AI Care Workforce That Looks After Grandma & Grandpa", "tagline": "Keeping patients healthy at home by automating follow-ups, check-ins, and monitoring that catch problems early.", "body": "**TLDR;** We help healthcare providers care for patients at home by automating follow-ups, check-ins, and monitoring - closing care gaps and catching issues before they become emergencies.\\\n\\\nhttps://youtu.be/c2BLsZJtZSg\n\n**The Problem**\n\nAfter every visit, patient care falls apart between systems.\n\nFollow-ups, care plan adherence, and patient monitoring are manual, time consuming, and insufficient - leaving patients unsupported, nurses overloaded, and health systems losing billions to readmissions and other penalties.\n\n**Our Solution**\n\nKaigo Health builds an **AI outpatient care workforce** - autonomous agents that continuously follow-up, monitor, and advocate for patients, then report back to their human care teams with actionable insights. All of this is delivered through simple, accessible phone calls with a voice agent specifically designed for older adults.\n\nKaigo **helps providers scale outpatient care management 100× without scaling headcount**, driving fewer readmissions, higher quality scores, and stronger value-based performance.\n\n**Vision**\n\nKaigo aims to build a new infrastructure for healthcare beyond the 4 walls of the clinic - a layer of autonomous, scalable health monitoring, coordination, and delivery that seamlessly fills in the gaps between our current fragmented system, transforming healthcare into a continuous, ambient part of everyday life.\n\nWe’re starting with providers: giving them powerful technology to dramatically expand their outpatient care capacity, thrive under value-based care, and ensure every patient has a proactive, friendly voice looking out for their health between visits.\n\n**Our Story**\n\nWe started Kaigo after seeing how fragile recovery becomes once patients leave the hospital. Our families wanted to stay healthy, yet support faded the moment they got home. We’re building Kaigo so care continues where life happens.\n\n![uploaded image](/media/?type=post&id=95326&key=user_uploads/549368/10d07369-f920-467c-af8c-ffdf828ef817)\n\n\\\n**The Team**\n\n**Peter** **Chien, CEO**\n\n* Led neurosurgical robotics sensors, algorithms, and mechanisms at Neuralink\n* Founded Zero2One, UIUC’s primary startup incubator launching 50+ ventures\n* 600+ hours field work across hospitals and senior communities\n\n**Lukas Klaiber, COO**\n\n* Software engineer from Stanford and TUM; built and scaled software at ServiceNow and SAP\n* Founded Stanford Founders; largest graduate entrepreneurship group at Stanford with 1,500+ members\n* Lifelong advocate of preventative health; broke the German bench press national record through biohacking\n\n**Kazuki Shin, CTO**\n\n* Designed large-scale perception and simulation systems for autonomous robots at NVIDIA, MIT, BMW, Amazon, and Sony PlayStation\n* Developed humanoid robots for homecare, authoring 12 peer-reviewed papers at top IEEE robotics conferences\n* Fashion runway photographer featured in ELLE Magazine for NYFW SS25, capturing collections from leading designers and fashion houses\n\n**Our Ask**\n\nWe’d love warm intros to:\n\n* Healthcare providers\n* Angel investors\n\n🔗[ ](http://www.lunabill.com/)https://kaigohealth.ai \n\n📩 [founders@kaigohealth.ai](mailto:founders@kaigohealth.ai)\n\nThanks for the support!\n\n![uploaded image](/media/?type=post&id=95326&key=user_uploads/89898/9814261f-88f6-4c5c-90cc-015141e131b4)\n\n", "url": "https://www.ycombinator.com/launches/OnW-kaigo-health-the-ai-care-workforce-that-looks-after-grandma-grandpa", "votes": 26, "created_at": "2025-11-09T06:54:28.070Z" } ] }, { "id": 30997, "name": "LunaBill", "slug": "lunabill", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/847fd92cf2043da7d18f115344b4d983d4eccc7c.png", "website": "https://lunabill.com/", "all_locations": "San Francisco, CA, USA", "long_description": "LunaBill is building AI Voice callers for healthcare billing teams. Insurance claim follow-up calls account for the 80% of the daily workload of a healthcare billing team, with each call averaging 30 minutes.\r\n\r\nSince our launch in July we are now at $764K in contracted ARR, of which $428K is live revenue and the rest will go live by January 2026. Our customers see a 10x increase in claims followed up per biller in the first week and we have converted 100% of pilots to paying customers. We have automated 50,000+ calls and signed partnerships with top healthcare systems in the country.\r\n\r\nThe founders have known each other for over a year. Suhail is a 2x founder, with 3+ years of experience building in healthcare including operating a medical billing company with 200+ healthcare clients. David founded Skiesoft, Taiwan’s biggest healthcare AI scribe company, used by thousands of healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy. ", "one_liner": "AI Voice callers for healthcare billing teams", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1759865815, "tags": [ "Generative AI", "Health Tech", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lunabill", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lunabill.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lunabill", "x_url": "https://x.com/getlunabill", "fb_url": "https://facebook.com/getlunabill", "cb_url": "LunaBill", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/847fd92cf2043da7d18f115344b4d983d4eccc7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6b3460a020d75171725dd147b989e86ada2034de.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1e8396d75481e1a29a5fbb988eb5e6a815277e16.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2967362, "full_name": "Suhail Parry", "title": "Founder/CEO", "founder_bio": "2x founder. Prior to LunaBill, I worked as a founding engineer at Knowext, building AI automation for various hospitals and later joined as an operator for Mediregi, an RCM company with 200+ healthcare clients.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suhailparry/", "x_url": "https://x.com/bitcoinbasha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1df6ddff5a8137b351129554f324e4f433cedfa9.jpg" }, { "user_id": 1675564, "full_name": "David Day", "title": "Founder/CTO", "founder_bio": "David previously founded Skiesoft, one of Taiwan’s biggest AI scribe company. He also worked at a data scientist at UCSF, building models to audit coding accuracy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daviddaytw/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8929d6b4215265460d650bc3a98cf353edefff27.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95408, "title": "LunaBill - AI Voice Callers for Healthcare Billing Teams", "tagline": "Automating claim-status calls, follow-ups, and reprocessing, so your billing team can finally focus on revenue, not hold music.", "body": "Hello YC! We’re Suhail Parry, David Day, and Yash Raj from LunaBill.\n\n_TL;DR:_ We built AI voice agents that automate insurance calls for healthcare billing teams. Fine-tuned on a dataset of over 1.2M call transcripts, our voice agents can handle insurance calls regarding claim-status inquiries, A/R recovery, and appeals follow-up.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/704621ef-8701-4468-9167-c84f44c67f0a)\n\n### **🚨 The Problem**\n\nEvery week, U.S. healthcare billing teams make tens of millions of calls to insurance companies to get claims paid.\\\nEach one averages **25 minutes**. That’s how hospitals unlock part of the **$260B in denied or delayed payments** every year.\n\nBut there’s a bottleneck:\n\n* Reps can only handle a few calls per hour.\n* Staffing is expensive and hard to scale.