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
The Small Data Problem in Scientific Research

Data sits at the center of modern scientific research and serves as the foundation of discovery and differentiation....
The R&D Leader's Playbook for Agentic AI Success

This article references topics presented by Michael Connell, EdD during our recent webinar, Making Sense of Agentic AI:...
Concurrent Materials Design, Accelerated by AI

This article references topics presented by Dr. Michael Heiber at Enthought’s 2025 R&D Innovation Summit in Tokyo. Link...

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