Industry Expertise

Life Sciences

With the race to develop novel therapies and the growing complexity of biologics, pharma and biotech R&D faces mounting pressure to accelerate discovery, streamline development, and deliver life-changing treatments to patients faster than ever.

AI-Driven Drug Discovery & Development

Traditionally, the process of developing new drugs has been complex, costly, and slow, with the average time of getting a new drug from discovery to market being 12+ years. Life sciences companies are now investing heavily in artificial intelligence—and for good reason. Pharmaceutical and biotech R&D labs that leverage AI and machine learning are accelerating discovery and getting to clinical trials faster. However, many companies today are still entrenched in traditional methods of scientific research. Enthought helps pharmaceutical companies and CROs of all sizes harness the power of AI to expedite drug discovery and development, all centered around their unique IP. 
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Insights & Resources
More Resources
Agentic AI Is Ready to Solve Scientific R&D's Hard Problems

The conversation around AI in scientific R&D has shifted dramatically in a short period of time. Fields like chemistry,...
Building Toward Materials by Design in R&D

This content was originally discussed in the webinar, A Technical Framework for Materials by Design in Enterprise R&D....
How Predictive AI Works As An ROI Engine For R&D

This article was originally published on Forbes. By Michael Connell, EdD | Chief Operating Officer, Enthought Inc. The...

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