Health Tech Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2026

We exist to lift as many people up the socioeconomic ladder as possible. We dramatically improve lives by letting professionals turn extra time and ambition into career growth and financial opportunity. We achieve this with our app-based marketplace that connects workplaces and professionals, allowing professionals to book on-demand shifts and workplaces to access on-demand talent.

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 <60 minute access to a physician, 24/7, 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 (CMO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine. Traction: Live in beta with early users.

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 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.

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

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.

Today, it takes months to understand how drugs perform in the real world, delaying safety insights, slowing approvals, and costing lives. Frekil turns that months-long process into minutes, with full auditability and regulatory-grade rigor. Frekil automatically generates real-world evidence of drug performance from EHR and claims data. It acts like an AI Biostatistician that understands medical ontologies and statistical methods, running complex analyses on autopilot. We help Pharma, Biotech, CROs, and Clinical Researchers to run RWE studies 100x faster and produce publication-ready retrospective studies and FDA/EMA-ready evidence packages with transparent lineage in minutes.

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’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.

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. These 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.

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.

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

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.

All-in-one RTM platform designed for physical therapy and powered by AI

At Arini, we’re building the operating system for dental groups. Phones are the backbone of dental operations — 80% of appointments are still booked over the phone — yet practices miss 20–30% of inbound calls. That’s millions in lost revenue every month. Patient engagement is the biggest bottleneck to growth in dentistry, and we’ve built the most comprehensive AI-powered patient engagement suite in the industry. Arini manages calls, texts, and bookings. We’re going after a $220B, overlooked industry that still runs on legacy systems and outdated workflows. Arini is bringing AI to every part of the dental stack.

Scritch is building the leading AI systems for veterinary medicine, starting with voice agents that automate front-desk operations in veterinary practices.

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. Andy 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. Home 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.

Over 80% of maternal mortalities were preventable with earlier intervention. Currently, doctors miss >50% of moms who have life-threatening complications and wait until labor to start doing manual risk assessments, at which point it's too late. Elythea's proprietary ML models catch life-threatening obstetric complications (like postpartum hemorrhage, preeclampsia/eclampsia, emergency c-section, preterm labor, and more) as soon as the first visit. We automatically analyze relevant demographic and clinical risk factors, flag high-risk patients, and provide evidence-based interventions, giving doctors months in advance to intervene and prevent complications from ever happening. Our global clinical studies have shown that we can catch 3x more complications than clinical judgment 10x sooner.

Auricle is a medical device company building a breakthrough neurostimulation implant to restore hearing in millions of patients who no longer benefit from hearing aids, get less than 60% on a word recognition test, but aren't prepared to make the jump to a cochlear implant. Our approach preserves remaining natural hearing through a reversible and less invasive surgery, addressing the key concerns that hold most patients back from getting a cochlear implant (currently the only treatment option for these patients). The company spun out of Stanford Biodesign having completed two acute human clinical studies demonstrating the approach will work. The team is now focused on developing their full implant system for their first clinical trial. Auricle addresses a currently unserved profile of hearing loss that affects a growing population of 3.5 million patients in the US and represents an immediately accessible $1.2B market opportunity with existing reimbursement.

Orchid is an AI-powered Electronic Health Record (EHR) for independent mental health professionals that saves them time, money, and frustration by integrating core administrative workflows, streamlining clinical processes, and automating manual flows.

There are billions of dollars of hospital waste caused by inefficient, disconnected supply chains and finance data. Today, clinics are facing unprecedented backorders, recalls, and purchase verticals (medical devices, SaaS, security, commodities). We are building a single product to 10x a fragmented industry with each tool built almost 20 years ago.

We empower clinicians with our AI platform for developing differential diagnoses and drafting clinical plans.

Entvin is building AI agents specifically designed to support regulatory teams in the life sciences industry. Our 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.

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. Knowtex 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.

Malama offers doula-led holistic support during and after pregnancy at no cost to patients. Malama is in-network with Aetna, UnitedHealthcare, Anthem, Kaiser, and several Medicaid Managed Care Plans. Malama is backed by the Stanford d.school, Y Combinator (S22), Alpine Investors and more.

Delfino AI helps automate the repetitive phone calls that providers' offices make to payors

$1 T is spent today on back office tasks such as patient triaging, intake, eligibility checks, prior auths and claims. Specialized knowledge is required to complete these tasks making them prone to errors and bottlenecked by staffing. Lamar Health takes the burden off of providers and intelligently automates these tasks. Starting with specialty medications.

Current Description: RTHM provides virtual-first care for complex illness including Long COVID, ME/CFS, POTS, and mast cell activation. Many clinics focus on teaching patients how to better cope with symptoms, which is helpful, but we don’t stop there. We develop collaborations & partnerships so our patients access to the most promising testing and root-cause directed early therapies for their illness(es) with the goal of simplifying and streamlining the most efficient and effective clinical pathways so they can be scaled in the form of low cost online modules overseen remotely by clinicians. In conjunction with clinical care, RTHM operates a clinical lab and collects deep molecular data with robust clinical context to develop AI-powered diagnostics and better ways of predicting which treatments may work best for whom.

