Top contenders at AI Fund hackathon — selected for Vocal Bridge pilot program
AI-Powered Clinical Trial Matching

Find your clinical trial in minutes, not months

TrialMatch uses AI to search 400K+ trials, evaluate every criterion, and match cancer patients to the right trials — through a simple conversation.

5%
of cancer patients join a trial
75%
would enroll if told
400K+
trials to search through
The Problem

Clinical trials are failing patients

80% of clinical trials fail to enroll on time. Only 5% of cancer patients ever join a trial — yet 75% would enroll if someone told them about it.

80%
of trials miss enrollment
5%
of cancer patients join
75%
would enroll if told
$8M
lost per day in delays
Why it's broken

Three failures, one outcome

🏥

Doctors can't help

15-minute appointments, no incentive to refer, focused on standard treatment.

💻

Websites are unusable

400K+ trials, medical jargon, 30+ criteria per trial. Exhausted patients can't navigate this.

📞

Phone calls don't scale

Coordinators overwhelmed, patients don't know what to ask. Each failed screen costs $1,200.

Our Solution

Match in three steps

Share your story, and TrialMatch does the rest.

1

Share

Voice conversation, document upload (pathology, labs, imaging), or type through web/mobile.

2

Match

AI searches 400K+ trials, evaluates every criterion. 87%+ accuracy validated by NIH benchmarks.

3

Act

Ranked trials with plain-language explanations, scored by fit, with direct contact for each site.

Early Access

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Thank you for your interest. We'll be in touch when TrialMatch is ready for you.

The Team

Built to execute

Joel Wang
CEO / CTO
PhD in CS (UCSD). Decade+ in software as entrepreneur. CTO at social media companies with 10M+ users. Expert in voice AI & document processing.
Martin Schneider
Chief Medical Officer
MD/PhD, Stanford Medicine. Clinical Research Manager. Clinical validation and medical criteria expertise.