Lilly Introduces AI Platform TuneLab for Biotech Drug Discovery

September 09, 2025
Eli Lilly and Company has launched Lilly TuneLab, an AI platform offering biotech firms access to advanced drug discovery models, leveraging over $1 billion in research data.

Lilly has launched Lilly TuneLab, an AI and machine learning platform designed to provide biotechnology companies with access to advanced drug discovery models. Announced in a press release, the platform utilizes proprietary data accumulated through over $1 billion in research investment.

Lilly TuneLab aims to democratize access to AI capabilities by allowing smaller biotech firms to use the same models employed by Lilly scientists. The platform is powered by comprehensive datasets covering drug disposition, safety, and preclinical data from hundreds of thousands of unique molecules. It employs federated learning to ensure privacy, enabling biotech partners to contribute training data without exposing proprietary information.

This initiative is part of Lilly Catalyze360, which supports early-stage drug development through strategic capital, laboratory facilities, and drug development expertise. Lilly plans to expand TuneLab's features, including adding predictive models for small molecules, exclusively available on the platform.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more