Eli Lilly (LLY.N) announced on Tuesday the launch of TuneLab, an artificial intelligence and machine learning platform designed to give biotech companies access to advanced drug discovery models trained on decades of Lilly’s research data.
The platform represents more than $1 billion in proprietary data investments and aims to level the playing field by letting smaller biotech firms access the same AI-driven tools Lilly scientists use internally.
“Lilly TuneLab was created to be an equalizer so that smaller companies can access some of the same AI capabilities used every day by Lilly scientists,” said Daniel Skovronsky, Lilly’s chief scientific officer.
Two biotech firms — Circle Pharma and insitro — are already early partners. Circle will apply TuneLab’s tools to cancer drug development, while insitro will contribute new AI models for small molecule discovery, enhancing TuneLab’s capabilities.
The move reflects a broader industry shift toward AI in research and development. Analysts at Jefferies forecast that AI-related R&D spend could reach $30–40 billion by 2040, as drugmakers adopt AI for discovery, testing, and reducing reliance on animal studies, in line with FDA goals.
TuneLab operates on datasets covering hundreds of thousands of unique molecules. In exchange for access, biotech partners provide their own training data, further strengthening the platform’s predictive power and long-term value.