\n* Delays cost millions in unrecovered revenue.\n\nMeanwhile, every new hospital system or insurer integration compounds the complexity.\n\n### **💡 The Solution**\n\nLunaBill’s **AI voice callers** automate those phone conversations end-to-end.\n\nOur voice agents:\n\n* Handle **claim status checks, appeals follow-ups, and reprocessing calls** automatically.\n* **Connect to any billing software** and dial claims that need to be worked.\n* Run up to **100 concurrent agents** per client, like having a 100-person call center on demand.\n* Deliver post-call summaries with the to-do steps, integrated directly into workflows.\n\nThey’re **fine-tuned on 1.2M+ real call transcripts**, understand payer logic, and sound completely natural.\\\n🎧 [Listen](https://drive.google.com/file/d/1jxi7GRUV4h1YDX8XkEYQdFzepboOQLq8/view?usp=sharing) to a real AI insurance call, see if you can guess who’s human.\n\n### **⚡ Our Progress**\n\nTo date, LunaBill has automated **60,000+ insurance calls**, saving billing teams over **20,000 hours** and recovering **$30M+** in payments that would otherwise be lost.\n\nBillers now can complete 300+ claim follow-ups per day — up from about 25/day before LunaBill, a \\~12x productivity improvement.\n\nLunaBill has partnered with **top healthcare systems** and **three of the biggest enterprise billing companies** across the country.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/1f560e14-55c0-4cf7-be59-68fda8d58eb1)\n\n**👥 About Us**\n\n* **Suhail Parry (CEO)** — 2x founder, led billing ops for 200+ clinics.\n* **David Day (CTO)** — Former UCSF data scientist, founded **Skiesoft**, an AI medical scribe used by 120,000 users.\n* **Yash Raj (COO)** — Built AI consumer apps (10K+ users) and worked at **Mayo Clinic** on clinical AI research.\n\nWe first met at the Berkeley AI Hackathon, where we built an AI nurse. A few months later, we teamed up to tackle the biggest operational pain point we’d all lived through: **insurance phone calls**.\n\n### **🤝 Our Ask**\n\nWe’d love warm intros to:\n\n* **Hospital CFOs/CROs/revenue cycle leaders**\n* **Billing / RCM partners**\n* **YC startups selling to hospitals (EHRs, telehealth, marketplaces)** for integrations or co-GTM\n\nFor inquiries, email us at [founders@lunabill.com](https://mailto:founders@lunabill.com) \n\nVisit us at[ ](http://www.lunabill.com/)[Lunabill](http://www.lunabill.com). \\\nFollow us on Linkedin **👉** [LINK HERE](https://www.linkedin.com/company/lunabill/?viewAsMember=true)\n\nThanks for the support!", "url": "https://www.ycombinator.com/launches/Ooq-lunabill-ai-voice-callers-for-healthcare-billing-teams", "votes": 51, "created_at": "2025-11-11T16:18:20.305Z" } ] }, { "id": 31136, "name": "Scheduling Wizard", "slug": "scheduling-wizard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a941d8028fafa95dd706134a19099c733b0726ff.png", "website": "https://www.schedulingwiz.com", "all_locations": "Washington, DC, USA", "long_description": "Scheduling Wizard is building the logistics infrastructure to modernize healthcare operations. Hospitals still rely on manual workflows to manage staffing, patient flow, and core operations, contributing to $760B in annual inefficiency.\r\n\r\n20 departments across 16 hospitals already outsource their physician scheduling to us, powered by our internal Scheduling Programming Language and AI-driven workflows. We work with Mass General, Johns Hopkins, UT Southwestern, UCSF, and many others.\r\n\r\nWe are actively onboarding new clients and expanding into patient triaging and provider management systems, working with partner departments at UCSF and other leading institutions. Scheduling Wizard aims to bring healthcare operations into the future by reducing administrative burden and improving clinical care coordination. Our goal is to create the AI-native administrative layer in healthcare operations.", "one_liner": "Logistics infrastructure to modernize healthcare operations", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1773244975, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scheduling-wizard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/scheduling-wizard.json", "year_founded": 2024, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scheduling-wizard/", "x_url": "https://x.com/scheduling_wiz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a941d8028fafa95dd706134a19099c733b0726ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1953821, "full_name": "Samuel Oberly", "title": "Founder/CEO", "founder_bio": "Johns Hopkins and Cambridge trained Mathematician. Building the algorithms that will drive the future of healthcare administration and resource allocation. \n\nI am an award-winning and published mathematician, including a civilian service medal for my logistics algorithms built while working for the Department of Defense. I received four degrees in my four years at Johns Hopkins and have deep expertise in algorithm development. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-oberly", "x_url": "https://x.com/samob917?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20692683e7e15a10e25d719c4dc1643db5164ebd.jpg" }, { "user_id": 1803021, "full_name": "Zachary Dermody", "title": "Founder/COO", "founder_bio": "Co-Founder and COO of Scheduling Wizard. Johns Hopkins University, 2024. B.A. in Economics with a minor in Computer Science. Former logistics roles at Amazon and McMaster-Carr. Interested in technology, philosophy, and building the future.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zachary-dermody-41238a202", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72dfe69c6cc27a8c903180d5e7d0c71bd1be6ee6.jpg" }, { "user_id": 2098854, "full_name": "Abdelrahman Hamimi", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Scheduling Wizard | MS, BS Computer science and BA Economics from Johns Hopkins University (2025) | AWS Cloud Solutions Architect Certified", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abdelrahman-hamimi-2064ab202/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83fbf613e35f76cea2fef12cc2a811617aa9a921.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98711, "title": "Scheduling Wizard: Logistics infrastructure to modernize healthcare operations", "tagline": "Beginning with physician scheduling and care coordination", "body": "Hey YC! We’re Ab, Sam and Zac.\n\n**We are building the logistics infrastructure to modernize healthcare operations, beginning with physician scheduling and care coordination, to combat rampant inefficiencies in healthcare.**\n\n[**https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS**](https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS)\n\n**Our Beginning:**\n\nThis all began when a doctor at Johns Hopkins told us that residents and attending physicians spend **hundreds of hours** each year scheduling. Thus began our **physician** **scheduling service**. \n\nWe built an internal **Optimization Programming Language** that lets us create complex schedules far faster than traditional methods. Our clients now review schedules we build, rather than spend hundreds of hours manually creating them.\n\nThrough our scheduling, we have built trust in healthcare logistics across major academic health systems with active contracts at **Mass General**, **Johns Hopkins**, **UT Southwestern**, **LA General**, **UCF** and more! We are actively growing and onboarding new partners.\n\n**Revelations I:**\n\nThese relationships revealed that healthcare administration, more generally, is unbelievably manual, disjointed, and inefficient. That’s why we have expanded our scope to tackle clinical care coordination. We have separated clinic operations into two segments: **The Patients**, and **The Resources**. \n\n**The Patients:**\n\nThe patient journey at most clinics begins with a referral process that leads to a triaging bottleneck before a patient can be seen. Only once this is complete can the complex systems for evaluation and treatment tracking begin.