Analytics & AI products · AutoML
Production pharma models in weeks, not months.
AutoML automates the full model lifecycle for pharma data, from ingesting claims and CRM to pharma-specific features, training, deployment and explanation. It is the engine behind enrichment, targeting and next best action.
Impact
2–4 weeksper production model, from 12–16
3.6× / 11×faster / cheaper than the incumbent
Faster
First production model in weeks; iterations in days.
Cheaper
Chosen over an incumbent in a client-run head-to-head.
Governed and explainable
Every experiment tracked; drivers shown for every output.
How it works
From input to output in 4 steps.
Weeks to a production-ready model
Hand-built
12–16 weeks
AutoML
2–4 weeks
- 1IngestClaims, CRM and EHR, unified
- 2Engineer featuresHundreds of pharma-specific features
- 3Train and tuneModel search, tracked and reproducible
- 4Deploy and explainProduction-ready, with drivers
Capabilities
What's inside
Domain-tuned featuresPatient journey and doctor engagement patterns out of the box.
Explainable outputThe drivers behind every prediction.
Patient-level modelsEligibility, progression, retention and switching.
Doctor-level modelsPotential, adoption and switching risk.
Enrichment modelsMissing events and biomarker status.
Effortless deploymentFrom experiment to production without refactoring.
Deployed across
OncologyBreastLungCLLBiologicsAsthmaRare diseaseCardiovascularRenal & metabolic