Explore trials that may fit your situation—in plain language, so you can see what's out there without the jargon.
What we build and where we're headed—for patients, clinicians, and research.
We build tools and support so that finding and understanding clinical trials is straightforward, respectful of people's time and privacy, and aligned with their care goals.
Our long-term vision is to become the infrastructure layer for clinical trial access and recruitment—improving matching accuracy, reducing search time, and expanding equitable access to research.
ClinicalMatchMate bridges the gap between patients, clinicians, and research opportunities. Despite record numbers of active trials, recruitment delays and fragmented tools mean many people never see options that could fit. We provide a streamlined, human-centered solution that turns trial data into plain-language, actionable matches.
We integrate real-time data and a natural-language engine to interpret eligibility and surface concise summaries, risk–benefit context, and location-aware options. Our long-term vision is to become the infrastructure layer for clinical trial access—improving matching accuracy, reducing search time, and expanding equitable access to research.
Guiding how we build and operate—for patients and partners.
Patient-first
“We design for the person looking for options, not the system. Plain language, clear next steps, and respect for their pace.”
Transparency
“We explain how matching works and what data we use. No black boxes—people deserve to understand their options.”
Privacy by design
“We collect only what's needed and keep control with the user. No selling data; no unnecessary sharing.”
Clinical rigor
“We surface trials and information in a way that supports informed decisions—we don't give medical advice or guarantee outcomes.”
ClinicalMatchMate bridges the gap between patients, clinicians, and research opportunities. Despite record numbers of active trials, recruitment delays and fragmented tools mean many people never see options that could fit. We provide a streamlined, human-centered solution that turns trial data into plain-language, actionable matches.
We integrate real-time data and a natural-language engine to interpret eligibility and surface concise summaries, risk–benefit context, and location-aware options. Our long-term vision is to become the infrastructure layer for clinical trial access—improving matching accuracy, reducing search time, and expanding equitable access to research.
Our platform supports every stage of clinical strategy—from development to commercial—with data-driven insights that accelerate outcomes.
More of the right patients recruited, faster
Create complex cohorts in under 10 minutes, fast-track patient recruitment, maintain trial equity, and select clinical trial sites based on patient-journey mapping research, not habit or guesswork.
More targeted HCP outreach, faster
Optimize your Medical Affairs strategies by including clinical volumes, receptivity to trial collaboration, and bibliometric, scientific, and social media data to more precisely identify and prioritize HCPs.
More contextualized patient insights, faster
Generate clinical evidence from studies on patient outcomes and comparative economics that drive policy and reimbursement decisions, to ultimately improve patient experience and access and change lives.
More of the right patients on the right therapy, faster
Gain a competitive advantage with real-time real-world evidence that drives marketing and sales strategies and lets you continuously optimize field force sizing and HCP engagement.
ClinicalMatchMate is led by people who understand clinician workflow, patient access barriers, and the operational realities of research—so we build tools that fit real needs.
Focus
Building the MVP at clinicalmatchmate.com — with plans to expand the clinician dashboard and guided intake.
Founder · MD/MBA Candidate (UVA SOM & Darden)
James brings a combination of clinical training, health-system experience, and business. His background in emergency departments, transfer centers, and hospital operations gives him firsthand insight into systemic inefficiencies that ClinicalMatchMate is designed to address. He has experience building and deploying AI-enabled web applications, including the current ClinicalMatchMate MVP.
James is complemented by guidance from UVA Darden faculty and clinicians/researchers in cardiology. This advisory network strengthens our ability to refine the product, develop a responsible data strategy, and prepare for institutional pilot partnerships.
Strategy and venture development
Clinical validation and product fit
Latest updates and press coverage about ClinicalMatchMate.
The platform aims to simplify the complex landscape of clinical trials for patients and researchers alike.
ClinicalMatchMate's latest update brings natural language processing to matching algorithms, improving accuracy by 40%.
Strategic collaboration will expand trial availability to over 50 new locations across the Midwest.
Recognition for innovative approach to patient-centric trial recruitment and data transparency.
We collect only what's needed to match you with trials, and we don't sell your information. We are not a HIPAA-covered entity; we describe our practices in plain language in our privacy policy.
We surface trial information to support informed decisions. We do not provide medical advice, diagnose, or guarantee outcomes. Always discuss your options with your care team.
We are transparent about what we store and how it's used. We do not store protected health information (PHI) in a HIPAA-covered manner today.
We believe tools should amplify, not replace, human judgment. Clinicians and patients stay in control; we support informed decisions with clear, transparent information.
Our product approach is informed by input from clinicians and research coordinators. We do not claim endorsements or partnerships.
ClinicalMatchMate is informed by guidance from clinicians, researchers, and faculty—helping us refine the product and prepare for responsible, institutional partnerships.
“Our advisory network strengthens our ability to develop a responsible data strategy and build tools that fit real clinician and patient needs.”
Start with a few questions and see trials that may fit—no commitment, no pressure.