Clinical-trial recruitment, reimagined

Find the patients your trial is missing.

Coris Match reads the chart and the image. Imaging AI, a clinical-notes LLM, and discrete EHR data turn your full patient population into a verified, coordinator-ready candidate list.

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Eligibility pipeline

Your full patient populationevery candidate

EHR exclusions appliedcomorbidities, meds, age

Imaging AI classificationscan findings

Biomarker measurementprotocol thresholds

✓

A verified shortlistfound & confirmed in minutes

See it live in a demo →

Why recruitment stalls

Eligibility hides in the image — and in the notes.

The criteria that decide a patient — imaging findings, disease severity, prior treatment — live in scans and free-text notes, not in structured fields alone. Code-based screening quietly misses qualifying patients across every indication.

The platform

Three engines, one candidate list.

Eligibility is scattered across scans, notes, and structured fields. We built a model for each — and run them together.

Imaging AI models

Purpose-trained models read medical images directly. The library is designed to grow into new modalities and areas over time.

Clinical-notes LLM

A language model reads free-text clinical notes the way a coordinator would — surfacing eligibility signals that never make it into structured fields.

Discrete EHR extraction

We pull structured variables — diagnoses, medications, labs, demographics, and visit history — to apply inclusion and exclusion rules precisely.

One platform, room to grow. The same engines are built to extend to new biomarkers and areas over time — so the platform can grow alongside your pipeline.

Proven in practice

We've already run this on a live trial.

On a live trial, Coris Match surfaced far more trial-ready candidates than the site's manual, referral-based process — found and verified in minutes.

See the results in a demo

trial-ready candidates than manual referral surfaced

Faster

minutes from raw data to a verified call list

Live

candidates from the list are in screening today

Why Coris Match

The only engine that reads both the chart and the image.

Built for your protocol

Purpose-built and iterated for the trial's exact eligibility criteria — not a generic recruiter pointed at a new problem.

EHR, notes & imaging — unified

Structured data, free-text notes, and image-derived criteria run in one workflow, so nothing falls between disconnected tools.

Clinician-verified

Every match is explainable and confirmed by a clinician before it reaches a coordinator.

Built to maximize capture

Designed to surface every eligible patient, then confirmed in a fast review step — hours of chart work compressed to minutes.

Who we are

Niranjan Manoharan, MD

Chief Medical Officer · Founder

Jayashree Kalpathy-Cramer, PhD

Chief Technology Officer · Founder

Naresh Mandava, MD

Chief Science Advisor · Founder