Live Trial Match Estimator— updated May 30, 2026

Find your trial
pipeline in
90 seconds.

AI eligibility parsing matches patients to active trials before the pre-screening call. Site coordinators, sponsors, and CROs cut enrollment timelines by 74% on average.

Configure Match
LIVE
Matched Trials
—
active protocols
Median Days
—
to first enrollment
Active Sites
—
within radius
Site Density Heat Map
Low density
High density
Run estimator to activate
512,000+
Trials indexed
8,400+
Sites onboarded
2.1M
Pre-screens automated
74%
Avg. enrollment acceleration
74% faster pre-screening
3.2× enrollment velocity
98% eligibility accuracy
50% fewer screening failures
9 months avg. timeline reduction
30% better patient retention
10 business day site activation
93% EHR parsing accuracy
74% faster pre-screening
3.2× enrollment velocity
98% eligibility accuracy
50% fewer screening failures
9 months avg. timeline reduction
30% better patient retention
10 business day site activation
93% EHR parsing accuracy
Evidence Base

Numbers before
narratives.

74%
faster
Pre-screening speed
AI eligibility parsing reduces manual chart review from weeks to hours — processing structured EHR data, lab results, and genomic records with 98% accuracy.
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3.2×
velocity
Enrollment acceleration
Sites using Enroll enroll patients 3.2 times faster than industry median — driven by pre-scored eligibility queues and automated outreach sequencing.
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50%
reduction
Screening failures
Advanced AI analysis compresses screening failure rates in half by surfacing only protocol-eligible patients — eliminating the most expensive waste in clinical recruitment.
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9 mo
saved
Enrollment timeline
Custom screeners fine-tuned to inclusion/exclusion criteria save partners an average of 9 months on enrollment timelines — turning quarterly misses into quarterly wins.
View methodology
How It Works

The funnel that
doesn't leak.

Traditional recruitment loses patients at every stage — from EHR to coordinator call to consent. Enroll seals each drop-off point with AI that works while your team sleeps.

EHR parse accuracy
93%
Eligibility check accuracy
98%
Site activation time
10 days
Avg. calls to consent
3
Enrollment Funnel
Real-time pipeline
Patient Universe
2.1M
2.1M patients indexed
AI Pre-Screening
798K
93% EHR parse accuracy
Eligibility Scoring
462K
47-point criteria matrix
Site Matching
252K
8,400+ active sites
Coordinator Queue
126K
Avg. 3 calls to consent
Consent & Enrollment
67K
3.2× industry velocity
Dashboard status: PIPELINE ACTIVE
Last sync: 08:35 PM
Client Results

From coordinators
who've been in the room.

"

Our Phase III was 6 months behind target. We onboarded Enroll on a Thursday. By the following Friday, we had 4 new rescue sites activated and 89 pre-qualified patients in queue. We hit enrollment in 11 weeks.

11 weeks to full enrollment
Marcus Webb
VP Clinical Operations · Meridian Therapeutics
Case study
"

We used to spend 3 hours per patient on pre-screening calls. Enroll flags qualified patients before I open the chart. I'm running 4 studies with the same bandwidth I used to give to 2.

4 concurrent studies, same FTE
Dr. Sarah Kim
Clinical Research Coordinator · Northwestern Medicine
Case study
"

Sponsors burned $2M on site activation costs and discovered 70% of patients failed screen four months in. Enroll catches that before activation. The ROI math is not complicated.

70% screen-fail eliminated
Priya Nair
CRO Director, Patient Recruitment · Apex Clinical Solutions
Case study
"

The genomic marker we were screening for appeared in fewer than 3% of the target population at our sites. Enroll's biomarker-aware matching found us 47 qualified patients across 6 sites we hadn't considered.

47 patients, 6 new sites
Dr. James Okonkwo
Principal Investigator · Vela Biosciences
Case study
Trusted by leading sponsors, CROs, and research sites
Meridian Therapeutics
Apex Clinical
TriHealth Research
Northwestern Medicine
Vela Biosciences
Cascade CRO
Luminary Trials
Orbit Health
Full Platform Access

See your trial
pipeline now.

Connect your EHR, set your protocol parameters, and watch the dashboard flip from red to green. Full eligibility parsing, site matching, and coordinator queue — live in your environment.

AI eligibility parsing across your full patient universe
Real-time site density and capacity matching
Pre-scored coordinator queue — no manual search
Protocol-specific biomarker and genomic filtering
No credit card. No 30-day trial. Full access from day one.
Free Research

2026 Enrollment
Benchmark Report.

Industry enrollment velocity benchmarks across 12 therapeutic areas, 4 trial phases, and 6 geographic markets. 89 trials analyzed. Know where your timeline stands before the board meeting.

89
Trials analyzed
12
Therapeutic areas
340+
Enrollment benchmarks
48
Pages
Two fields. No phone number. No sales call.