Healthcare Startups funded by Y Combinator (YC) 2026

Ginkgo Bioworks is the organism company. We design custom organisms for customers across multiple markets. We build our foundries to scale the process of organism engineering using software and hardware automation. Organism engineers at Ginkgo learn from nature to develop new organisms that replace technology with biology.

Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.3M in annualized revenue and rebuilding it with agents from the ground up. Radiology is already in crisis: there aren't enough radiologists to interpret 1 in 6 medical scans. In 10 years, that gap is growing to 1 in 3 - 246M scans a year. We started as an AI software company, signed $2.2M in contracts, and went live, but learned the real bottleneck isn't software, it's outdated systems and slow, inefficient operations. That's why we own the full stack, clinical and operational, end to end. We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.

Omanta is a personalized research lab for patients who have exhausted standard options, want to prepare proactively for recurrence, or are living with an unresolved diagnosis. We direct the full operational infrastructure, personnel, expertise, and technology of a large research program toward understanding and addressing the challenges of individual patients across oncology, rare disease, and undiagnosed conditions. For clinicians, we act as a collaborative partner, providing a living roadmap for ongoing patient care built on a rigorous and evolving scientific evidence base. We fully operationalize patient-specific research programs, covering tissue logistics, diagnostic follow-up, data integration, multiomic analysis, therapeutic strategy development, and more. Omanta brings context and clarity to complex cases, helping clinicians see more of the scientific picture as they decide how best to care for their patients.

Our platform develops personalized or population-level vaccines for any disease in weeks by changing only one input: the immune imprint. Instead of trying to predict which antigens might work, we read out immune cells already fighting the disease in the body and reverse-engineer antigens that activate them. We've already run our platform end-to-end and created a vaccine that cured cancer in mice.

Most data companies pay for their data. Ours pays for itself. Customers send us a stool sample. We sequence it, build a metabolic model of that gut, and simulate whether each probiotic strain has an open niche it can colonize. We formulate the best candidates, then re-sequence 90 days later to see what actually took hold and what changed. Each cycle gives us the baseline gut, the intervention, and the outcome. At scale, the endgame is models that predict chronic disease years before symptoms.

Your skin is yours, but understanding it has never felt that way. Getting answers has meant an appointment, a price, and a long trial-and-error process. We're changing that. Lumeria puts your skin in your own hands: the power to see it, know it, and own its story yourself, at home and on your terms.

RonanRX helps you personalize GLP-1s like Ozempic, peptides, and other treatments using your labs, wearables, medical history, treatment response, and the latest medical research. Instead of treating the average patient, we continuously personalize your treatment as your body changes. We've built the complete feedback loop for personalized medicine: your health data automatically syncs into one place, AI helps personalize treatment, licensed doctors make prescribing decisions, medications are delivered to your door, and every outcome continuously improves your protocol. Connect your health data once. RonanRX automatically syncs your labs, wearables, and medical records into a single AI-powered health profile that helps personalize GLP-1s like Ozempic, peptides, supplements, and other treatments around your biology. If prescribed, your medication is delivered to your door. Our founders have built and exited multiple companies, raised over $100M, and previously built a $50M U.S. medical manufacturing business. Start with a text at RonanRX.com and become the maximum version of yourself,

Avoca is the AI patient access platform built for radiology. It integrates with a network’s existing systems and operational knowledge to automate calls, online scheduling, faxes, e-referrals and patient communications, from referral through to results and follow-up. Unlike generic scheduling tools, Avoca understands the clinical, operational and resource constraints behind every radiology booking, helping providers capture more demand, reduce administrative work and fill more scan capacity.

