We help Phase 2/3 CNS and I&I trials lift enrollment by 27%

Find the right patients — not just more of them

Modern clinops teams use Power to enroll faster, screen smarter, and hit their timelines. We verify patients against real medical records before they ever reach your sites — so every referral counts.

Power site analytics dashboard showing 210 conversations, 90 screenings booked, 5 enrollments, daily call activity by weekday, and recruitment performance recommendations for clinical trial sites

Our impact in 2025

27%lift in enrollment
2.2recruiting months saved
500K+engaged community
Hear from the leading experts in R&D
Mike Gold — Chief R&D Officer, COMPASS Pathways
55:41
MG

Mike GoldChief R&D Officer

COMPASS Pathways

Steve Brannan — CMO, Karuna Therapeutics
53:10
SB

Steve BrannanCMO

Karuna Therapeutics

Ray Sanchez — CMO, Cerevel Therapeutics
54:44
RS

Ray SanchezCMO

Cerevel Therapeutics

John Krystal — Chair of Psychiatry, Yale
1:13:30
JK

John KrystalChair of Psychiatry

Yale

Srini Rao — CEO, Atai / Beckley
44:19
SR

Srini RaoCEO

Atai / Beckley

Mike Gold — Chief R&D Officer, COMPASS Pathways
55:41
MG

Mike GoldChief R&D Officer

COMPASS Pathways

Steve Brannan — CMO, Karuna Therapeutics
53:10
SB

Steve BrannanCMO

Karuna Therapeutics

Ray Sanchez — CMO, Cerevel Therapeutics
54:44
RS

Ray SanchezCMO

Cerevel Therapeutics

John Krystal — Chair of Psychiatry, Yale
1:13:30
JK

John KrystalChair of Psychiatry

Yale

Srini Rao — CEO, Atai / Beckley
44:19
SR

Srini RaoCEO

Atai / Beckley

The problem

Volume without quality is just expensive noise

You've run the social media campaigns. Patients responded — but they didn't qualify. Call centers that don't understand your protocol sent you volume instead of participants. Screen fail rates climbed. Sites got buried in unqualified referrals. And when you asked what happened to the patients who were referred? Silence. No status updates. No conversion data. No way to tell whether the problem was the patients, the sites, or the handoff itself.

The hardest part isn't finding people interested in research. It's finding the right patient — with the right clinical profile, at the right moment in their life — getting them to their visits before the window closes, and actually knowing what's happening at every step.

85%

of trials fail to meet enrollment timelines

60%

of sites miss their feasibility forecast

97%

of patients do not know your investigators

78%

of marketing spend is wasted

How it works

A proactive enrollment network

Most recruitment vendors buy ads and hope. Power is built differently — a closed-loop system where community, data, and site operations compound into faster enrollment.

Research-Curious Community

The fastest-growing community of patients who've actively opted in to learn about clinical trials. Not scraped leads. Not cold outreach. Real people who've raised their hand — and shared their medical records so we can find the right match.

Intelligent Medical Matching

We don't match on demographics and hope for the best. Patients share diagnoses, prescriptions, labs, and visit history — we query against your protocol's I/E criteria to build confidence in clinical eligibility before a single referral is made. Every match is then routed to the right site based on geography, capacity, and each site's specific intake preferences.

Last-Mile Site Enablement

Matching a patient is half the problem. Getting them enrolled is the other half. Our platform manages travel coordination, follow-up automation, and real-time visibility across the entire funnel — so nothing falls through the cracks.

Platform

Specificity you can't get from an ad campaign

Tight I/E criteria. Patients who need to be in an active flare. Diagnoses that aren't reliably self-reported. The harder the protocol, the more our platform matters — because we match on robust patient profiles, not survey responses. And as your pipeline grows, the platform compounds: we match across your programs, learn your site preferences, and accelerate every subsequent study.

JM
Jane M.Verified

Atopic Dermatitis · Age 34

Diagnosis
Duration
Prior Tx
Active Flare

Medical Records Verification

We verify diagnoses, treatment history, labs, and severity from real medical records — so sites know every referral is truly qualified.

