Sanofi moved 1,500+ scientists in 30 global teams onto Benchling as the data foundation for AI-driven R&D.
Legacy R&D systems hindered data standardization and collaboration across Sanofi's global teams and limited its ability to use AI. Sanofi centralized scientific data management on Benchling's R&D Cloud, with a workflow from sequence registration through experiment execution that feeds ML teams. The page reports 1,500+ scientists across 30 teams on the platform, research processes accelerated from weeks to hours, and real-time visibility into standardized data.
Benchling is a cloud R&D platform used by biotech and pharma for electronic notebooks, sample registry and structured scientific data.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Benchling on its own site — read the original case study on benchling.com ↗
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