​Gamgee began with Rosie, founder Paul Conyngham’s dog. After surgery, chemotherapy and immunotherapy failed, Rosie was given months to live. Paul used AI and genomic analysis to identify targets in her tumour, then worked with scientists at UNSW to produce what is believed to be the first fully computationally designed mRNA cancer vaccine delivered to a dog. Following treatment, several tumours shrank significantly and her quality of life improved Gamgee is building an end to end platform for personalised mRNA cancer vaccines for dogs. We sequence a dog’s tumour and healthy DNA, identify mutations unique to its cancer, and design a vaccine that teaches the immune system what to attack. We manage the entire process- from vet intake and tissue collection through genomic analysis, vaccine production, treatment and response monitoring ​We are now turning that one off effort into a repeatable clinical system. Gamgee is running clinical trials in Australia, working with vets, oncologists and specialised laboratories, and accepting cases globally. Our goal is to make personalised cancer treatment accessible to every dog that needs it- and use each case to improve the treatment for the next

Hubble retrieves complete medical records on behalf of patients using patient-mediated access. Under a patient's HIPAA right of access, they authorize us once and we pull their full history from every provider they've seen (hospitals, clinics, labs, imaging centers), no per-provider integration or IT project required. Getting records today still runs on faxes, patient portals, and release-of-information queues, so teams that need medical data wait weeks and get back a pile of unstructured PDFs. Hubble handles the retrieval end to end and returns clean, structured records, turning what used to take weeks into days. We work with teams that live or die on getting patient records fast: legal (personal injury, mass tort, disability), life sciences and research, and anyone building products that need a patient's real medical history to work. Instead of standing up records infrastructure themselves, they use Hubble as the retrieval layer. We'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 their AI agents, Aaron built the AI infra serving 1M+ clients).

Illume is a 24/7 AI personal health & longevity companion that connects your wearables, blood panels, and genomic data to text you personalized and actionable insights. We pull in your health data and fuse it into one secure model. You get daily text updates on what changed, what it means, and what to do next; conversational health Q&A like "What should I do to improve my bloodwork?"; cross-data trend detection that catches patterns individual platforms miss; and a full platform to dig deeper, explore your health data, and text your Illume agent anytime. We're 3 MIT grads & friends, with experience at Windsurf, MIT CSAIL, Eli Lilly, & the Broad Institute.

Floracene shows independent surgery centers the best-priced equivalent implant for every procedure based on their manufacturer contracts. Every orthopedic surgeon we've talked to says the same thing: 90%+ of expensive implants they use are clinically interchangeable, but the choice comes down to habit, brand comfort, or the device rep. US surgery centers spend ~$7B a year on implants, and in orthopedic and spine cases the implant alone runs ~40-60% of the total cost of the procedure. Roughly ~20-30% of that spend is recoverable by switching to a clinically-equivalent device. Instead of defaulting to the implant they trained on, a surgeon sees the 3+ equivalent options side by side and switches to the one that protects the case's margin. Asaph and Jonah met on the hospitals team at Palantir two years ago, and have each spent the last four years in the plumbing of US healthcare: claims, eligibility, and payor contracting. Asaph was an early PM at Garner. Jonah was a founding engineer at Metriport (YC S22) after starting his own fax-automation startup for fertility clinics. At a big hospital the surgeon picks the implant but isn't spending their own money, so price doesn't impact the decision. At an independent surgery center the physicians own the economics, so a cheaper equivalent goes straight to their bottom line. They have every incentive to switch. They just don't have the information or the tooling.

Denta is the practice management platform that puts dental practices on autopilot. When a dentist starts a new practice, instead of finding an accounting firm, hiring two front desk workers, and then spending their nights posting insurance payments, they use Denta. I started Denta to help operate my Dad's 10 practices in Iowa. In supporting those, I realized the most painful part was both people and agents having messy access to fragmented data. So I solved for that and now spend my time automating work for dentists!

Insurf is the AI-native data and decision layer for health insurance. Our first product, Inveto, automatically turns denied healthcare claims into source-cited, physician-attested appeals, recovering revenue practices lose today. Every claim it resolves builds the coverage-decision graph, the proprietary dataset of real payer behavior that powers our next product, Surely, which prices the true cost of a health plan for employers and brokers.