Community Growth+30K/mo
JanJunDec
500K+active members

Research-Curious Community

500K+ patients actively interested in clinical research, with 30K new signups monthly — incremental to your existing site databases.

Site Matching Engine
Boston Medical92%
Johns Hopkins87%
Mayo Clinic FL78%
Capacity & preference optimized per site

Per-Site, Per-Protocol Matching

Matching tailored to each site's screening preferences, capacity, and competing studies — so every referral fits.

Patient Journey

Pre-screen Complete

Mon 9:14am

Visit Booked

Mon 11:30am

Travel Arranged

Tue 2:15pm

ICF Signed

Thu 10:00am

Last-Mile Site Enablement

Pre-screening, appointment booking, travel coordination, and follow-up — from IRB approval to signed ICF in under a week.

Referral Funnel
Live
Matched
1,247
Contacted
934
Scheduled
412
Screened
318
Enrolled
142
11.4% match-to-enroll

Full-Stack Sponsor Reporting

Real-time visibility from match to enrollment — every referral status, site response time, and conversion event, as it happens.

Engagement Channels
💬
SMS2m ago

Your visit at Boston Medical is confirmed for Thu at 10am

📧
Email5m ago

Travel details and parking instructions

📞
AI Call12m ago

Follow-up call completed — patient confirmed

5 minavg response time

Omnichannel Engagement

Calls, texts, emails, and an AI call center for after-hours coverage — 5-minute average response time across all channels.


From our partners

What sponsors say after working with us

65% → 48%screen fail rate

"Our site network was exhausted. Power’s pre-qualified patients helped accelerate our pre-screening activities. Their screen fail rate was almost 20% lower than the rest of program."

VP of Clinical Operations

Midcap Pharma · Phase 3 CNS

8 wksenrollment recovery

"You guys have truly differentiated yourselves in that you actually deliver what you say. Call me a fan."

CEO

Late Stage Biotech · Phase 2 CNS

2.2 moof recruiting time saved

"Most vendors promise reach but can’t find the clinical evidence. Power understood the nuances of our protocol and delivered patients who actually qualified. Power delivered the equivalent of 3 of our top sites."

Program Lead, Clinical Development

Top 10 Pharma · Phase 3 I&I

Methodology

Predictable enrollment methodology

We apply engineering rigor to patient recruitment. Every forecast we publish is backed by proprietary data on site performance, patient conversion, and real-time volume dynamics. That's how we've lifted enrollment 27% on average across every study we've supported.

2.7x

Top-performing sites convert phone screens to visits at 2.7x the rate. We scale their playbooks.

32%

Enrollment drops 32% by month 3 without real-time volume allocation. Our platform rebalances dynamically.

Real time

Every referral tracked from match to enrollment. Site response times, conversion rates, drop-off points — visible to sponsors as it happens, not in a monthly PDF.

5 min

Average response time with our omnichannel engagement tools. Calls, texts, emails, inbound routing, real-time notifications — and an AI call center that covers when sites aren't available.

Patient Engagement Across CNS and I&I

SchizophreniaBipolar DisorderTreatment Resistant DepressionGeneralized AnxietySocial AnxietyPTSDADHDParkinson'sAlzheimer'sEating DisordersAddiction
SchizophreniaBipolar DisorderTreatment Resistant DepressionGeneralized AnxietySocial AnxietyPTSDADHDParkinson'sAlzheimer'sEating DisordersAddiction
Atopic DermatitisPsoriasisRheumatoid ArthritisMultiple SclerosisIBDCrohn's DiseaseUlcerative ColitisAsthmaRespiratoryGI Disorders
Atopic DermatitisPsoriasisRheumatoid ArthritisMultiple SclerosisIBDCrohn's DiseaseUlcerative ColitisAsthmaRespiratoryGI Disorders

No commitment required

Get a realistic enrollment forecast for your study

Share a protocol and site list. We'll return addressable patient estimates, site overlap analysis, expected screen fail modeling, and projected enrollment timelines. No commitment. Just data.

Most programs are structured as outcomes-aligned partnerships based on enrollment milestones.

Find the right patients — not just more of them | Power | Power