Save Time, Improve Quality | Saama - #1 in AI Clinical Analytics

A top-10 pharmaceutical company wanted to speed up transforming raw clinical data into CDISC SDTM standard format for regulatory submissions without sacrificing quality, to reduce mapping timelines and speed time-to-market across its portfolio. It implemented Saama's Source to Submission (S2S) solution for SDTM data transformation. Stated results: a 25% time savings in data-mapping activities per study, 70% auto-mapping accuracy out of the box using Saama's AI models, and SDTM data transformations completed in 3 weeks.

The customer is anonymised in Saama’s own case study — not withheld by us.

Saama is an AI platform for clinical data management — automated data-query generation, data-quality scoring and raw-to-SDTM transformation used during live trial conduct.

This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.