One source of truth. Two points of view.
Researchers get a real-time command center. Patients get a calm, guided app. Both look at the same data the moment it's collected β no exports, no reconciliation, no lag.


Enrollment
One link. One scan. They're in.
Share a study link or QR code anywhere β an email, a post, a flyer on a clinic wall. People scan it, download the app, and land directly in your study. No searching. No phone tag. No paperwork.
Share
Link or QR code
Download
Get the app
Study Joined
Enrolled
In the study
Share
Link or QR code
Download
Get the app
Study Joined
Enrolled
In the study
The platform
Designed for research without walls.
Retention
Catch dropout before it happens
Engagement analytics flag who's drifting before they're gone β so you can support the patient and protect the study's statistical power in the same move.
Wearables
Continuous real-world data
Vitals, activity, sleep, and symptoms from Apple Health, Android Health Connect, and clinical-grade wearables β what actually happens between visits, not just at them.
Remote monitoring
Meet patients where they are
Asynchronous check-ins and passive collection let people take part from home, with attention raised only when something actually needs it.
Patient matching
Cohorts that look like the world
Match on demographics, history, and eligibility so your trial reflects the population it's meant to serve β not just whoever lives near a site.
Global access
Research without borders
Run a study anywhere, reaching rural and underserved communities that brick-and-mortar trials have always left out.
Beyond data collection
Medicine-grade insight, not just dashboards.
TrialPilot grew into a clinical platform, not a survey tool. It reads the body's signals, watches for safety problems as they happen, and even lets patients run rigorous studies of their own.
Safety & real-world physiology
Real-time adverse-event escalation, plus objective crash detection and within-person pacing β built for ME/CFS, Long COVID, and other complex chronic conditions.
Patient-led self-trials
A rigorous single-subject (n-of-1) study a patient can run themselves β with real statistics and an honesty layer that never lets a hopeful trend pose as proof.
A result you can trust at a glance
A within-person Green / Yellow / Red read that never cries red on missing data, and points a serious change straight at safety reporting.

A finished study's within-person results β what each participant takes home when the trial ends.
For researchers
Everything the science demands.
Adaptive & platform trials
One protocol that keeps learning
Perpetual, multi-arm designs with response-adaptive randomization inside preset guardrails β and a blinding firewall so interim looks stay where they belong.
Integrations
Connect your ecosystem
EHR/EMR systems, lab networks, and research tooling through a comprehensive API.
Safety monitoring
Real-time safety alerts
Adverse events and safety signals from wearable data and patient reports, escalated the moment they appear.
Regulatory-grade data
Clean data, all the way to export
Electronic data capture with edit checks, medical coding, database lock, and one-click CDISC export β built around FDA, EMA, and ICH expectations from day one.





