Clinical AI

Study Planning Agent

Stress-tests protocol design against feasibility and burden reality.

What it does

Simulates enrolment, screen failure and site burden for candidate protocol designs using historical trial data, surfacing amendments likely to be needed before the protocol is locked.

Capabilities

Protocol complexity and burden scoring
Enrolment and screen-failure simulation
Country and site mix optimisation
Amendment risk prediction

Observed outcomes

Amendment risk: -35%
Design cycles: 2x faster

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

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Clinical AI

Study Conduct Agent

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

-38% Query volume11 days earlier Issue detection

Clinical AI

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 Planning AgentStudy Planning Agent

What it does

Capabilities

More Clinical AI agents

Study Conduct Agent

Site Management Agent

Regulatory Intelligence Agent

Bring a real problem. We will bring the architecture.

Study Planning Agent