\n\n**The Resources:**\n\nManaging and tracking personnel, rooms, and time is difficult for even the best administrative teams.\n\n**The Secret**\n\nThe problem with healthcare is not on the demand side, it is on the supply side. **Care coordination is the bridge between patient needs and hospital resources.**\n\n**Revelations II:**\n\nWith our design partners at **UCSF and other major healthcare systems**, we are building patient triaging and provider management systems to improve and automate care coordination, while reducing administrative burden.\n\nWe aim to modernize healthcare operations. As our partnerships grow and our scope expands, we will become the key player in **bringing healthcare operations into the future.**\n\n**The Team**\n\nWe are a team of award-winning mathematicians, computer scientists, and logistics experts from Johns Hopkins University.\n\nOur CEO, **Sam Oberly**, is an expert in predictive logistics with a civilian service medal for his logistical coordination algorithm development. He is a published mathematician, trained at Hopkins and Cambridge. ()\n\nOur CTO, **Abdelrahman Hamimi**, is an AWS certified cloud solutions architect who built internal automation software at GEICO used internally across multiple departments. He graduated from Hopkins with an MS and a BS in computer science, and a BA in Economics. His entire immediate family are doctors. ()\n\nOur COO, **Zachary Dermody**, has boots-on-the-ground experience in logistics management at Amazon and McMaster-Carr. He studied economics and computer science at Hopkins, and his mother is a practicing physician. ()\n\n**Reach us at [founders@schedulingwiz.com](mailto:founders@schedulingwiz.com)**", "url": "https://www.ycombinator.com/launches/Pg7-scheduling-wizard-logistics-infrastructure-to-modernize-healthcare-operations", "votes": 13, "created_at": "2026-03-11T18:24:05.215Z" } ] }, { "id": 31160, "name": "Mango Medical", "slug": "mango-medical-inc", "former_names": [ "Mango Medical Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84022beba7ccfa3668cb9f2f7cb672ffd0b53ebc.png", "website": "https://mangomedical.io", "all_locations": "San Francisco, CA, USA", "long_description": "Mango Medical builds agentic surgical planning AI for orthopedic surgery. We deliver surgeon-ready plans in minutes instead of days. 8-figure LOI from a top orthopedic company. Pursuing FDA 510(k) clearance. We're building a future where every surgery follows a personalized plan.", "one_liner": "Foundation models for planning orthopedic surgery", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1772177133, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mango-medical-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mango-medical-inc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mangomedical/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mango-medical", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84022beba7ccfa3668cb9f2f7cb672ffd0b53ebc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 412078, "full_name": "Adrian Kilian", "title": "Founder/CEO", "founder_bio": "building AI agents for orthopedic planning. ex-dentist and voice actor. we are building a world where every orthopedic surgery is patient-specific and simulated.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adrian-kilian", "x_url": "https://x.com/thegadak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/460ecfe0ae63b8503c57e832308834d23fa3f029.jpg" }, { "user_id": 2377487, "full_name": "Jorge Padilla Perez", "title": "Founder/CTO", "founder_bio": "Research in AI, XR, and robotics in medicine — now building the foundations of AI for autonomous orthopedic surgeries.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorge-padilla-perez/", "x_url": "https://x.com/padilla_peres", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc60aaa459c844ed4e11d41956573c4359cb03bb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98730, "title": "Mango Medical: Taking the guesswork out of orthopedic surgeries with agentic planning", "tagline": "Surgery planning takes specialized engineering teams multiple business days - Mango Medical does it in seconds.", "body": "Hey everyone 👋\n\nWe're Adrian and Jorge, co-founders of Mango Medical Inc.\n\n**TL;DR: Mango Medical builds AI Agents that take CT scans and X-Rays and plan which implant sizes and approach works.**\n\nInstead of waiting for specialized planning engineering teams to turn-around a plan over multiple business days, orthopedic implant companies work with our APIs to submit the CT scan of a patient and receive a full surgical plan within seconds, starting with shoulder replacement surgeries.\\\n\\\nOur launch video: \\\n\\\n👉 **Ask**: If you know orthopedic surgeons and orthopedic implant companies that have surgical planning needs, we'd love to partner with them to give them instant planning tools via API and give us early feedback on our upcoming planning product.\\\nSend them to or reach out to [founders@mangomedical.com](mailto:founders@mangomedical.com). \\\n\\\n**The Problem**\n\n30 million orthopedic surgeries are conducted every year, that all receive some form of medical imaging prior to surgery. \\\nRoughly 10 million of those are joint replacement surgeries that receive planning over 2 - 5 business days. This limits the use of robots and 3D printed guide systems and adds time and interruptions between when a surgeon sees the patient and when the plan can be discussed with the patient. \\\n\\\n15 million surgeries are acute fractures. Time-sensitive surgeries of high complexity, that have the same source medical imaging data, but lack the planning workflows to plan outcomes and take the cognitive load off of the surgeons. \\\n\\\nThey have to figure out how to treat their patient during the surgery, which leads to a lot of trial and error, wasted operating room time, wrong implants, complications and revision surgeries. The number 1 request from surgeons we have received was for them to be able to have patient-specific plans for these complex cases.\\\n\\\nWhen surgeries become plannable instantly, it opens the door to planning multiple scenarios and giving surgeons peace of mind that they know how to face the surgery they are entering in the operating room.\n\n\\*\\*When planning can be done instantaneously, all surgeries can be planned in time.\\*\\*\\\n\\\n**The Team**\n\n**Adrian Kilian** (CEO): Dentist and maxillofacial surgery researcher, Stanford GSB Ignite Allumni, former voice actor.\n\n**Jorge Padilla Perez** (CTO): Contributed to the original U-NET paper and collaborated with ETH Zurich, Stanford, University of Augsburg, and TU Munich in his research on medical imaging.\n\n![uploaded image](/media/?type=post&id=98730&key=user_uploads/412078/b905b853-a495-40d0-a0a5-5d3c8851c2ab)\n\n", "url": "https://www.ycombinator.com/launches/PgQ-mango-medical-taking-the-guesswork-out-of-orthopedic-surgeries-with-agentic-planning", "votes": 18, "created_at": "2026-03-12T00:48:50.030Z" } ] }, { "id": 31183, "name": "Patientdesk.ai", "slug": "patientdeskai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61038c47ba4c75630383f542220a03d2ed7b93d4.png", "website": "https://patientdesk.ai/", "all_locations": "", "long_description": "Patientdesk is an AI bookings system that helps healthcare practices make more money. We do this by handling bookings, payments, and insurance to fill up a provider's calendar with high value appointments. ", "one_liner": "AI front & back office agent for dental practices ", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1764074488, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/patientdeskai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/patientdeskai.