MatchCare
Your Path to the Right Clinical Trials
An AI-powered patient advocate that matches patients to trials — and explains eligibility with clarity and compassion.
Complexity is Rising. Patients Are Expected to Self-Navigate.
Trial Complexity
Eligibility criteria are increasingly complex with biomarkers, genetics, treatment history.
Patient Empowerment Shift
Patients want agency in their care decisions.
Under-Enrollment Crisis
80% of trials miss enrollment targets, delaying life-saving research.
When patients need clarity the most, clinical trials are the hardest to understand.
Clinical Trial Discovery is Broken for Patients
Eligibility buried in PDFs
Complex documents hide critical information.
Medical jargon
Patients can't understand trial requirements.
No explanation of why someone qualifies
Search tools show trials but not reasoning.
Cognitive overload during treatment
Patients lack time and energy to research.
Three Pillars of Differentiation
Reasoning, Not Search
AI explains why you qualify for each trial, not just listing options.
Plain-Language Explanations
Medical complexity translated into clear, compassionate guidance.
Privacy-First by Design
HIPAA compliant, no data storage, session-only processing.
The MatchCare Journey
Patient Intake
Answer simple questions about diagnosis and health
Trial Discovery
AI finds actively recruiting trials
Eligibility Reasoning
AI analyzes your fit for each trial
Compassionate Explanation
Voice summary in plain language
Clear Next Steps
Actionable guidance on what to do next
Built on Proven AI Technology
High-level technical credibility without overwhelming detail.
Multi-Agent System
specialized AI agents for discovery, extraction, matching, and explanation
Transparent Scoring
every match includes reasoning: matching factors, blocking factors, confidence levels
Voice Explanations
ElevenLabs-powered audio summaries in patient's language
Powered by PDD, Toolhouse orchestration + rtrvr.ai extraction + ElevenLabs voice + Lovable
Why MatchCare Wins
Reasoning Over Search
Explains eligibility, doesn't just list trials.
Compassionate by Design
Voice guidance in plain language, no jargon.
Privacy-Protected
HIPAA compliant, zero data storage.
Our Wedge Strategy
We start with specificity, then expand.
Phase 1 - Initial Focus
- Oncology patients (highest trial volume, clearest eligibility)
- Rare disease patients (most underserved, highest motivation)
- Monetization for storage of user information or clinical trials searched on or needing additional options apart from top 5.
Phase 2 - Expand To
- Patient advocacy groups (distribution partners)
- Hospitals and cancer centers (clinical integration)
- Pharma sponsors (recruitment support)
This shows strategic thinking and market understanding.
A Market Ready for MatchCare
We start here, then expand.
Year 1 - Oncology & Rare Disease
TAM $15B (oncology trial market)
SAM 2M patients (annual oncology + rare disease patients seeking trials)
SOM 50K early adopters (engaged patients in target demographics)
Year 3+ - Expanded Market
TAM $50B+ (global clinical trial market)
SAM 10M+ patients (all disease categories)
SOM 500K+ users (across patient advocacy, hospitals, pharma)
This shows growth trajectory and market understanding.
The Path Forward
EHR Integration
Connect to patient medical records for automatic eligibility.
Clinician Dashboard
Help doctors identify and refer patients to trials.
Trial Coordinator Workflows
Streamline recruitment and patient management.
Longitudinal Tracking
Monitor patient progress and outcomes.
AI Audit Logs & Regulatory Alignment
Transparent, auditable AI for healthcare compliance.
We're Building MatchCare to Ensure No Patient Misses a Trial Because of Complexity.
Why now: Clinical trials are more complex than ever. Patients are empowered but overwhelmed. The under-enrollment crisis is costing lives and delaying breakthroughs.
What we're asking for: [CUSTOMIZE: Seed funding / Pilot partnerships / Strategic partnerships]
Together, we can bridge the gap between medical complexity and patient hope.
Our Team
Dipti Behl
Promila Agarwal
Shreya Saravanan