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BenchSci & Google Cloud Forge AI Research Future
26 Aug
Summary
- EMET platform will leverage Google Cloud infrastructure.
- Combines BenchSci's knowledge graph with Google's AI models.
- Aims to reduce drug failure rates in clinical trials.

BenchSci has established a strategic, multi-year initiative with Google Cloud to host its EMET agentic research environment. This collaboration aims to revolutionize preclinical drug discovery by providing a unified platform for pharmaceutical scientists.
EMET will integrate BenchSci's extensive biological knowledge graph, which includes 858 million nodes and 2.2 billion relationship edges, with Google's cutting-edge life sciences AI models. These models include AlphaGenome and AlphaFold 3, offering access within a single environment purpose-built for R&D.
This initiative addresses a critical gap in biological research, where data fragmentation leads to significant inefficiencies and high drug failure rates. By unifying data, models, and scientific reasoning, EMET seeks to empower scientists and improve the success of drug development before clinical trials commence.