Bring cost effectiveness transparency traceability efficiency to clinical trials.
Beyond recruitment. Phaseo runs three clinical-grade AI agents across the full trial lifecycle — AI Recruitment, Sara (voice), and AI Ops. 10 Indian languages. FHIR R5 · DPDP-compliant · GCP-aligned.
Of every 100 eligible patients, only 8 get screened — the walk-ins at trial sites. The other 92 are scattered across handwritten records, regional-language notes, and fragmented EHRs. Phaseo identifies, reaches, and qualifies them — in their language, with clinical-grade rigor. Every call is a screening event your trial can act on.
The patient pool isn't the problem — sites don't reach it. Most US trials recruit through 30-odd activated sites while eligible candidates sit across thousands of disconnected EHRs. Phaseo runs AI-native recruitment and screening across the full field — 24/7 outreach, eligibility in milliseconds, consent in plain language.
Built for the full trial lifecycle — from finding the right patient to running the trial without operational drag. Every agent is audit-ready, regulator-aligned, and deployed with human oversight.
Identifies eligible patients across EHRs, lab systems, and referral networks — then ranks and scores them against your protocol, automatically.
The voice layer between your trial and the patient. Screening calls, adherence check-ins, adverse-event intake — 24×7, in the patient's language.
The operational spine. Converts source documents into structured EDC records, runs protocol-as-code across your trial, predicts lab-value threshold crossings before they become AEs.
Traditional trials lose patients between scheduled visits — missed adherence calls, unreported AEs after hours, data gaps that compromise the primary endpoint. Sara catches every signal, in every language, around the clock.
Whether you're the molecule's maker or the operator running Phase II/III across sites, Phaseo rewires the economics of clinical trials.
We operate across the lifecycle of a clinical trial — outreach, recruitment, engagement, and monitoring. Each card below shows where the old model breaks and what we do instead. Tap a point to expand.
Identify eligible candidates from any record format. Reach them first, in their language, at a time they can take the call.
Verified eligibility. Informed consent in the patient's language. Every record audit-ready from day one.
A patient app trained on your protocol. Voice and chat agents that answer questions in-context. Adverse events captured when spoken. Visits rescheduled in conversation.
Labs, vitals, visit notes, PROs — every data point captured, structured, and streamed to the CRO the moment it's recorded. Reports auto-assembled, queries closed at entry time.
The four phases above are our standard layer. For anything else your trial demands — workflows, intake models, adaptive designs — we build bespoke agents on the same stack. Your protocol shapes the system, not the other way round.
One patient, start to finish. Every stage — the call, the engine, the human sign-off, the handoff — happens automatically, traceable, and under a minute.
The whole cycle — call, engine, review, handoff — runs in less time than a CRA's first follow-up call.
Call recordings, engine outputs, human sign-offs — every handoff leaves a timestamped, immutable trail.
Enrollments only reach your coordinator after a clinical reviewer validates — zero unsupervised enrollment.
Every month a trial is delayed is a month patients wait. Every month of delay costs sponsors $600K a day. Most of that delay isn't clinical — it's operational. Screening, scheduling, consent, compliance. We built Phaseo to fix the operational failure.
A physician who has run trial operations from the sponsor side — through the Ramatroban trial program and as COO of Ramaban Therapeutics under Dr. Ajay Gupta. Has seen exactly where trial execution breaks, how CRO transparency fails, and what operational oversight actually costs. Now building the system he wished existed.
See the full stack live. We'll screen a real patient in Hindi (Sara), parse a trial protocol into executable code, and walk through a predictive lab trend analysis. Transcript, consent, FHIR payload, and audit log delivered at the end.