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/patientdesk-ai/", "x_url": "", "fb_url": "https://www.facebook.com/patientdeskai", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61038c47ba4c75630383f542220a03d2ed7b93d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2594817, "full_name": "Oncel Ozgul", "title": "Founder/CEO", "founder_bio": "Co-founder @ Patientdesk.ai. Aced the Turkish National High School Exam and ranked #1 across 1.2 million students. Graduated with near 4.0 GPA from the #1 ranked university in the Netherlands. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oncelozgul", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/754eaf54c60c479a670e17f150dd74a2708a2d66.jpg" }, { "user_id": 2623620, "full_name": "Emre Kaplaner", "title": "Founder/CTO", "founder_bio": "Co-founder @ Patientdesk.ai. Ranked #1 out of 1.2M students in the Turkish national high school exam. Studied Data Science & Econometrics at UvA with 3.98 GPA. Turned down LSE twice to build Patientdesk with my co-founders.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emre-kaplaner-7b3a3b15b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ea20e1ef33459ce729392a8d5a80aa2f0c5f4d6.jpg" }, { "user_id": 2617266, "full_name": "Fikri San Koktas", "title": "Founder/COO", "founder_bio": "Building AI agents for dental practices at Patientdesk.ai. BSc Computational Engineering & MSc AI @ Aalto University. Ranked 1st among 1.2M students in Turkish national high school exam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fikri-san-koktas-47a73b1ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3db0ac4acf4e826a97d8f60026e2ac4f4014f89d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98988, "title": "Patientdesk.ai: AI Native Operating System for Dental Clinics", "tagline": "All-in-one operating system built for real dental workflows.", "body": "**TL;DR:** Patientdesk handles inbound and outbound calls, scheduling, live insurance verification, claims submission, and billing for dental clinics — all in one system. We grew from $17K to $50K MRR in 8 weeks and have driven $1.8M in incremental revenue for our customers.\\\n\\\n \n\n👋 **Hi, we're Oncel, Şan, and Emre.**\n\nWe've been best friends since 2016. All three of us ranked #1 nationwide out of 1.2 million students on the Turkish national exam, ended up in the same high school dorm room, and have been working together ever since. Before Patientdesk, we ran a dental marketing agency and our own call center for two years. We didn't find this problem. It found us.\n\n🔴 **The problem**\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/da263c64-fc8a-45ab-a59f-a1bbb5702156)\n\nThe US dental industry processes $189 billion in services annually across 135,000 clinic locations. Yet the average practice runs on five disconnected tools that don't talk to each other. The consequences are severe:\n\n* 15% of insurance claims are denied, 80% of those denials are preventable\n* 65% of denied claims are never resubmitted\n* Front desk staff spend up to 20 hours per week on manual insurance verification alone\n\nEvery time data moves between tools, a human moves it manually. A wrong code, a missing attachment, a verification that never made it to the claim. The clinic doesn't get paid. This is not a staffing problem. It's a coordination problem. And you can't fix a coordination problem by adding more tools.\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/e7b525fc-ccb3-434f-be85-43a83ae665fd)\n\n✅ **What we built**\n\nPatientdesk is the AI-native operating system for dental practices. We started with the front office and we're building toward owning the entire stack.\n\nToday we handle:\n\n* **Inbound and outbound calls** — 24/7 coverage, no missed calls, no voicemails\n* **Scheduling** — books directly into the practice management software\n* **Live insurance verification** — we are the first system to verify insurance during the booking call, in real time, without any manual handoff\n* **Claims submission and denial follow-up** — we submit claims directly and follow up on denials automatically so clinics stop leaving money on the table\n* **Payments and billing** — automated reminders and collection\n\nOur goal is to replace the $15,000/month stack clinics currently use with a single platform starting at $7,500/month.\n\n📈 **Traction**\n\n* $17K → $50K MRR in 8 weeks, 39% MoM growth\n* $1.8M in incremental revenue driven for customers since September 2025\n* 60+ clinics live across the US, Australia, and the UK\n* Official voice provider for 2 major practice management platforms\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/d5a474a4-d274-4e8c-850a-7609529246a4)\n\n🙏 **Our ask**\n\n* Intros to dental groups, DSOs, or healthcare operators\n* Feedback from founders who scaled vertical SaaS or voice-heavy products\n* Anyone who has navigated insurance and claims workflows at scale\n\nHappy to give any YC founder a live walkthrough.\n\nReach us at [founders@patientdesk.ai](mailto:founders@patientdesk.ai) or at [patientdesk.ai](http://patientdesk.ai)", "url": "https://www.ycombinator.com/launches/Pka-patientdesk-ai-ai-native-operating-system-for-dental-clinics", "votes": 13, "created_at": "2026-03-21T17:39:44.585Z" }, { "id": 97818, "title": "Patientdesk.ai: Patient-Aware AI Booking for Dental Clinics", "tagline": "All-in-one patient intake system built for real dental workflows.", "body": "We’re **Oncel, San, and Emre**, founders of **Patientdesk**.\\\n\\\nOne quick data point before we get into it.\n\nIn December alone, one of our customers generated $350k in revenue directly from Patientdesk bookings.\\\n\\\n**TL;DR**\n\nPatientdesk is a **patient-aware AI booking system for dentists.** We handle calls, bookings, payments, and **real-time insurance verification during the call** so clinics capture more revenue and fill their calendars with higher-value appointments.\\\n\\\nWe are growing rapidly, especially in the **US**. We are live in **60+ clinics** across the US, Australia, and the UK, partnered with **3 major practice management systems**, and have been **invited to exhibit at the world’s largest dental fairs like ADX**.\n\n## \n\n## **The Problem**\n\nDental practices leak revenue at the front desk.\n\nCalls come in while teams are busy or after hours. Try calling a dentist in the evening or on the weekend and it will usually go straight to voicemail.\n\nPatients do not wait. They move on.\n\nThis becomes even more painful with paid acquisition. Clinics invest heavily in ads, but often follow up hours or days later. By then, the patient is gone.\n\nWhat’s left:\n\n* Missed opportunities\n* Underutilized provider calendars\n* High CAC with poor conversion\n\nThis bottleneck has existed for decades and worsens as clinics scale.\n\n## **What We Built**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/80f45110-8b4d-47e2-8824-15d30704d9b2)\n\nPatientdesk is an AI booking system built specifically for dental clinics.\n\nInstead of solving one piece of the workflow, we run **patient intake end to end**, without increasing staff workload or forcing clinics to change how they operate.\\\n\\\n**Unlike generic booking tools, Patientdesk is patient-aware.**\n\nIt understands who is calling, their history with the clinic, and what type of appointment they are asking about, so conversations are handled with the right context instead of starting from zero every time.