We're building technology to bridge the gap between patients seeking treatment options and clinical trials that need participants.
Clinical trial recruitment remains one of the biggest bottlenecks in bringing new treatments to patients. Nearly 80% of trials fail to meet enrollment timelines, delaying potentially life-saving therapies.
ClinTrialMatch is an AI-powered platform designed to streamline the connection between clinical research stakeholders and eligible patients. We work with sponsors, CROs, and research sites to improve recruitment workflows, enhance patient engagement, and provide actionable insights throughout the trial lifecycle.
Our platform is currently under active development, and we're working closely with early partners to refine our approach before broader availability.
Every decision we make starts with the question: how does this help patients access better care?
We build with data protection at the core, not as an afterthought. Trust is earned through action.
Clinical trials are time-sensitive. We focus on removing friction and accelerating meaningful outcomes.
We work alongside sponsors, CROs, and sites as partners—not just as a vendor.
Our platform brings together several key capabilities to address the clinical trial recruitment challenge.
AI-powered algorithms analyze eligibility criteria and patient profiles to identify potential matches, reducing manual screening time and improving accuracy.
Real-time dashboards and reporting tools help sponsors and CROs monitor recruitment progress, identify bottlenecks, and optimize site performance.
Built with data minimization principles from the ground up. We handle only what's necessary and follow applicable data protection requirements.
We're a team of clinical research professionals, healthcare technologists, and operators united by a shared goal: making clinical trials more accessible.
We're actively seeking early partners to help shape the platform. If you're involved in clinical research and want to explore how we might work together, we'd love to hear from you.