For Sponsors & CROs
MedX is a Houston-based, AI-first clinical research site organization. We embed directly inside trusted physician practices to activate trials faster, enroll patients sooner, and deliver cleaner data to our sponsors.
Our Story
MedX was founded to close the widest gap in modern clinical research: the distance between sponsors running world-class protocols and the community physicians who see the patients those protocols need.
We're based in the Katy–Cypress corridor west of Houston — one of the most metabolically diverse metros in the United States and a population that's chronically underrepresented in sponsor-funded research.
Our model is simple. We place trained research coordinators directly inside independent physician practices, turn their existing patient panel into a live enrollment engine, and back every step with AI tooling designed for the realities of site-level work.
Leadership
Clinical research is changing. Sponsors need partners who understand protocol operations, patient experience, and the technology that connects them. MedX's founders were chosen deliberately across all three.
Co-Founder
7+ years across product management, clinical research, and healthcare — with a working background in software and technology. Leads strategy, sponsor relationships, and AI direction at MedX.
Co-Founder
Clinical research operations background with 3 years of direct experience. Leads physician partnerships, site operations, and day-to-day coordinator deployment.
Investigator Network
Our founding physician partners bring 10+ years of combined clinical practice experience in internal medicine, endocrinology, and cardiometabolic care.
Technology & AI
Most research sites bolt technology onto manual workflows. MedX is being built the other way around — AI-native from day one. AI has already shaped the company we're building, and it's central to every capability we'll deliver to sponsors.
We used AI to map therapeutic area gaps, identify underrepresented metros, and validate the Katy–Cypress corridor as a defensible entry market before committing to our first physician partnership.
AI-assisted analysis of ClinicalTrials.gov activity, investigator networks, and practice profiles — helping us prioritize which independent practices to approach and why.
From financial modeling to protocol feasibility benchmarks to our operating playbook, AI has been woven into how we build — not just what we build.
Our 2026 roadmap integrates AI at every stage of the clinical research workflow — not as a feature, but as the operating layer that connects sponsors, sites, coordinators, and patients.
AI-assisted analysis of incoming protocols against our live physician network, patient panels, and historical performance data.
AI-drivenIntelligent matching across embedded practice EMRs identifies eligible patients faster than any manual chart review.
AI-drivenPredictive modeling of enrollment velocity and screen-fail rates — sponsors get defensible timelines before activation.
PredictiveReal-time visibility across embedded sites — coordinator workload, protocol adherence, deviation risk.
ConnectedAutomated source verification and anomaly detection at the coordinator level — cleaner data hitting EDC, fewer queries.
AutomatedMedX is in its build phase. The capabilities above represent our active roadmap through 2026 — some are live in prototype form today, others are scoped for rollout as we scale our physician network. We commit to transparency: every claim you see here is something we will walk you through in diligence.
What Sponsors Get
Our coordinators work inside the physician's practice — not a satellite site. Patients trust their doctor first; trust follows.
We don't run cold ad campaigns. We activate patients already receiving care from our physician partners — faster, cheaper, more compliant.
The Katy–Cypress corridor is one of the most ethnically diverse metros in Texas. Built for inclusive enrollment from day one.
Modern tooling at every stage — not legacy CTMS bolted to a manual process. Less overhead, more throughput.
Send us your synopsis. We'll return a feasibility assessment within three business days.
Request a Feasibility Review