Digital health holds a lot of potential but is ignoring a growing problem: diagnostic testing. Without this data, providers and organizations will be limited in the services they can provide patients at home. Scout has developed a platform - Hub, test kits, and app - that delivers health testing at home with 10x lower development cost and 3x lower per-test price. Our patented tech also meets performance requirements for medical diagnoses and integrates with the current healthcare tech stack. Scout’s technology is poised to disrupt the outdated $33Bn diagnostic market by democratizing testing while dramatically improving the patient experience. Scout has received $16M in non-dilutive funding from the NIH and other organizations to fully de-risk our platform, and our pipeline includes a diverse test menu for primary care (e.g. respiratory and sexual health), wellness (e.g. gut health), and chronic conditions (e.g. certain cancers). We have already received FDA authorization for our platform in clinical settings and are planning to launch our flagship Scout Hub in 2024.

Building a standard-of-care medical device to freeze abnormal cells before they become cervical cancer, in any clinic, anywhere in the world, at 1/10 the cost. -- Ananya Health is building a portable cryoablation unit designed for every primary care clinic in the world. Our beachhead application is cervical cancer prevention -- even though cervical cancer is easy to screen for, 80% of clinics worldwide lack the infrastructure and specialized staff to treat at the earliest stages. Our platform technology allows nurses and lower level health workers to treat at the point of care for 1/10 the cost of traditional ablation, and is the only cryo device that will help us achieve the WHO target to eliminate cervical cancer in our lifetime.

We’re building the autonomy layer where AI agents, people, and robots work as one team.

Our mission is simple: challenge archaic rules and implied medical conventions in healthcare to better serve patients and physicians. Gradia is the backbone of the entire patient experience, helping patients get personalized, high-touch care while also making clinics more money. With our software patients can stay informed/educated about the status of their care, easily communicate with their providers, and get direct access to a specialized virtual care team. Our software is currently at several clinics across the Southeastern US and helping thousands of patients get the care they deserve. 

Chorus is a mobile app and coaching program that helps employees sleep better. We do this by combining sleep coaching, short lessons, and relaxing audio sessions that help employees, and their families, fall asleep faster and get better quality sleep through the night.

Osmind is the premier platform for clinicians and researchers advancing new life-saving mental health treatments. 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. The 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). The core electronic health record (EHR) technology is precisely developed for interventional treatment workflows and designed to support a strong therapeutic alliance, including journaling tools and assistance with health plan reimbursement, which is a significant access hurdle for millions of patients. Research from our platform is already helping to set new standards for mental health interventions. For example, in the largest published real-world analysis of ketamine infusion therapy for depression, we teamed up with Stanford University School of Medicine to share findings in the Journal of Affective Disorders (March 2022). We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes. Osmind is a San Francisco–based public benefit corporation led by scientists, technologists, and psychiatrists. We are backed by top investors including DFJ Growth, General Catalyst, Future Ventures, Tiger Global, and Y Combinator.

Juno is a fully offline, local-first autonomous AI agent engineered to control and operate medical imaging and diagnostic devices—such as Siemens Healthineers' MRI and CT scanners, hematology analyzers, and PCR machines—with human-like proficiency, powered exclusively by an Embedded System on Module (SoM) AI accelerator. Designed as a "virtual technician," Juno observes device interfaces, reasons over contextual data, and executes actions in a closed-loop system, automating calibration, workflow execution, and optimization without any cloud dependency, internet access, or external APIs. This architecture draws inspiration from agents like ManusAI and Microsoft Copilot's Computer Use Agent (CUA), adapting their observation-reasoning-execution paradigms to treat medical device UIs as controllable "virtual desktops," but confines all processing to edge hardware for compliance with stringent medical safety standards and operational reliability in disconnected environments.

Segmed provides at-scale access to novel clinical data globally, offering millions of diagnostic-grade medical images to accelerate innovation and mature the evidence needs of life sciences and technology industry. ‍ Our solutions allow you to access a Real World Data (RWD) network to facilitate rapid discovery and investigational capability of imaging data, development of early disease detection & prediction models, improved patient recruitment and reduced operating burden to access therapeutic data ecosystem.

Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. We run one of the largest medical groups for complex, low income patients and our next chapter is building a vertically integrated AI care manager to support any clinical, behavioral, or social need for everyone.

We help healthcare companies run their practices. Eligibility, BI, claims, patient payments? Shoot us an email at founders@aperohealth.com Apero is a Y-Combinator-backed startup based in San Francisco bringing transparency and ease to medical billing. As one of the top startups from the Summer 2019 Y Combinator batch, we have raised from well-known investors including the creator of Gmail Paul Buchheit and the founders of Doctor on Demand, Gusto and Reddit, and serve startups that have raised over $1B in Venture Capital. The founding team are Stanford CS and Berkeley grads and include the CTO of Doctor on Demand having helped raised $240m and process millions of video calls. We are also hiring for engineers and product-minded operations people interested in giving price transparency to patients and providers. We serve practices nationwide, and integrate with leading EHRs as well.