Three ways in
However you get the treatment, the study comes to you.
Some studies ship an investigational drug to your door. Some follow a therapeutic you and your clinician already chose. Some you design and run yourself. Placebo-controlled, observational, or n = 1 — every path runs from the same app, with the same consent, safety monitoring, and privacy underneath.
Randomized · Placebo-controlled
The study ships it to you
Enroll from your phone, consent, and the investigational treatment arrives at your door. Many of these studies are randomized and placebo-controlled — the design regulators trust most — and everything else, from check-ins to safety, runs in the app.
Browse open studiesObservational · Real-world data
Bring the treatment you’re already on
Taking a therapeutic your own clinician prescribed? Keep your care exactly as it is and join a study that observes it. Your check-ins and wearable data become real-world evidence of how the treatment performs in real life — not just in a clinic.
How patients take partN-of-1 · Single subject
Run a self-trial of your own
No study to join yet? Design a rigorous n-of-1 trial around a supplement, a routine, or a therapy you and your clinician choose — with real single-subject statistics and an honesty layer that never lets a hopeful trend pose as proof.
How self-trials workThe DCT journey
Forty-four stops. One line from patient input to proof.
See exactly where TrialPilot supports a decentralized study, where the product has a distinctive advantage, and where sponsor-led work remains outside the platform.
TrialPilot DCT line
One continuous route from plan to proof
- 1
Plan
10 stops
Make the study operable before launch.
- Patient input
- Protocol design
- Data flow
- 2
Setup
11 stops
Turn the protocol into participant-ready workflows.
- Consent
- eCOA
- Wearables
- 3
Conduct
13 stops
Run the study with a continuous view of risk and progress.
- Safety signals
- Adherence
- Remote monitoring
- 4
Close
10 stops
Move cleanly from final visit to defensible evidence.
- Database lock
- CDISC export
- Participant results
Every stop declares what TrialPilot covers, what remains sponsor-led, and the live product evidence behind the claim.
The clinical trial app that works with real life.
The latest TrialPilot release keeps progress intact, keeps supported work moving through weak connections, and makes the next step clear. Less friction for people. More continuity for the study.
Pause. Your place is saved.
Assessment progress stays put, so people can rest, return, and continue without repeating their work.
Weak signal. Strong continuity.
Supported check-ins, symptom reports, study actions, and self-trial updates wait safely on the device and sync when the connection returns.
See what's saved. Know what's next.
TrialPilot shows when your work is saved or waiting to sync, then gives you a clear way forward if something needs attention.
Live platform
One source of truth. Two points of view.
Researchers get a real-time command center. Patients get a calm, guided app. Both read the same data the moment it's collected — no exports, no reconciliation, no lag.
Enrollment
One link. One scan. They're in.
Share a study link or QR code anywhere — 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.
From invitation to enrollment
Scan. Review. Decide.
A study invitation opens the exact study in TrialPilot, where every participant can understand what is involved before choosing to enroll.
Invitation
Scan the invitation
Enrollment confirmed
You’re in the study
Consent signed · Study active
- 1
Scan the invitation
One link works in email, social, and print.
- 2
Review the real study
See the purpose, timeline, and eligibility first.
- 3
Accepted into the study
Consent is signed and the study becomes active in the app.
The platform
Designed for research without walls.
Retention
Catch dropout before it happens
Engagement analytics flag who's drifting before they're gone — 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 — 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 — 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 — 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 — 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 — 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 — 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 — built around FDA, EMA, and ICH expectations from day one.