Enrollment, at the speed of trust.

AI-native participant identification and trial awareness, empowering clinical research.

Improved trial efficiency. Reduced screening failure. Higher site ROI.

For sponsorsReal eligible population, before you activate a site.For physicians and health systemsIdentify participants and potential trial matches at the point of care.

Built on a live network, not a projection.

0+
connected practices
0+
EHRs
Decades
of healthcare data infrastructure

Feasibility and enrollment start in the exam room.

Sponsors get real patient data instead of projections because that relationship already exists. Physicians and health systems get a tool that fits inside work they're already doing, because it was built to sit there from the start.

See your real patient population before you activate a single site.

Skip the questionnaire estimates and the investigator intuition. This is a protocol-level view of eligible patients, powered by longitudinal EHR data from real patient records.

76% of sponsors report overestimating their eligible population.

  • 31%

    median enrollment shortfall against the planned sample size

  • 11%

    of sites enroll zero patients

  • 40%+

    of trials amend their protocol before the first patient visit

  • $600K to $8M

    per day lost to enrollment delays in late-stage trials

  • $50B

    per year lost to slow enrollment across the industry

What changes

Your protocol is matched against real, longitudinal patient records, not projections, before you commit a single site budget.

What you get

  • Fewer dead sites

    Sites are chosen on real eligible counts, not questionnaire estimates.

  • Faster enrollment

    Candidates are identified and evidenced before the site opens, not after.

  • Lower amendment risk

    Criteria are tested against real records before they are locked.

  • Trials that run efficiently

    From feasibility to last patient in, on one continuously updated view.

From protocol to patient, without the manual middle.

  • 01Ingest

    Inclusion and exclusion criteria extracted straight from the protocol.

  • 02Understand

    Every patient record, structured and unstructured (notes, labs, imaging, history), becomes one continuously updated, FHIR-native record.

  • 03Match

    AI scores and ranks patients against every active protocol, continuously, in the background.

  • 04Review and consent

    Physicians review evidenced matches inside their existing workflow. Nothing moves without consent.

  • 05Enroll

    Ranked, audit-ready candidates reach coordinators ready for outreach, not a stack of charts.

Your data stays inside your walls. Every match traces back to source.

  • Certified

    HITRUST e1, SOC 2, HIPAA and ONC Certified Health IT, with FHIR-native interoperability.

  • Inside your EHR

    FHIR-native and SMART on FHIR compatible, working inside all compatible EHRs with no custom integration required.

  • Audit ready

    Every action is logged, with a full trail from source document to decision.

  • Consent first

    Nothing moves without the patient's consent and the physician's approval.

The research behind it

The Enrollment Gap

Why eligible clinical trial participants are already in your EHR

Why four in five trials miss their enrollment timeline while the eligible patients sit inside the EHR, and how academic medical centers close the gap with longitudinal patient intelligence.

18 min read · for research leadership and research operations

Read the white paperDownload the PDF
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