Healthcare Startups funded by Y Combinator (YC) in San Francisco 2025

Exonic is building a global network of intelligence to cure disease. We are the first drug discovery company open to everyone. Today drug discovery is siloed - secretive, adversarial institutions in glass towers. Biological AI is changing the rules. Every day drug discovery becomes more of a computational problem. Exonic is turning drug discovery into an open, meritocratic tournament. We are advised by world leaders in bio AI, including the former Head of AI at Ginkgo Bioworks, and the first author of Evo (cover of Science). All of the best biological AI models are open source. And on Exonic, you can combine them, prompt them, and share your innovative workflows without writing a single line of code. Using Exonic Studio, we just beat a state-of-the-art benchmark in liver cancer (HepG2) synthetic enhancer design, validated in our wet lab. The platform just went live - you can start right now. We are turning the internet into a drug discovery powerhouse.

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature.

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.

Norra helps nursing facilities manage equipment operations. Every year, ~$80 billion are spent on medical equipment like beds, concentrators, and wheelchairs. Nursing facilities continue to operate with zero visibility which leads to $15 billion in equipment waste annually. We use physical trackers and AI agents to eliminate this.

We deliver high-quality, cost-effective healthcare to employees through text. Employers cut 10–20% of healthcare spend. Employees get concierge care that improves outcomes. Our AI agents analyze clinical data to identify care needs. We treat common conditions through our integrated virtual clinic. For more complex care, our agents find the best in-network providers using millions of price and quality data points, and handle end-to-end appointment booking.

We help oncologists and radiologists extract insights from CT scans to support tumor characterization and treatment. The hospitals we work with include Stanford Hospital, Cedars-Sinai (the largest hospital in California), UCI Health, and Weill Cornell.

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. Since 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 leaders like UC health systems, Mayo, Experian Health and more. The 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 120k+ healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy. Yash was a researcher at various hospital systems including Mayo Clinic.

Algen is using CRISPR to uncover disease-driving RNA messages to find treatments for cancer, inflammation and diseases with high unmet needs. We are harnessing the power of CRISPR and machine learning to find first-in-class drugs that modulate RNA messages at single-cell resolution. Algen's founders are bioengineer from Jennifer Doudna Lab and biotech commercialization expert, teamed up with experienced pharmaceutical executives.

Streamline prescription refills, reduce workload, and enhance patient care with intelligent automation.

Pharmie is an AI assistant for pharmacies. It can pick up calls, process prescriptions, handle insurance follow-ups, and even help upsell specific drugs and services. Pharmacies can get 50+ phone calls a day, and missing phone calls means lost revenue from filling prescriptions. Pharmacy workflows are complex and custom to each pharmacy's needs. Generic tools are not enough, which is why AI agents can handle tasks end-to-end that previously could not be automated. We are constantly evolving Pharmie to become a suite of agents that supercharge your pharmacy. In the future, pharmacies will evolve into patient care centers, bridging the gaps in access caused by today’s overburdened healthcare system. Successful pharmacies will use AI to optimize their operations, resulting in a higher quality patient experience traditional pharmacies cannot match.

Blank Bio builds foundation models that understand RNA, the language of life. Our model powers applications across the entire R&D pipeline, from designing better drugs to running smarter clinical trials. Our first model is state-of-the-art in mRNA property prediction. It simulates costly experiments, helping partners design more effective mRNA medicines faster and cheaper. Our open-source models are being used by Sanofi & GSK. We’re also collaborating with the Arc Institute to bring our RNA embeddings into the next generation of virtual cell models. mRNA design is just the beginning. As the model improves, we’re extending to applications like target ID, novel biomarker discovery, patient stratification, and more. We’ve spent decades applying machine learning to biology across academia (PhDs at the University of Toronto) and industry (Recursion, Deep Genomics, Amazon). Contact us to learn more: founders@blank.bio

The Operating System for Health AI: we deploy, govern, and scale AI agents across healthcare organizations.

Novaflow is the AI data analyst for biology labs. -- Bioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months. Researchers at leading institutions like UCSF, Mount Sinai, UC Berkeley, and Harvard are already using Novaflow in their labs.

b-12 is an AI copilot that plans how to create and test new molecules for chemists. We're like a GPS for chemistry, helping pharma companies plan the recipes for new drugs, accelerating early-stage drug discovery from years to months. Andres built the first AI agent that can autonomously think and make molecules in a robotic lab, published in Nature Machine Intelligence (750+ citations), and won the best paper award at the NeurIPS AI for Science conference. Zlatko is a 3x National Chemistry Olympiad champion, competed at IChO level, and medicinal chemist who has worked at Roche and leading lab robotics companies. He has an extensive network of hundreds of chemists across Europe. We are publishing a groundbreaking paper in Nature demonstrating our AI's ability to optimally plan chemical recipes. We run paid pilots with big pharma companies showing that our platform planned a set of experiments that achieved full conversion in a single attempt, eliminating the usual 8-12 iteration cycle.