Cova is an AI-native home care agency, licensed in Michigan. We serve Medicaid, LTCI, and private-pay patients; we pay caregivers the highest base rate in the state; and we help unpaid family caregivers get paid through programs they didn't know they qualified for. Our entire operation runs on AI agents, which means less overhead and more value passed directly to the people doing the real work.

Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on health insurance while offering best-in-industry health benefits: www.getprescience.com About us: Prescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.

Care GP is building AI agents to run operations for primary healthcare clinics

Plena is the AI operating system for specialty medical practices. We automate the administrative workflows that keep clinics running — referrals, fax intake, scheduling, procedure compliance, and collections — end to end, across all the systems a practice already uses. Unlike point solutions that cover a slice of the problem, Plena becomes the operating layer across the entire practice, connecting the systems, teams, and workflows that keep it running. In 10 months we've grown 17x and crossed seven figures in committed ARR across six specialties and eight states, with 80% of growth through word of mouth.

Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. Infera handles the protocol logic, vendor-specific scripts, data, inventory, and institutional knowledge in one system. An AI-native compiler for the lab: one system from intent to execution.

Lattice Health monitors deployed medical imaging AI so hospitals can tell whether each model is still working, tracking agreement with the radiologist's read, drift, and performance across patient groups. It observes rather than controls and produces the evidence teams need for safety, governance and compliance.

Voquill is the modern AI-native operating system for medical labs. This software manages the entire workflow of the lab (accessioning, workflow, reporting, coding, compliance, and revenue) and contains modern agentic AI tools to help each step. For example, pathologists can write reports 20% faster through our voice AI coworker. Incumbent lab operating systems are old, don't scale with how modern labs work, and can’t integrate existing AI solutions. As a result, labs are either building their own or paying millions for band-aid solutions and consultants. We're building an agentic platform to manage every aspect of the lab and displace the billions spent on legacy management systems.

Panacea provides AI-native FDA regulatory services for Biotechs and Medical Device companies. We hire the most experienced FDA consultants in the industry (ex-FDA, decades of experience, hundreds of filings) and pair them with our AI platform to enable the fastest and lowest cost pathway to FDA approval. While other regulatory consultants bill hourly, our pricing model is simple: fixed, outcome-based pricing. Payment is only due when milestones are complete. We support all FDA regulatory pathways including IND, NDA, BLA, ODD, Pre-Subs, 510(k), De Novo, PMA, IDE, BDD, etc.

Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program.

FinalDose is building the first programmable drug - a single smart drug molecule that you can insert any diseased genetic code and it can search and destroy cells upon DNA recognition. Unlocking 80% of undruggable targets today. Starting with all cancers.

Arctic Health is building AI-native credentialing and contracting for healthcare organizations. We automate the full workflow, from establishing payer contracts to enrolling each provider. We collect and validate organization and provider data according to each state and payer’s requirements, and submit on the organization's behalf. We then monitor status and compliance on an ongoing basis. Tools on the market today either perform small pieces of the workflow or price out small and mid-sized organizations. We handle the process end-to-end regardless of organization type or size. Our browser automations enable AI agents to submit and monitor across hundreds of payer portals, and our system is trained by experienced industry experts who handle every edge case. Healthcare organizations get one simple platform. We handle the rest.

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. Therapists 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. Practice management software has existed for decades. It records what therapists do. It can't actually do any of it. Klara 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. Nearly 8,300 therapists use Klarify today. Our 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.

Juno is an AI personal health assistant for the 1B+ people living with chronic illness. Launched in October, Juno now supports 150,000+ patients globally.

We turn medical records into personalized videos walking patients through onboarding, adherence, and recovery. The engagement data we collect builds our AI-native patient engagement platform for pharma, hospitals, medical devices, and private clinics, so they can stop chasing the patient and spend more time caring for them.

Taiga automates medical billing for doctor's offices. A doctor uploads their visit data, our AI figures out the right billing codes, checks the claim for errors, and submits it to insurance, dealing with any denials. Faster billing, fewer rejected claims, less busywork. We're Nanda and Adam, friends since 3rd grade. Both of our parents are doctors with their own practices, and billing was always a source of stress and lost revenue for them. We want providers to treat patients while we handle the rest.