\n\nPatientdesk covers:\n\n* Incoming patient calls\n* Intake and qualification\n* Appointment booking\n* **Insurance verification in real time during the call**\n* Payments and deposits\n\nAll within a single system.\n\nWe are the first system that verifies insurance live during the call within a couple of seconds. This lets clinics confirm coverage and pricing immediately, instead of booking blindly or calling patients back later, which is where many high-value cases drop off.\\\n\\\nPatients get answers immediately instead of waiting for callbacks or manual checks.\n\n## **How It Works**\n\nPatientdesk integrates directly with major clinic management systems across the US, Australia, and the UK.\n\nWe have **active partnerships with three major practice management systems**, allowing us to book, update, and verify information directly inside clinic systems.\n\nWhen something needs to be booked, checked, or updated, it happens automatically inside the clinic’s existing system.\n\nIf a patient asks about coverage, **insurance is verified on the spot**, typically within seconds.\\\nNo follow-up calls. No dropped patients.\n\nAfter the visit, Patientdesk continues to work:\n\n* We follow up with patients\n* When a payment is due, we handle it automatically\n\nThe front desk is no longer a bottleneck and becomes a revenue engine.\n\n## **Traction**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/c67cb867-68bb-4fbd-9106-43aebb53e2d7)\n\n* Live in **60+ clinics**, primarily dental, across the US, Australia, and the UK\n* Growing rapidly in the **US dental market**\n* Handling real patient calls every day\n* Partnered with **3 major practice management systems**\n* Invited to **the largest dental conferences and trade shows globally**\n\nPatientdesk is already the core infrastructure for the clinics we support.\n\n## **🔍 Why We’re Building This**\n\nWe did not arrive here by theory.\n\nBefore Patientdesk, we spent years working directly with clinics. We built workflows, trained front desk teams, and operated our own call center.\n\nWe saw that while there are tools for individual steps like phones, bookings, and insurance, nothing handles patient intake completely in one system.\n\nPatientdesk came from that gap.\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/2b5239db-0031-4bf5-98d0-397bb72c06ad)\n\n## **🤝 Our Ask**\n\nIf any of the below resonate, we would love your help:\n\n* Introductions to dental groups, DSOs, or healthcare operators\n* Feedback on positioning such as AI receptionist versus intake or revenue platform\n* Advice from founders who have scaled vertical SaaS or voice-heavy systems\n\nHappy to give YC founders a live walkthrough.\n\n📬 Reach us via DM or at [**founders@patientdesk.ai**](mailto:founders@patientdesk.ai)\\\n🌐 ", "url": "https://www.ycombinator.com/launches/PRi-patientdesk-ai-patient-aware-ai-booking-for-dental-clinics", "votes": 12, "created_at": "2026-02-14T03:04:54.668Z" } ] }, { "id": 31326, "name": "Klarify", "slug": "klarify", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1e276eff7f94fc1f97bb94df15769f7ec1b4fef.png", "website": "https://www.klarify.ca/", "all_locations": "Toronto, ON, Canada", "long_description": "Klarify handles every job a therapist does other than the therapy itself, from clinical notes and treatment plans to insurance claims and finding new clients.\r\n\r\nTherapists hold the world together. They also run businesses, file insurance claims, write letters, fill forms, supervise new grads, and do hours of paperwork every night. \r\n\r\nPractice management software has existed for decades. It records what therapists do. It can't actually do any of it.\r\n\r\nKlara is the AI at the heart of Klarify. She handles notes, treatment plans, clinical letters, insurance claims, between-session resources, supervision prep, and finding new clients.\r\n\r\nNearly 12,300 therapists use Klarify today.\r\n\r\nOur mission is to empower therapists, not replace them. So they can focus on the one thing only a human can do. Be present with their client.", "one_liner": "AI Agent for Therapists", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1778267831, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/klarify", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/klarify.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/klarifytherapy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1e276eff7f94fc1f97bb94df15769f7ec1b4fef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f569785869fd477cc2d95b6b7de2d0ce930e2486.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 303925, "full_name": "Moody Abdul", "title": "Founder/CEO", "founder_bio": "Founder of Klarify, an AI agent for therapists.\n\nPreviously founder @ Circleback.ai. \n\nContact: moody@klarify.ca", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moodyabdul", "x_url": "https://x.com/MoodyAbdulf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ffb5b3843dde9c98f21227a4351fa8ad3d1b137.jpg" }, { "user_id": 1977587, "full_name": "Alexander Bergholm", "title": "Founder/CTO", "founder_bio": "CTO @ Klarify (Batch P26)\n\nHere to graduate clients from therapy by enhancing their therapeutic journey.\n\nFormer Div 1 collegiate CS player, top 50 in Canada — still clutch under pressure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bergholmalexander/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38f18808748d7f11b2fdd99653f7550542e8de90.jpg" } ], "jobs": [ { "id": 114407, "title": "Founding Product Manager", "url": "https://www.ycombinator.com/companies/klarify/jobs/2B0yXZs-founding-product-manager", "location": "Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114408, "title": "Head of Product", "url": "https://www.ycombinator.com/companies/klarify/jobs/rRhVDwo-head-of-product", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "0.50% - 2.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The crisis behind the mental health crisis: therapist operational overload", "url": "https://www.dallasnews.com/opinion/commentary/article/therapy-overload-mental-health-counselors-22320633.php", "date": "Jun 28, 2026" }, { "title": "What Therapists Know About the Problems We Keep Debating | IBTimes", "url": "https://www.ibtimes.com/what-therapists-know-about-problems-we-keep-debating-3804004", "date": "Jun 12, 2026" }, { "title": "AI Should Handle the Busywork, Not the Therapy", "url": "https://www.techtimes.com/articles/318205/20260611/klarify-founder-moody-abdul-ai-should-handle-busywork-not-therapy.htm", "date": "Jun 11, 2026" } ], "launches": [ { "id": 101227, "title": "Klarify 🌱 AI Agent for Therapists", "tagline": "Klarify handles every job a therapist does other than the therapy itself.", "body": "Hey YC!\n\nWe're [Moody](https://www.linkedin.com/in/moodyabdul/) and [Bergie](https://www.linkedin.com/in/bergholmalexander/), co-founders of [Klarify](https://klarify.ca).\n\n## TL;DR\n\nTherapists work alone. Klarify is the AI agent that handles every job a therapist does other than the therapy itself: clinical notes, treatment plans, insurance claims, between-session resources, and finding new clients. Nearly 6,000 therapists use Klarify today, and we're growing fast.\n\n**Ask:** Know a therapist or clinic owner? Send them this post or reach us at [moody@klarify.ca](mailto:moody@klarify.ca).\n\n\n\n## The Problem\n\nDoctors have assistants. Lawyers have paralegals. Therapists work alone.\n\nThey spend their evenings on the work they didn't sign up for: clinical notes, treatment plans, finding new clients, fighting insurance denials.\n\nPractice management software has existed for decades. It stores what therapists do. It can't actually do any of it.\n\nExisting software stores notes but can't use them. Schedules clients but can't find new ones. Submits insurance claims but can't fight denials.