An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents. Sourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates. Scientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico. Commercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment. Clinical Agent: Runs digital twin simulations, evaluates CRO/CMC risk, and builds trial plans to Phase 1. BD Agent: Summarizes and delivers company-tailored pitches. Built by 2 Stanford CS students who have built 3 startups together before.

Phases uses AI to automate clinical trial operations, starting with patient recruitment. Our agent scans medical records and conducts human-like voice interviews to assess patient eligibility for clinical trials. Our vision is to run the entire clinical trial back-office with agents, getting drugs to market at a fraction of the time and cost it takes today.

BitBoard lets healthcare providers hire AI agents for repetitive administrative work within their existing tools and systems. BitBoard agents are already recovering thousands of hours previously spent on tedious tasks like reviewing intake forms and updating patient charts. The founders were early employees at Forward, where they delivered primary care across the US with support from thousands of remote contractors handling manual administrative tasks. AI agents are finally capable enough to help.

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.

Adentris is an AI compliance copilot for hospitals and clinics. We are like Grammarly for doctors, finding and fixing mistakes that lead to denied insurance claims or patient lawsuits. The industry today spends $40B doing this manually.

AI is transforming healthcare, but the biggest bottleneck remains—procuring and annotating medical images with speed, accuracy, and scale. Frekil eliminates this roadblock. Frekil helps healthcare AI teams, medical device companies, and pharmaceutical companies procure and annotate medical images like X-rays, CTs, MRIs, etc., efficiently for AI training, clinical trials, and FDA approvals. Our AI-assisted platform speeds up annotation 10x while maintaining high accuracy through real-time quality control, consensus checks, and advanced 3D visualization. We also provide tools to track annotator performance, build custom workflows, and increase labeling accuracy. By combining efficiency with precision, Frekil enables teams to build high-quality datasets much faster, supporting the development and deployment of reliable medical AI and clinical research solutions.

A conversational AI platform built for life sciences extending field reach, enabling 24/7 compliant engagement, and scaling trusted conversations with HCPs and patients.

Our founder Noah, an experienced tech entrepreneur, was directly impacted by a severe genetic disease when his daughter was diagnosed with Rett Syndrome, a disease that afflicts 1 in 10,000 girls. Using an innovative polytherapy strategy, we’ve successfully improved her quality of life, and have designed new therapeutics that each could be worth billions and together could deliver a cure.

Paratus Health is the AI operations layer for outpatient clinics. We build autonomous agents that don’t just assist staff - they replace them, fully handling front desk calls, patient intake, insurance verification, documentation, and billing prep. Everything is deeply integrated into EHRs like Epic and Athena, eliminating the need for fragmented tools and manual work. No toggling between systems. No busywork. Just one intelligent system running your clinical operations - faster, smarter, and more profitably than ever before.

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.

Amby Health automates billing and quality reviews for ambulance agencies (EMS), replacing large back-office teams with AI. We analyze patient reports in seconds—not months—accurately coding claims and identifying liability and care risks while eliminating costly, error-prone manual processes.

Cenote builds AI sales reps for online health clinics and deploys them for abandoned-cart and win-back campaigns. Today, digital and telehealth clinics rely on generic text blasts or human follow-up for speed-to-lead and customer reactivation. Since the lead has often gone cold and the outreach isn’t personalized, conversion is frequently below 1%. Cenote’s AI agents reach out immediately, communicate on the patient’s preferred schedule, and operate across channels—dramatically increasing conversion rates and unlocking revenue that otherwise goes unrealized.

Mecha Health builds foundation models to automate x-ray analysis for radiologists. We take medical images and process them using proprietary models to produce accurate draft medical reports. Our first model was built in less than two months, and beat Microsoft, Google, and OpenAI on clinical accuracy metrics. On top of that, it’s two orders of magnitude smaller and trained with a quarter of the data. We are partnering with the largest privately owned radiology practice in the US and a multinational tele-radiology company to provide them with their own foundation model, enabling their radiologists to go from reading 1 scan per hour to 1 scan every 5 minutes. By charging on a per scan basis, x-ray report generation represents a 40B+ market opportunity.

We use AI and high-throughput mouse studies to discover therapeutics that modify neural activity in the brain. The initial focus is on epilepsies associated with autism and Parkinson’s disease with the potential to expand to any neurological disorder underlined by a dysfunction in neural activity. Our R&D is guided by AI models trained on high-density multimodal mouse data generated in-house. We are 3 Oxford-trained neuroscientists supported by an experienced SAB from Harvard, Science Corp (ex-Neuralink), EPFL, Meta, and UCL. In 1.5 months since landing in SF, we went from nothing to (1) opening and operating an animal lab in South SF, (2) obtaining a proof-of-concept in mice, (3) building a multimodal AI model that directs our screening approach and (4) submitting two provisional patents; all while utilizing less than 50% of our YC funding. 

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.

CopyCat helps dermatology clinics deliver lab results to their patients. We use voice AI to provide simple explanations, answer any FAQs, and schedule patients for treatment.

