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.

Reinventing medicine from lab to drug discovery. NxtCure CRO- an AI-native, full-stack CRO built to take therapeutics from discovery to market faster. NxtCure Cancer- the all-in-one mobile platform guiding patients through the cancer journey. We’re building the operating system for the future of medicine.

Halmos Labs builds automated biotech R&D on the principles of validity and interpretabillity. We run research, and simulations answering open questions ranging from wetlab experiment design to full cancer vaccine manufacturing.

Allia is the first full-stack, AI-native clinical group for mental health. We bring independent practices into one national clinical group that can deliver, measure, and improve care at scale - 600+ providers (350+ therapists, 200+ nurses & doctors, 30+ psychologists) across 70 sites in 32 states, plus telehealth nationwide. Every clinician runs on a single intelligent system of record. And, that intelligence coupled with scale unlocks what no single practice could achieve alone.

We’re an AI-native biotech, working on replacing needles with pills. Many drugs, like insulin or Ozempic, are wonderful except you have to inject them. We discover new molecules that you can take as a pill instead. Because the pills operate on biology which has been shown to be effective in people, rather than merely in animal models of disease, we avoid what has historically been the single biggest risk in drug discovery.  This should dramatically increase our probability of success. There’s $200B of treatable diseases and validated human biology without a pill because discovery programs lack a tractable chemical starting point. This is a zero-shot inference problem, because these targets have no training data, so LLMs and other historical interpolative AI approaches are insufficient. Instead, we are building our own extrapolative frontier models that reason beyond their training data. Most critically, we have repeatedly validated our platform on both our own and partner programs. On 4 biologically- and structurally-diverse targets where we had zero training data, we successfully picked binders that were validated experimentally, with confirmation ranging from primary screen hits to crystallographic structures.

We've built voice agents for the largest work comp managed care orgs and specialist PT networks in the country, making >500K calls annually and accelerating the speed at which they coordinate care. On average, our customers see a 40% increase in workflow completion, 10x decrease in cycle times, and >60% reduction in cost. We think voice agents are the starting point for solving slow and fragmented care coordination in this market. Companies that manage an injured worker's care rely on short-staffed contact centres and archaic methods of info exchange: phone, fax, and email. Every delay along the path of care leads to slower rehab of the injured worker, lower throughput for providers, and higher expense for the insurer/employer.

Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.6M 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. From past experience, we know that point solutions won’t cut it. While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just 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.

We builds foundational AI models for chemistry. Almost nothing you buy is a single chemical. Products like datacenter coolant, GPU thermal paste, paint, and glue are formulations, which are mixtures of around ten ingredients each, and demand for them has grown quickly because of AI and EVs. Designing a new formulation is essentially a search problem, because there are more possible mixtures than anyone could ever test, and none of them can be predicted in advance. As a result, bringing a single formulation to market today takes three to five years of trial and error in a lab. Our models predict how a mixture will behave far faster than the standard methods used today, which lets us design new formulations in weeks rather than years, at a fraction of the cost. To prove this, we used them to invent three chemicals that never existed before, including a PFAS-free coolant for datacenters, and we have since synthesized and patented all three. We are already working with some of the largest manufacturers to design formulations for them, and we are building our own lab to generate the data that will train our next models.

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.

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. Front 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. Our 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.

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.

The Lumoscope is a multispectral camera that clips onto your phone and scans your skin at home with the same light used in clinics. You see what a mirror can't: a breakout days before it surfaces, and wrinkles changing over time. Our software then reads that history, connects flare-ups to causes you'd never suspect, and matches products to what your own data shows works.

RonanRX is a full-stack pharmaceutical company, starting with personalized peptides and GLP-1s. In our first 10 weeks, we went from having no pharmacy to being licensed in 33 states. Since launch, we’ve grown 50% week over week. We manufacture the medications ourselves, sell directly to patients, and eliminate the layers of middlemen that make prescription drugs more expensive. What makes this possible is AI. Traditional pharmaceutical companies are built to manufacture one drug for millions of people. RonanRX is purpose-built to personalize treatment for each patient: different biology, different response, different dose. Patients come directly to RonanRX or through doctors using our platform. Every patient completes our medical intake, meets with a licensed doctor through our telehealth platform, and receives a personalized prescription when appropriate. From there, we manufacture the medication ourselves and deliver it directly to the patient. Labs, wearables, medical history, treatment response, and other health data feed back into the platform so doctors can continuously refine treatment over time. Before AI, doing this for every patient at scale was impossible. We didn't invent the demand we are seeing. 80 Million people are on a GLP-1 and millions more are using Peptides. We're building a better way to manufacture, personalize, prescribe, and deliver them. Our founders have built and exited multiple companies, raised more than $100M, built a $50M U.S. medical manufacturing business, and spent years developing peptide therapeutics at companies including Eli Lilly and AbbVie. We’re just getting started with peptides and GLP-1s. Next comes hormone therapy and the rest of personalized medicine.

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 is the AI-native retrieval engine for medical records, delivered in one API. I scaled Grow Therapy to a $3B valuation; my cofounder built One Medical's first AI agents, now used by millions of patients. Four weeks in, we already have ten signed customers and 7-figure year-one revenue across platform and usage fees. Every new agentic use case across industries like legal, clinical trials, consumer health, insurance, needs a complete medical record, and today that still means faxes and phone calls. Hubble fixes that with voice and browser agents that reach the providers APIs can't, in a market worth $45B just in the verticals we've mapped so far.

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 lets any healthcare operator describe the internal tool they need and deploy it in one click - connected to production data, with read and write access scoped by the user. Think Lovable or Retool, except purpose-built for the needs of healthcare business that has no engineering team. The bottleneck in healthcare isn't building anymore. Anyone can vibecode an 80% solution in an afternoon, custom to their own workflow, with people already on staff. The tool then dies locally on the builder’s computer, because IT (correctly) won't let anyone deploy a tool touching PHI without first-class authentication and permissioning. Our first customer had multiple employees who had each built useful tools and dashboards locally, but couldn’t actually share these with coworkers or connect to their core practice data. Within weeks of implementing Floracene, they were able to consolidate their BI tooling into Floracene and shipped 4 net-new to production. A staggering ~$200B is spent on administrative software in healthcare every year in the US. Tens of thousands of those companies still run core operations on spreadsheets, and we're at the top of the first inning of AI adoption. 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.

Insurf is the AI-native data and decision layer for health insurance. Our model Surely identifies the lowest-cost coverage for anyone, saving individuals, families, and companies thousands per employee. Our product Inveto collects the data from hospitals and clinics that informs Surely.

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.