\n\n## Our Solution\n\nKlarify does. Klara handles the work other than the therapy itself:\n\n* 📝 **Notes**: drafted from the session in seconds\n* 🩺 **Treatment plans**: personalized to each client\n* ✉️ **Clinical letters**: referrals, third-party reports, court letters\n* 🧾 **Insurance claims**: submitted, denials fought automatically\n* 📋 **Between-session resources**: customized homework and client check-ins\n* 📈 **Finding new clients**: AI-generated content that brings them in\n* And much more…\n\n> Klarify gave me something I didn't realize I had lost: time and energy. It has changed not only how I work, but how I live.\"\\\n> — Kelly Copeland, M.Ed, Registered Counselling Therapist\n\n## Where We're Going\n\nMental health is a global problem. Every therapist, in every country, runs into the same wall: they're alone with the work no one trained them for.\n\nUS outpatient mental health alone is a $40B market. Klara works in any language.\n\nIn a few years, the solo therapist runs a 7-figure practice. The 50-clinician group runs lean. All due to Klarify handling everything other than the therapy itself.\n\n## Our Ask\n\nTherapists, try us free at [klarify.ca](http://klarify.ca).\n\nFor therapist intros, investors in health/AI/vertical SaaS, or press covering AI in healthcare or mental health innovation: [info@klarify.ca](mailto:info@klarify.ca)\n\n## The Founders\n\nWe both have therapists who changed our lives. Klarify is what we wanted them to have.\n\n**Moody (CEO)** is a second-time founder. He previously co-founded [Circleback.ai](http://Circleback.ai), an AI meeting notes app. Before that he sold $20M in enterprise contracts at LinkedIn. He hosts the Future of Therapy Podcast.\n\n**Bergie (CTO)** has built LLM infrastructure at Workday. He holds a patent and a published paper from UBC in computer vision for self-driving cars, and researched deep learning with the Finnish Military's Special Task Force.\n\n![uploaded image](/media/?type=post&id=101227&key=user_uploads/303925/8a84fe0f-f147-46bc-a029-08b17c7b62e9)\n\n", "url": "https://www.ycombinator.com/launches/QKh-klarify-ai-agent-for-therapists", "votes": 92, "created_at": "2026-05-11T23:59:23.028Z" } ] }, { "id": 32523, "name": "Elite", "slug": "elite", "former_names": [ "Stratum", "Stratum Industries" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/950a2e88427ff9cd0ec85f5da8c2e8bd7d8333df.png", "website": "https://elitehq.ai/", "all_locations": "New York City, NY, USA", "long_description": "Elite builds AI voice agents that run the front office for healthcare practices. Elite answers every patient call instantly and finishes the job inside the practice's EHR: scheduling, triage, referrals, refills, eligibility, intake, and billing, across voice, SMS, and web, around the clock.\r\n\r\nFront offices are drowning in phone volume, so patients wait on hold, calls go unanswered, and staff get pulled away from care. Elite picks up every call, resolves the routine ones end to end, and escalates anything complex to the team with full context. It ships knowing the scheduling protocols of 18 specialties and writes back to more than 19 EHRs including Epic, athenahealth, eClinicalWorks, and ModMed. There is no rip-and-replace, it goes live in days, and every resolved patient interaction is what we charge for.\r\n\r\nOur starting point is healthcare. The mission is to rebuild the critical industries America runs on, including government, finance, insurance, and manufacturing, by deploying AI agents into the slow, manual workflows at their core.", "one_liner": "Healthcare AI", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1785365250, "tags": [ "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elite", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/elite.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/this-is-elite", "x_url": "https://x.com/Stratum_Inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/950a2e88427ff9cd0ec85f5da8c2e8bd7d8333df.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c94ced9719faa591972f4a2547e746ac79c217b8.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ada3710bf9074942e19405ec614b7911439b6ca1.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1648613, "full_name": "Raj Jagiasi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Elite - Rebuilding critical American industries. Prev at Deel. College dropout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raj-jagiasi/", "x_url": "https://x.com/raj_jagiasi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/136a9babd34f78ebf558618f247fba37378307d3.jpg" }, { "user_id": 1303141, "full_name": "Vihaan Jagiasi", "title": "Founder/CTO", "founder_bio": "co-founder @ Elite. engineer #3 at cadastral (acq by Legora). waterloo dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vihaanjagiasi/", "x_url": "https://x.com/VihaanJagiasi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32665114b168ae0427fec8e263c5cb49bd0d84c4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108362, "title": "Stratum Industries - Applied AI for Governments", "tagline": "AI agents that automate the complex manual workflows governments run on.", "body": "**TL;DR: Stratum builds AI agents that automate the slow, manual processes governments run on. We're starting with application review - clearing backlogs in a fraction of the time and saving agencies tens of billions a year.**\n\n![uploaded image](/media/?type=post&id=108362&key=user_uploads/1648613/f70bb601-955f-4c6c-946f-8d8c90d04fa6)\n\n**The problem**\n\nGovernments run on manual work. Millions of complex processes - reviews, approvals, filings, claims -are still handled by hand, one file at a time, on software built long before AI existed.\n\nTake application review. Every permit, license, patent, drug approval, and benefits claim in America is reviewed by hand, one file at a time. Millions sit in queues while people wait months and years: veterans on disability ratings, families on pensions, builders on permits.\n\nThe tools reviewers open every morning were built long before AI. So the work stays manual, and the queue only grows.\n\nThis isn't one broken workflow. It's how the entire government runs.\n\n**What Stratum does**\n\nStratum builds AI agents that automate the slow, complex, manual processes governments run on.\n\nWe're starting with application review.\n\nA reviewer uploads an application and selects the rubric to check it against. From there, an agent takes over: it plans the review, works through the file end to end, and checks every requirement, routing each step to the right model.\n\nA human approves every outcome, and every step is fully auditable.\n\nThe difference is scale. Instead of one reviewer on one file, hundreds of agents run in parallel — clearing an entire backlog in the time it once took to review a single application.\n\n![uploaded image](/media/?type=post&id=108362&key=user_uploads/1648613/e23f9409-271f-4879-95aa-374eb37ae64f)\n\n**Who we are**\n\nWe're Vihaan (VJ) and Raj - brothers.\n\nVihaan (CTO): founding engineer #3 at Cadastral (acquired by Legora), waterloo dropout.\n\nRaj (CEO): led GTM at Deel, dropped out of CS grad school at the University of Bath.\n\n**Where this goes**\n\nApplication review is the first workflow. The mission is to integrate AI across every vertical inside the government.\n\nGovernments are among the largest, most complex organizations on earth — and almost none of it has been touched by modern AI. We're changing that, saving agencies tens, eventually hundreds, of billions a year and making the government one of the most efficient institutions in the world.