Ultrasound today is still mostly 2D. Clinicians have to imagine the 3D anatomy in their head while also moving the probe at the same time. This makes procedures like vascular access hard to learn and perform consistently, especially for beginners. ~50% fail on their first attempt. Hospitals also spend millions each year on 2D ultrasound training. Meanwhile, existing 3D ultrasound devices can cost >10× as much. Lumius is building fast, smart, and accessible 3D ultrasound systems to eliminate this 2D guesswork. Our technology shows a clear, real-time 3D view of what’s inside the body. It works over a large volume, not just a thin slice. The device is also affordable, compact, and portable. We are starting with vascular access, especially central line. Future use cases include blood clot detection, tumor diagnosis, and biopsy guidance. Our long-term vision is a universal 3D ultrasound platform that brings easy-to-use, real-time imaging to a wide range of clinical and eventually consumer applications.

BioStack is building the data engine for healthcare and drug discovery AI. The bottleneck is not models. It is access to high-quality biological data. Clinical and experimental data is fragmented, unstructured, and locked inside hospitals, labs, and CROs, while generating new data is slow and expensive. BioStack fixes this with proprietary clinical and preclinical data pipelines that turn real biomedical workflows into ML-ready training environments. We structure longitudinal multimodal data across imaging, EHR, and experimental assays, then package it for post-training and reinforcement learning so models can learn how research and care actually happen. Instead of static datasets, BioStack gives AI labs workflow-aligned data and environments that improve reasoning, decision-making, and real-world performance in biology and medicine.

Clara is an AI primary care and longevity practice from the team that founded and grew Circle Medical to $100M in revenue. Our mission at Clara is to add one billion years of healthspan to humanity. We do this with an AI with deep clinical knowledge, coupled with the ability to sift through medical data to detect trends and patterns that could be missed. Unlike Claude or ChatGPT, Clara can see your medical data and then act. Chat with Clara as you would a doctor and Clara can help with you make sense of symptoms, get medication refills, order and understand labs, and achieve health goals. Medical recommendations are preliminary until one of our human medical providers in the loop reviews and approves them.

We know how to improve cancer outcomes by 8x-10x: you catch it early. MRI is the most robust and powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill to operate. We've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to the entire world. Our mobile MRI is an imaging clinic on wheels. No equipment to buy, no infrastructure needed. For a flat per-scan fee, any medical site can offer MRI cancer screening. Starting with prostate cancer. Then everything else.

Harbor is building an AI-native contract research organization (CRO) for clinical trials. We started with an AI-native system of record for clinical trial data (electronic data capture system), grew the software business to seven trials and ~$187k in contracted software revenue over the next twelve months, then expanded into full-service trial execution and signed our first CRO contract worth $1.93M over three years. Clinical trials consume 45% of all new drug and device development spend. While some of that goes to software, sites, and patients, the largest line items are services: project management, monitoring, data management, site coordination, source verification, query resolution, record reconciliation, and analysis. Today, drug and device companies outsource clinical operations to legacy CROs and their massive teams, which is why the CRO market is $82B annually. Harbor delivers the regulated services companies buy from legacy CROs, but built around our AI-native system of record from day one. Our software already automates the core data workflows: study build, data capture, query generation, monitoring, signing, and database lock. Because we own the system of record, we can expand into the surrounding service workflows: site contracting and billing, subject engagement and retention, statistics, reporting, and more. We built Harbor because we lived through the problem. Albert spent four years in clinical trials and regulatory strategy at a medical device startup, taking an unproven wearable from first-in-human trials to FDA authorization. Nate brings the technical depth, having built scalable software at Google and Ramp and served as employee #1 at a previous YC startup.

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. 20 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. We 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.

We automate the entire end-to-end prior-authorization process for private practices for cheaper, and more accurately than they're doing today.

Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions. We harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system. Instead of treating the visit or document as an isolated instance, we can look at it as a continuous story. We can predict how a case will resolve, trigger the required approvals and actions, and do so while reducing staff workload and recovering hospital revenue.

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.

Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.

CellType is building an agentic drug company. AI agents that run the full drug discovery pipeline on top of biological foundation models that simulate human biology. Our core technology, developed with Google DeepMind, has already discovered and validated a new cancer treatment signal. We’re working with Top 10 pharma.

Beacon Health (YC W26) is building AI employees that double revenue for primary care practices while also reducing the total cost of care. Primary care is the primary source of care for over 200M Americans, but physicians don’t have the bandwidth to manage their patient panels. Beacon Health builds AI employees that automate tedious background workflows - preventative screenings, prior authorizations, referrals, and risk adjustment. We handle these workflows from start to finish, directly in their EHR. We’re on a mission is to bring joy back to primary care.

Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies. Our team is three PhD scientists from UCSF, UCSD, and UC Berkeley who have worked together for 3+ years in biotech. We have deep expertise in parasite biology, computational biology, and software for AI-based protein structure prediction

Creating the largest patient-derived cancer single-cell dataset for licensing to pharmaceutical and AI companies. These datasets are unique as they screen the effects of various drugs and genetic medicines under the control of our DNA switches.

Ruma Care automates all admin work for infusion clinics - starting with prior authorizations & copay assistance enrollment. Biologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. Current medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. We do this in three ways: 1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers. 2. We pull out the correct forms, then automate the form-filling for prior authorizations. 3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform. We turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.

Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.

Ritivel is an AI-native workspace for regulatory and medical writing teams at life sciences companies. Our AI agents draft CTDs, CSRs, INDs, and BLAs in minutes instead of weeks, helping drugs reach patients faster. Every month a drug is delayed from reaching the market costs pharma companies ~$45M in lost revenue and more importantly, delays treatment for thousands of patients who need it. Yet regulatory teams are stuck in a painful, months-long process: synthesizing thousands of pages of clinical data, hunting through SharePoint folders for the right documents, chasing colleagues for missing inputs, and manually drafting submissions. Ritivel deploys AI agents that transform how regulatory teams work. Our agents generate comprehensive first drafts directly in Microsoft Word, following FDA formatting requirements and pulling from your existing clinical data and prior submissions. Every data point includes citations linked back to the original source, so reviewers can verify with one click. Connected to SharePoint and Veeva, our agents automatically source the right documents. Integrated with Outlook, they handle reminder emails and follow-ups automatically. We're engineers who previously built AI copilots at Microsoft Research. After 50+ conversations with pharma professionals, we discovered the critical bottleneck in regulatory submissions and built Ritivel to solve it.

Opalite makes it easy for healthcare providers to communicate with non-English speaking patients. We’re built to work inside existing clinical workflows, so providers can communicate in real time without waiting for an interpreter or delaying care. Opalite is available instantly, 24/7, and replaces traditional interpretation services with software that’s more reliable and saves millions of dollars per year. We've built a voice AI system that is the safest, most compliant, and most accurate medical interpreter in the world.

Prana replaces the reactive, 15-minute annual physical with continuous, proactive care. We connect to your medical records and wearables to watch for "clinical drift," catching subtle declines in health that human doctors miss between visits. Most AI health apps are just chatbots. Prana is a full-stack medical provider. Our AI acts as a always-on physician that watches your data, explains your labs, and manages your prescriptions. Safety & Scale: We automate 90% of the "grunt work" (history taking, logistics, triage) so our human doctors can focus purely on high-leverage decisions. This allows us to offer 24/7 physician care for a fraction of the cost of traditional care. The Team: - Meer Patel (CEO): JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments. - Vishvam Rawal (CTO): Ex-Quant. Building high-frequency data infrastructure for health signals. - Sanjit Menon (CHO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine. Traction: Live in beta with early users.