Clinical AI

Study Conduct Agent

Detects data quality and enrolment risk while the trial is running.

What it does

Continuously reviews EDC, lab and eCOA streams for anomalies, drift and protocol deviations, escalating with a clear explanation and the exact records that triggered the signal.

Capabilities

Cross-source anomaly detection
Protocol deviation clustering
Enrolment trajectory forecasting
Risk-based monitoring triggers

Observed outcomes

Query volume: -38%
Issue detection: 11 days earlier

Figures are drawn from delivered programmes and vary by data maturity and scope.

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Study Planning Agent

Stress-tests protocol design against feasibility and burden reality.

-35% Amendment risk2x faster Design cycles

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Site Management Agent

Ranks site performance and predicts which sites need intervention.

-22% Activation time+2.1x Low-enroller rescue

Clinical AI

Regulatory Intelligence Agent

Tracks guidance changes and maps them to affected programmes.

-58% Review effort100% Traceability

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.

Talk to an architect

See the work

Study Conduct AgentStudy Conduct Agent

What it does

Capabilities

More Clinical AI agents

Study Planning Agent

Site Management Agent

Regulatory Intelligence Agent

Bring a real problem. We will bring the architecture.

Study Conduct Agent