Eli Lilly

Lilly speakers at Databricks Data + AI Summit 2026 described the business and technology plan behind rolling out an AI assistant for field teams.

Partners: Databricks

Lilly's NVIDIA-built supercomputer for AI-driven research came online in early 2026 to support discovery and other scientific work.

Partners: NVIDIA

Lilly modelled the steps of a manufacturing process as a high-fidelity digital twin to find ways to raise output, according to its CIDO.

Lilly uses AI to watch product on its lines and catch defects, per its CIDO.

Lilly's CIDO named demand forecasting as one of the business areas where the company applies AI.

Lilly and NVIDIA are setting up a joint Bay Area AI lab for drug discovery, with up to $1 billion invested over five years in people, infrastructure and compute.

Partners: NVIDIA

Isomorphic Labs agreed a multi-target research deal with Lilly to find small molecules using its AI platform, with $45 million upfront and up to $1.7 billion in milestones.

Partners: Isomorphic Labs

A Lilly speaker at AWS re:Invent 2025 described a multi-agent system that lets non-technical staff query healthcare datasets in plain language, shortening data evaluation from months to weeks.

Partners: AWS

Lilly launched TuneLab, giving biotech companies access to its drug discovery AI models through a third-party hosted, federated-learning setup that protects each party's data.