Why teams switch
Better data, sooner, from more of the people who matter.
Enroll in days, not years
Simpler protocols and no geographic limits mean you fill a study faster — the difference between a trial that reads the room and one that ages out of it.
Keep the cohort you fought to enroll
Engagement analytics flag who’s drifting before they’re gone, so a coordinator can step in — protecting both the participant and your statistical power.
A cohort that looks like the world
Meeting people at home reaches the rural and underserved populations physical sites miss, so your results generalize beyond whoever lives near a campus.
Evidence from life, not the waiting room
Continuous wearable and check-in data captures what happens between visits — the signal traditional trials only glimpse a few minutes at a time.
Three ways to generate evidence
Ship it, observe it, or let patients run it.
Placebo-controlled, observational, or n = 1 — every design runs on the same consent, safety monitoring, and privacy architecture, from the same command center.
Randomized · Placebo-controlled
Ship the investigational product
Direct-to-patient interventional trials with kit and lot tracking, delivery exceptions, receipt confirmation, and full reconciliation. Randomization and blinding run with a code-vs-arm firewall, so the design regulators trust most works without a site.
Observational · Real-world evidence
Observe the therapy they already take
Enroll patients who are on a therapeutic their own clinician prescribed — their care never changes. Continuous check-ins and wearable streams turn everyday treatment into structured real-world evidence you could never capture from clinic visits alone.
N-of-1 · Single subject
Let patients run rigorous self-trials
Patients design single-subject studies with real SCED statistics and an honesty layer that never lets a hopeful trend pose as proof — and can choose to share their findings with the wider research community.
One command center
Watch the whole study in real time.
Enrollment, engagement, completion, and safety across the cohort — live, in one place. The same data your participants generate on their phones, the moment they generate it. No exports, no reconciliation, no lag.
The serious machinery
Everything the science demands, handled.
Decentralized doesn’t mean less rigorous. Underneath the calm app is the full apparatus a modern trial needs — so your team spends its time on the science, not the plumbing.
A private path from interest to enrollment
Channel-aware recruitment, remote self-screening, and coordinator verification work as one funnel. Staff can decide the criteria they own without seeing participant identity or private answers.
Accountability from shipment to closeout
Manage products, lots, kits, delivery exceptions, receipt confirmation, returns, and final disposition. Every kit stays explainable through the reconciliation report.
Follow risk without widening access
A written monitoring plan, protocol deviations, live risk indicators, and a machine-inventoried audit package give monitors the evidence they need while preserving blinding and de-identification.
One governed lifecycle
Launch readiness, immutable protocol versions, trial-registration clocks, milestones, results reporting, closeout checks, and a verifiable archive stay connected to the same study state.
One protocol that keeps learning
Perpetual, multi-arm designs with deterministic randomization, response-adaptive allocation inside preset guardrails, factorial domains, and a blinding firewall.
A clean dataset, by construction
A versioned, audited managed dataset with an edit-check engine and query workflow — discrepancies resolved in the flow, not in a spreadsheet months later.
CDISC-ready deliverables
MedDRA and WHODrug coding, soft and hard database lock with an audited unlock, and CDISC SDTM + define.xml export generated straight from the source data.
Signals in hours, not the next visit
Continuous monitoring watches wearable streams and patient reports for adverse events, with reporter-not-actor escalation to the right people instantly.
Fits the stack you already run
Connect EHR/EMR systems, lab networks, and research tooling through a comprehensive API. TrialPilot slots into your ecosystem instead of replacing it.
Identity separated by default
Participant identity lives apart from clinical data at the database boundary — designed for FDA, EMA, and ICH expectations, not bolted on at audit time.
The evidence
We don’t make claims we can’t back up.
Faster enrollment, better retention, broader representation, lower cost — every benefit on our research page links to a peer-reviewed study or a regulatory source. Dig in, then talk to us.