Avora helps dental groups (DSOs) boost case acceptance and institutionalize clinical excellence. We deploy agents that listen to appointments, identify coachable moments, and chart notes to save provider time.

HealthSpark empowers physical therapists (PTs) to start, run, and grow their own independent practices. Our AI-native “business-in-a-box” takes care of the administrative work—credentialing, insurance billing, patient onboarding, documentation, and scheduling—so PTs can focus on patient care, not paperwork.

FutureClinic is a platform that makes it easy for any doctor to open their own digital clinic. Our AI assistant takes a comprehensive medical history using an empathic chat or voice-based interface, uses sophisticated medical reasoning to narrow down likely diagnoses, and produces evidence-based treatment suggestions for each patient. Licensed doctors then review the text-based summaries of the cases our AI provides, and choose how to manage the patients. In this fashion, we're able to deliver end-to-end healthcare in a way that makes personalized, expert healthcare scalable to 8 billion people around the world.

Reticular helps pharma companies discover drugs with AI models like AlphaFold by making them steerable, just like you can prompt LLMs. Today, limited validation data means companies spend millions on failed experiments trying to steer these models through trial and error. We’re piloting our AI interpretability technology with early-stage biotechs and scaling rapidly. Just a week after our pivot, we identified the first interpretable features ever found in protein models, allowing precise control over biological functions. Nithin and John met competing in Biology Olympiads before spending 4 years as roommates at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.

At Ember, we're tackling one of healthcare's most costly and overlooked challenges: the massive inefficiency in clinical documentation and revenue cycle management. Medical practices lose billions annually due to incomplete documentation, missed billing opportunities, and denied claims - issues that stem from antiquated systems that force clinicians to choose between patient care and paperwork. We combine ambient listening technology with deep understanding of medical billing requirements to eliminate the administrative burden that plagues healthcare providers.

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.

Finding new cures requires seeing what and where the abnormal molecules are in a diseased tissue, but current tools see less than 1% of those molecules. Biocartesian combines microscopy and new chemistries to see 50X more, offering unprecedented insights into disease biology and new therapies.

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.

Kopra Bio makes genetically engineered viruses that teach your immune system to kill cancer using tech we developed at UCSF. We’re making the next Keytruda ($25B/yr cancer drug blockbuster) starting with the most aggressive form of brain cancer, glioblastoma. In the most challenging brain cancer model, we improve survival from 0% with the current FDA approved treatment to 90% with our treatment.

Syntra delivers an agentic medical billing platform that automates chart review, claim review, and claim entry with AI. Our specialty-specific AI agents understand the clinical and payer nuances needed to run your RCM function autonomously. Syntra powers hundreds of specialty practices nationwide and processes over $1B in medical claim charges every year.

Planbase has everything health clinics need to manage their team in one place: capacity planning, employee scheduling, credentialing and payroll.

We are building the next generation of deep-learning models for enzyme design to slash the cost of chemical manufacturing. The $6 trillion chemical industry is flawed: It produces 20% of industrial greenhouse gases, and is responsible for 15% of global energy usage. Enzymes offer a far more sustainable alternative to chemical synthesis and have already revolutionised how a select few chemicals are produced. The problem is each enzyme takes years of trial and error to develop. Our enzyme models learn the principles of catalysis, allowing us to design enzymes for each reaction, in days not years.

We empower healthcare providers, starting with emergency physicians, with instant access to up-to-date evidence-based answers. Our platform cuts through the noise to deliver trustworthy medical information 10x faster, revolutionizing clinical decision-support.

Sage is a HIPAA compliant, AI-native communication platform that makes home care agency client-intake handling smarter, faster, and more reliable. Teams that use Sage can save over 100 minutes of busywork per prospect, freeing up their teams to manage a larger, faster growing business.

Pharos automates hospital quality reporting, saving millions in labour costs and helping to prevent avoidable patient harm. Today, clinicians spend thousands of hours manually pulling complex facts out of medical records for mandatory reporting and quality improvement. Our AI pulls those facts out of unstructured medical records automatically. We automate reporting and show staff where avoidable patient harm is happening.

Sample transforms healthcare operations from a burden into a competitive advantage. Our 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. We work with leading national providers, already have data from 76% of US oncology clinics, and our network is rapidly expanding across the nation.

Mito Health uses blood work and scans to tell our customers what to do to prevent disease and live longer. Customers love having a health expert in their pocket, who knows all about them, and can offer trusted advice. Our program has already helped customers detect cancer early and cut their risk of heart disease.

Autonomous intake and RCM for specialty clinics. We're helping specialty clinics catapult in to the modern day by automating their patient intake (emails, calls, and faxes) and interactions with payors (insurance companies). We're helping them see patients quicker, keep referrers in the loop, and get paid on time.

SimCare is an all in one solution for training clinical skills in healthcare and behavioral health. From AI avatars that you can speak with, feedback systems trusted by the top programs in the country, to site placements tools that help you show your skills and find a job. SimCare is used across the board to train counselors, social workers, doctors and nurses.