\n\nLooking to bring AI into your agency? Reach out to the team or book a demo [stratumindustries.co](https://stratumindustries.co/)\n\nContact: [founders@stratumindustries.co](mailto:founders@stratumindustries.co)", "url": "https://www.ycombinator.com/launches/SBm-stratum-industries-applied-ai-for-governments", "votes": 9, "created_at": "2026-08-14T18:00:00.843Z" }, { "id": 108348, "title": "Stratum Industries - clearing the entire U.S. Government backlog", "tagline": "AI agents that review government applications end-to-end, so backlogs that took years clear in minutes.", "body": "**TL;DR**\n\nStratum builds AI agents that clear the U.S. government's backlog. A reviewer drops in an application, picks the rubric to check it against, and an agent plans, executes, and reviews the file end to end. Hundreds run in parallel with a human approving every decision, so a backlog that used to take months clears in the time it took to review one file.\n\n**The Problem**\n\nEvery permit, license, patent, drug approval, grants and benefits claim in America has to be reviewed by a government adjudicator, on software built decades before AI. The result is millions of applications stuck in queues, and real people waiting months or years: veterans on disability ratings, families on pensions, builders on permits. The approval isn't the problem. The software it runs on is.\n\n**How Stratum Works**\n\n1. A reviewer drops in an application and selects the rubric it needs to be checked against.\n2. An agent reads every page and checks the file against that rubric.\n3. Every step routes to the model that reviews it most accurately for the least cost.\n4. Anything missing goes back to the applicant as one specific request.\n5. The officer gets the whole file summarized, with every citation behind it, and approves or denies it.\n\nHundreds of these run in parallel in the cloud, with full auditability at every step, and a person always makes the final call.\n\n![uploaded image](/media/?type=post&id=108348&key=user_uploads/1648613/15e81a7e-32ca-4280-9822-bc49caed3028)\n\n**The Vision**\n\nIn a couple of years, dealing with the government should feel as frictionless as booking an Uber or paying with Apple Pay. You tell your Stratum agent what you need, a permit, a license, a claim, and it fills out the application and submits it. On the other side, the government's Stratum agents review it, ask your agent for anything missing, and settle it between themselves. The decision comes back the same day, in minutes. No waiting weeks or months. Clearing today's backlog is only the beginning.\n\n**Team**\n\nWe're Vihaan and Raj, brothers. Vihaan was founding engineer #3 at Cadastral (acquired by Legora) and dropped out of Waterloo to build Stratum. Raj led GTM at Deel, averaging 220% of quota over two years and ranking top 5 of 1,000+ reps globally, and dropped out of grad school at Bath to build Stratum.\n\n![uploaded image](/media/?type=post&id=108348&key=user_uploads/1648613/40ac0440-bf77-46cf-b30e-370f734c3203)\n\n**Our Ask**\n\n* Do you work in government and struggle with a review backlog? We want to talk. Email [founders@stratumindustries.co](mailto:founders@stratumindustries.co)\n* Know someone who runs adjudication at a federal, state, or local agency? Intro us.", "url": "https://www.ycombinator.com/launches/SBY-stratum-industries-clearing-the-entire-u-s-government-backlog", "votes": 2, "created_at": "2026-07-30T01:21:28.889Z" } ] }, { "id": 33062, "name": "Hubble", "slug": "hubble-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d58ef930283a4163ee9544b3936abd1327a463a.png", "website": "https://hubble.ai/", "all_locations": "Seattle, WA, USA", "long_description": "Hubble’s mission is to unify the patient medical record and remove the barriers to accessing it. Today, a person’s health history is scattered across disconnected systems, leaving patients and the people helping them to piece it together. We’re building a future where one authorization unlocks a more complete record, regardless of where someone received care.\r\n\r\nOur founders previously built healthcare and AI products at Grow Therapy and Amazon One Medical, and we’re backed by Y Combinator, Madrona, and Basis Set. We’re building our team in Seattle, with the opportunity to work directly with the founders and shape how people access and use their health information.", "one_liner": "AI-native retrieval engine for medical records", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1784648214, "tags": [ "B2B", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hubble-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/hubble-ai.json", "year_founded": 2026, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hubble-ai-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d58ef930283a4163ee9544b3936abd1327a463a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3661311, "full_name": "Prabha Dublish", "title": "Founder/CEO", "founder_bio": "Founder at Hubble. Previously first PM at Grow Therapy launching their first AI features & PM at Meta.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prabhadublish/?skipRedirect=true", "x_url": "https://x.com/prabhadublish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8065deceef33a65a9ee1389e3ac45816e2e0d754.jpg" }, { "user_id": 3662596, "full_name": "Aaron Leon", "title": "Founder/CTO", "founder_bio": "CTO at Hubble. Previously tech lead at Amazon One Medical, where he launched Amazon's first healthcare AI agents serving 1M+ patients. Prior, led data platforms across Amazon Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaronleon1/", "x_url": "https://x.com/aaronleon_x", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/065b8c9d2baf322d16f034c345fbb7ff591f5e50.jpg" } ], "jobs": [ { "id": 114400, "title": "Founding Engineer ", "url": "https://www.ycombinator.com/companies/hubble-ai/jobs/0ATelWV-founding-engineer", "location": "Seattle, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $175K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 109532, "title": "Hubble: Retrieve medical records other APIs can't", "tagline": "Your user verifies their identity once, and we return their medical records through one API.", "body": "**TL;DR:** Hubble gives your product a patient's medical records through a single API. Your user verifies their identity once, and we assemble their records from across the providers they've seen and return them for your AI agent to use. Where APIs are not sufficient, we keep going with AI (browser and voice agents). Every request runs on the patient's individual right of access.\n\n**The problem**\\\nIf you're building something that needs a patient's records, there's no clean way to get them. A patient's history is scattered across every provider they've ever seen, and each system is its own island. Most APIs returns the patient-portal subset rather than the full record, and coverage is inconsistent because every health system sets up its integration differently. So most teams either build per-provider integrations for months, fall back to faxes and manual portal logins, or push the problem back onto the patient by asking them to track down their own records or remember a login they set up years ago and have long since lost.\n\n**What Hubble does**\\\nYour user verifies their identity once, and we go get their records so you don't have to.\n\n* **One verification, no work on your end.** The patient verifies their identity in a couple clicks. After that, assembling the records is our job, not yours and not theirs.\n* **We don't stop at the portal subset.** We connect into EHRs and HIEs where they work, and when an API comes back empty we keep going.\n* **Browser and voice agents for everything else.** Agents submit the patient's request through provider portals and call records departments on the patient's behalf, working the phone trees so nobody on your team has to.