FinchNode records + AI pre-screening

The right patients, found before the trial stalls.

Upload a protocol. Connect a patient’s records. AI matches them in seconds.

Open workspace See how it works
Ollie, the InnoPair otter
Workspace OverviewStudiesFollow-ups Search studies

Live workspace

Good candidates, sooner.

Alex Rivera · FinchNode snapshot · 4 categories authorized

Age34 ConditionType 2 diabetes A1c6.4%

Best match

98%CLEAR-01

Early diabetes intervention

Coordinator alert

1 shortlist ready Evidence attached · Ann Arbor Review
  • CLEAR-01 Early diabetes interventionShortlist
  • SLEEP-07 Connected sleep studyNeed info
  • HEART-22 Cardiovascular riskNot a match

Evidence

Age 18 or older Pass Type 2 diabetes Match A1c ≥ 6.0% Review
31 weekson average to set up data and get a match
$200,000burned for every failed trial
Secondsto turn a protocol into matched patients

The story

From invisible patients to full studies.

Scroll through it, or jump to a chapter.

01 · The problem

The right patients remain invisible.

As medical innovation accelerates and trials become more specialized, the right patients remain invisible, leaving studies under-enrolled, breakthroughs delayed, and research budgets under pressure.

  • 31 weeks on average to set up data and get a match.
  • $200,000 burned for every failed trial.

02 · Our solution

Recruitment that runs itself.

FinchNode connects a patient’s health records in one step. AI compares them with each study’s requirements and surfaces the right candidates instantly, with the evidence attached.

  • One step. Patients authorize a read-only, consent-filtered snapshot.
  • Instant match. Every criterion is checked, and unknown data stays unknown.

03 · The impact

Studies fill. Breakthroughs move.

When recruitment is automatic, specialized trials stop waiting on invisible patients. Data setup is no longer a 31-week stall, and failed matching stops burning budgets.

  • Enrollment. Candidates are surfaced as soon as a record is connected.
  • Time and spend. Weeks of setup give way to alerts that start a conversation.

Key advantages

What makes InnoPair different

Drop a protocol, get a study

Upload the PDF. AI pulls out every eligibility rule, cites the line it came from, and pre-screens your patients.

Evidence on every match

See what matched, what’s missing, and where the data came from.

Records in one step

Patients connect through FinchNode and choose exactly what to share.

How it works

Upload, connect, match.

  1. 1

    Upload

    Drop in a study protocol. AI turns it into checkable rules.

  2. 2

    Connect

    Patients share their records through FinchNode in one step.

  3. 3

    Match

    The right candidates surface instantly, evidence attached.

Stop losing studies to invisible patients.

Open the workspace and see your first matches in about a minute.

Open workspace