PIPELINE · EARLY ACCESS · COMING SOON

AI-native Risk-Based Monitoring for the modern clinical trial.

OpenTrial is a pipeline product. It is in design today, with early access opening to a small number of clinical trial sponsors and CROs in the second half of 2026. There is no live demo yet. Join the early access list to be among the first.

OpenTrial will bring the OpenLI agentic AI foundation to clinical trial Risk-Based Monitoring (RBM) lifecycles. Built on the same OpenLI Codex runtime that powers our shipping healthcare integration products — with the same governance, audit trail and dual-runner architecture, specialised for the clinical trial sponsor and CRO buyer.

Pipeline · Early Access Early access opens 2026 H2 Built on OpenLI Codex

Why OpenTrial — the vision

Clinical trial Risk-Based Monitoring is shifting from spreadsheet-driven monitoring to real-time risk surfaces. AI-assisted RBM is the obvious next step, but the regulated nature of clinical trials means agentic systems must come with governance built in — not bolted on. That is exactly the OpenLI Codex thesis. OpenTrial applies it to the pharma sponsor and CRO buyer.

Built on a governed foundation

OpenTrial will inherit the OpenLI Codex governance posture: 7-tier RBAC, audit trails on every agent action, human approval gates, PII sanitisation hooks. Aligned with ICH-GCP and 21 CFR Part 11 expectations from day one.

The same security review

Pharma buyers who already use OpenLI HIE, IMX Monitor or Integrai will have already done the OpenLI Codex security review. OpenTrial inherits that posture — one less procurement gate to clear.

Pre-launch commitment

OpenTrial is explicitly in the OpenLI roadmap as a v1 priority for 2026 H2. Early access opens to a small number of sponsors and CROs first; general availability follows once the early-access cohort has run real protocols on the platform.

What we’re building

The capabilities below are the planned scope of OpenTrial v1. They are not shipping today; they describe what early-access participants will see.

RBM lifecycle management

Will support: the full RBM lifecycle — risk identification, KRI definition, monitoring, escalation and close-out — as a versioned, auditable workflow.

Protocol deviation pattern detection

Will support: agentic detection of protocol deviation patterns across sites, with confidence-scored findings reviewable by the central monitor.

Central monitoring signal review

Will support: central monitoring with AI-drafted signal reviews, surfaced as evidence-backed hypotheses for the central monitor to confirm or reject.

Site-level risk scoring

Will support: site-level risk scoring against KRI thresholds, with explainable contributing factors.

EDC / CTMS / eTMF integration

Will support: integration surfaces for the major Electronic Data Capture, Clinical Trial Management, and electronic Trial Master File systems.

Multi-tenant for sponsor + CROs

Will support: multi-party trial governance — sponsor and one or more CRO partners on a single trial, with appropriate data and action visibility per party.

Full audit trail

Will support: immutable audit trail of every agent action and every human decision. Designed for ICH-GCP and 21 CFR Part 11 alignment.

Dual-runner architecture

Will support: the same Claude Agent SDK + OpenAI Codex SDK dual-runner architecture as the rest of the OpenLI portfolio. No vendor lock-in for the AI substrate.

Whitelabel for CROs

Will support: whitelabel deployment for CROs who want to offer OpenTrial under their own brand to their own sponsor clients.

FOUNDATION

Built on OpenLI Codex

OpenTrial is being built on the same OpenLI Codex foundation that powers every shipping product on the OpenLI family tree. The runtime, the governance framework, the audit trail, the dual-runner architecture — all already in production today across our healthcare integration cluster.

PIPELINE · EARLY ACCESS

Be among the first to run RBM on a governed AI-native foundation.

OpenTrial early access opens in 2026 H2. Join the list for sponsors, CROs, and biotech operators who want to be in the early-access cohort.