If you want a glimpse into where healthcare innovation is headed, Mayo Clinic is the place to look.
In its October cohort, Mayo Clinic has handpicked 11 healthtech startups for its 2025 Platform_Accelerate program. A lineup using AI to take on some of medicine’s toughest challenges, from cancer and chronic fatigue to mental health and hospital inefficiencies.
Launched in 2022, almost 60 startups have joined the program. It is becoming a launchpad where promising ideas get the clinical data, mentorship, and validation they need to actually work in real-world healthcare.
But what is this program, and how being selected for it make a difference? Let’s find out.
What is Mayo Clinic’s Platform_Accelerate Program?
Platform_Accelerate program by Mayo Clinic is a bridge between innovation and clinical reality.
The 30-week program helps early-stage startups move from prototype to practice. It gives them access to
- Mayo Clinic’s de-identified, longitudinal clinical data
- Expert mentorship from its physicians, scientists, and business leaders
- A testbed to refine and validate their solutions for real clinical settings
Each cohort follows a structured path: onboarding, model refinement, and a final Demo Day, where startups pitch to investors, providers, and health-tech partners.
Along the way, the startups gain credibility. And in healthcare, trust and evidence are the currency of progress.
As Dr. John Halamka, President of Mayo Clinic Platform,explains, the goal is to “translate promising AI ideas into safe, scalable solutions that improve patient care.”
This year’s cohort reflects that mission, offering a glimpse into how quickly AI innovation is moving from lab to bedside.
Mayo Clinic’s 2025 platform accelerate program cohort: 11 startups to watch
1. Bowhead Health
Founders: Francisco Diaz-Mitoma, Rhea Mehta, PhD, Dr. Francisco Diaz-Mitoma, MD, PhD
Year: 2015 | Country: United States (Ottawa, Canada)
Bowhead Health is building an AI-powered platform that connects what doctors see in medical scans with what’s happening at a genetic level. By analyzing imaging data, like CT or MRI scans, their technology can predict the genetic mutations driving diseases like cancer.
This helps doctors tailor treatments more precisely and match patients to the right clinical trials, without always needing costly or invasive genetic testing.
2. Cleancard
Founder: Luca Springer, Thomas Carroll
Year: 2021| Country: United States (San Francisco)
Cleancard is developing an at-home rapid cancer-detection test that works more like a pregnancy test: simple, quick, and usable without needing a complex lab. Using synthetic biology and AI, they analyse biomarkers from urine in under 30 minutes.
Currently, their platform can identify prostate, bladder, and ovarian cancer. The startup is working to expand the number of conditions it can detect from a single sample using its platform technology.
3. Dart Health
Founder: Brian Sage, Jason Cole
Year: 2022 | Country: United States (Denver/Colorado)
Dart Health uses artificial intelligence and data-engineering services to help healthcare payers, providers, and benefits administrators rapidly deploy hospital-wide AI solutions. It connects to and uses eligibility, claims, and benefits data faster than usual, reducing time, cost, and complexity in health data onboarding and interoperability.
4. Kanjo Health
Founder: Sophia Parvizi-Wayne, Stefan Bostock
Year: 2021 | Country: United Kingdom (London)
Kanjo Health is building an AI-driven platform to help identify and support children with ADHD and autism earlier and more effectively.
By combining behavioral data, caregiver inputs, and digital assessments, Kanjo aims to make mental health care more personalized, scalable, and accessible. It gives families and clinicians clearer insights into a child’s needs and progress over time.
5. Koroid
Founder: Stan Koroid, Gustaf Axelsson
Year: 2023 | Country: United States (Boston)
Koroid provides a logistics and operations platform for healthcare organisations. It handles staffing, scheduling, and resource allocation with predictive analytics using AI to optimise how resources and people are deployed so patient care is better supported and costs are lowered.
6. MedLink Global
Founder: Ran Yang-Chawla, Dr. Christoph Correll
Year: 2022 | Country: United States
MedLink Global designs AI-powered tools for psychiatry and mental-health care. It wants to build a system that reduces the long “trial-and-error” cycle in finding what works for mental health patients. Their platform supports diagnosis, tracking, and personalised treatment plans using advanced analytics.
7. MyAtlas Health
Founder: Nita Akoh
Year: 2022 | Country: United States
MyAtlas Health uses data from wearables and everyday behavioural indicators (sleep, activity, stress) along with AI to provide personalised mental-wellness support and preventive care. The aim is to detect early patterns of mental-health risk and intervene before major crises.
8. Ordinatrum Health
Founder: Ali Ozturk, Emrah Yurtçu, Hatem Karapinar
Year: 2011 | Country: United States (Delaware)
Ordinatrum Health focuses on critical-care support systems. Its FDA-cleared virtual ICU and data-integration platform uses AI and continuous monitoring to help intensive-care teams make faster, more informed decisions, streamline workflows, and improve outcomes in high-risk settings.
9. Promed AI
Founder: Michael Zhou, Andrew Liu
Year: 2023 | Country: United States
ProMed AI offers an AI-powered, physician-approved preventive health platform where users can perform at-home clinical-grade blood tests and receive personalised insights and action plans.
Rather than waiting for illness to show up, the service helps you monitor important health markers, understand what they mean, and take proactive steps—supported by both AI and medical professionals.
10. RTHM
Founder: Ryan Kellogg, Jennifer Curtin, Michael Snyder, Eduardo Bohrer
Year: 2018 | Country: United States (Redwood City, CA)
RTHM is a virtual-first care platform for complex, chronic, multi-system illnesses such as Long COVID, ME/CFS, POTS, and others. They combine deep molecular data, wearables, remote care, and AI-supported disease-pathway mapping to offer patients a more structured and insight-driven approach to conditions that are often poorly understood.
11. Radical Health
Founder: Not disclosed publicly
Year: Not disclosed publicly | Country: United States
Radical Health is developing an AI-powered platform for oncology patients that takes your medical records, imaging, labs, and notes, and generates a personalised report outlining treatment options, relevant clinical trials, and key questions for your oncologist.
Their goal is to make complex cancer-care data and decision-making more accessible and actionable—so patients and doctors can navigate treatment with better clarity and confidence.
How being in the program will help these startups
For these startups, being selected means more than just a badge of honour.
- Clinical validation: Working with Mayo Clinic means direct access to rigorous clinical workflows and data, which is often the hardest barrier in health-tech scale-up.
- Credibility: In healthcare, “does it work?” is a harder question than “is it novel?” The Mayo endorsement helps answer it.
- Speed to market: The 30-week programme accelerates development, improves product-market fit, and opens doors to partnerships and investment.
- Address real problems: The selected companies are already tackling major issues like cancer detection, staffing logistics, chronic illness, mental health, and personalised care. The program will help them validate their solutions for real-world settings.
The bigger picture
The global AI in healthcare market was USD 22.45 billion in 2023 and is projected to reach USD 208.23 billion by 2030, representing a CAGR of ~37.5%.
But numbers alone don’t tell the full story. With the market growing rapidly, programs like Mayo Clinic’s play a vital role in shaping that progress.
It combines data access, mentorship, and clinical validation to ensure that innovation isn’t just exciting, but safe, scalable, and usable at the bedside.
As health systems around the world look to integrate AI more deeply into patient care, Mayo’s model shows what responsible innovation looks like. It’s the one guided by clinicians and grounded in real-world science.
What’s next?
Over the next few months, these 11 startups will refine their algorithms, validate them within Mayo’s networks, and prepare for real-world deployment.
For investors and health-tech watchers, this cohort is worth keeping an eye on for breakthroughs and market entries.
