AI agents
Each agent is grounded in governed sources, evaluated against historical scenarios and instrumented so that every consequential decision has a named human owner.
Commercial AI
Aligns territory, target and incentive decisions with live field signal.
Turns omnichannel engagement into next-best-content decisions.
Monitors formulary movement and models payer scenarios continuously.
Synthesises scientific exchange into evidence gaps and MSL priorities.
Clinical AI
Stress-tests protocol design against feasibility and burden reality.
Detects data quality and enrolment risk while the trial is running.
Ranks site performance and predicts which sites need intervention.
Tracks guidance changes and maps them to affected programmes.
Research AI
Ranks candidate targets across omics, literature and pathway evidence.
Connects in-vitro, in-vivo and tox signal into one readout.
Models portfolio trade-offs against competitive and scientific signal.
Agent readiness
We run a short readiness review that tells you honestly whether your foundation can support the agent you have in mind.