\n* **Built on the patient's right of access.** Every request runs on the patient's individual right of access. They review every source we request from and can revoke at any time. Every retrieval is logged.\n\n**About the team**\\\nWe're the team behind the AI agents at Grow Therapy and Amazon's One Medical, used by millions of patients. Prabha was Grow's first PM building and scaling their AI agents. Aaron built the AI infrastructure at One Medical serving 1M+ clients. (Fun fact: we've known each other for over a decade.)\n\n**Our ask**\n\n* If your product needs patient records, reach out and we'll get you access: [prabha@hubble.ai](mailto:prabha@hubble.ai)\n* Intros to anyone building AI products on patient data, in digital health, care delivery, life sciences, or legal tech.\n\nSign up at [hubble.ai](http://hubble.ai)\n\n", "url": "https://www.ycombinator.com/launches/SUe-hubble-retrieve-medical-records-other-apis-can-t", "votes": 21, "created_at": "2026-08-10T16:00:00.087Z" } ] }, { "id": 36576, "name": "Sutrix", "slug": "sutrix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/10aa0357ff173a9e31708ec1fdba33b53c40c20f.png", "website": "https://www.sutrix.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Sutrix turns messy data from EHRs, clinical notes, wearables, and surveys into clean, study-ready datasets allowing hospital research teams' to deliver tailored patient care faster.\r\n\r\nBefore a clinical study can start, research staff spend weeks pulling patient data from disconnected systems like the EHR, REDCap, and wearable platforms, reading notes chart by chart, and reconciling conflicting entries in spreadsheets. Sutrix automates that work by deploying AI systems within each team’s own environment, linking patient records across sources, applying the study's rules, and flagging unclear cases for staff to review.\r\n\r\nPaying research teams at 10+ institutions cut data prep by 80% going from weeks per study to days.\r\n\r\nWe're brothers who've built together for 4 years. We first solved this problem doing forward-deployed work at HSS, where we built an injury surveillance system now used by 700+ teams. Ritvik's clinical research at HSS and Emory showed us every research team has the same bottleneck. Supratik previously founded Kairo (a16z Speedrun, exited) and built production AI agents at Amazon.", "one_liner": "Deployed AI to turn EHR data into study-ready datasets ", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1791849574, "tags": [ "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sutrix", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/sutrix.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sutrix-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/10aa0357ff173a9e31708ec1fdba33b53c40c20f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 3672292, "full_name": "Ritvik Panuganti", "title": "Founder/CEO", "founder_bio": "B.S. 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Georgia Tech CS + Math (dropped out).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/supratik-panuganti-4732532a4/", "x_url": "https://x.com/supratikp07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6275e789bb0dd1dc558b95e798ad95027248bbe.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37434, "name": "Ascenix", "slug": "ascenix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9df54ccfcc3e9d39a078433b991341cfb364eb78.png", "website": "https://www.ascenix.co/", "all_locations": "Toronto, ON, Canada", "long_description": "Ascenix is the all-in-one incident platform that turns unstructured EHR data into automated reporting, reimbursement recovery, compliance flagging, and clinical insight. We’re already live in 50 homes and scaling across North America. We connect to systems like PointClickCare and analyze the notes nurses already write, adapting to any note structure and any compliance or reporting requirement.\r\n\r\nWe help teams identify documentation gaps, uncover missed revenue opportunities and spot emerging resident risks, while reducing time spent reviewing charts and building spreadsheets. 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She previously worked at Blueprint Medicines at Sanofi and developed AI models at the Icahn School of Medicine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanjana-kavula-710384236/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f813e4619a4554a4049f457c3b5f6cd506307ffc.jpg" }, { "user_id": 3686279, "full_name": "Adhira Tippur", "title": "Founder", "founder_bio": "Founder at Kairos Health (YC F26). Previously at ClearView Healthcare Partners.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adhira-tippur", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f697f5f381cd54d9e50edf0f983517af2f8826ed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123366, "title": "Kairos Health: AI Front Desk for Dental Practices", "tagline": "Kairos Health automates patient engagement for dentists by handling phones and insurance.", "body": "**TL;DR:** Kairos plugs into a dental practice's software, calls patients who are overdue for care, and books them directly into the schedule. It also answers every inbound call 24/7 and verifies insurance.\n\n**The problem** Every dental practice has hundreds of thousands of dollars in revenue sitting idle in their patient management system. It comes from overdue cleanings, unscheduled treatment plans and insurance benefits that are about to expire. The front desk knows these patients are there, but they’re juggling check-ins, phones, and insurance all day, so these calls never get made. Automated texts are easy to ignore, and patients who call in often end up at voicemail.\n\n**What we do**\n\n* Find the patients who should be coming back by analyzing the practice’s data\n* Send personalized calls and texts using AI to book them into the schedule\n* Answer every inbound call 24/7, so no new patient goes to voicemail\n* Verify insurance benefits within seconds\n\n[Video here](https://youtu.be/pxs4TejXZ1Q) \n\n**Customer Results** \n\nWe are live in 16 locations across the US, including one of the biggest independent groups in Manhattan. For these practices each month on average, Kairos:\n\n* Increases monthly production by 20,000\n* Answers 179 missed calls\n* Books 46 appointments for hygiene and treatment\n\n**The team**\n\n* **Adhira Tippur** grew up helping out at her mother's dental practices, which inspired the idea for Kairos Health. She previously worked at ClearView Healthcare Partners, a life sciences consulting firm, and The Collectiv, a venture capital firm.\n* **Sanjana Kavula** studied computational neuroscience at Rice University. She previously worked at Blueprint Medicines at Sanofi and developed AI models at the Icahn School of Medicine.\n* **Aditya Jain** studied computer science at Georgia Tech. He previously worked at the New York Stock Exchange, building large-scale data pipelines for financial trading.\n* **Tanush Chintala** studied computer science at Georgia Tech as a Stamps President’s Scholar. He built developer infrastructure at AWS GuardDuty and developed AI-powered call routing systems at Nimbus Health.\n\n**Our ask**\n\n* If you run a dental practice or DSO, book a demo at [kairoshealthai.com](http://kairoshealthai.com). Practices that sign up this month get half off, for life.\n* If you know a dentist, office manager or DSO leader, we'd love an intro. Reach us at [founders@kairoshealthai.com](mailto:founders@kairoshealthai.com).", "url": "https://www.ycombinator.com/launches/W5m-kairos-health-ai-front-desk-for-dental-practices", "votes": 3, "created_at": "2026-10-19T21:30:02.808Z" } ] } ]