Novonesis rolled Benchling out to its 1,500 R&D employees to replace siloed systems with one data foundation.
Siloed data across several platforms made it hard to locate, validate and link research results. Novonesis consolidated tools into Benchling's electronic notebook, LIMS and data management platform with standardized workflows and FAIR data standards. The page reports a central place for R&D, better links between dry-lab and wet-lab teams and end-to-end traceability of products and samples; no quantitative metrics are given.
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 ↗
Related use cases
- 01Absci replaced spreadsheet sample handoffs with a Benchling registry and API integration to improve data for AI model training.
- 02Sanofi moved 1,500+ scientists in 30 global teams onto Benchling as the data foundation for AI-driven R&D.
- 03MacroGenics digitalized Research and Biopharmaceutical Development on one Benchling platform.
- 04Ori Biotech used Benchling R&D Cloud to standardize and centralize cell and gene therapy process development data.
- 05Synlogic unified its informatics in Benchling and used the API to automate fermentation data processing.
- 06Cue Biopharma used Benchling to carry discovery data through to biologics process development.