AI case study

GenentechDrug discovery research

Scientists spent weeks manually searching 38 million files. Agents now finish in minutes, saving 43,000 hours.

Published

Key results

Manual Effort Automated
43k+ hours

Result highlights

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The story

Context

A biotechnology leader navigates a search space of 10^60 potential small molecules while analyzing 38 million biomedical publications and internal repositories of hundreds of millions of cells.

Challenge

Scientists spent weeks manually searching these scattered sources to identify drug targets and validate biomarkers. This inefficient process consumed...

Solution
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Quotes

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The company

Genentech logo

Genentech

gene.com

Biotechnology company developing medicines for life-threatening diseases.

IndustryPharmaceuticals & Biotech
LocationSouth San Francisco, CA, USA
Employees10K-50K
Founded1976

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Genentech's Drug discovery research is part of this use case:

Scientific Discovery
23 case studies(+30% YoY)
Proven impact?
LowModerateVery Strong
4.7Moderate
5.0Strongwithin Pharmaceuticals & Biotech
4.5Moderatewithin Product Engineering

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