Basecamp Research and P&G partnered to design cold-water laundry enzymes with AI.
Cold-water washing needs enzymes that work at low temperatures to cut the energy used to heat water. Basecamp uses biodiversity data from cold-environment organisms and its AI enzyme design technology to create new enzymes for P&G. The article gives no performance metrics.
Basecamp Research is a London and Boston biology AI company that trains EDEN foundation models on proprietary evolutionary genomic data for therapeutic and enzyme design.
This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.
Published by Basecamp Research on its own site — read the original case study on textileworld.com ↗
Note: Page is a trade-press article, not Basecamp's own site, and the use case is consumer goods rather than pharma.
Related use cases
- 01Basecamp Research built a genomic data pipeline on Azure to train its EDEN foundation models.
- 02Basecamp Research raised $140M and set out an EDEN-designed therapeutic pipeline.
- 03Novo Nordisk Transforms Clinical Trials With AI
- 04How Regeneron is discovering new treatments with AI
- 05How AI is changing drug discovery
- 06Bayer transforms global data management with Databricks