Build your first Science Foundry AI Workshop

A team of three can now have the productive capacity of 30, but only if scientists and agents work as one team. A Science Foundry makes that possible. You pick a process, such as lead optimization or assay development, and set which steps agents run and when scientists approve. The agents execute the work, coordinate handoffs, and bring key decisions to you.

Join Nicholas Larus-Stone, Head of AI at Benchling, for a live demo and a look at how teams are using Foundries across R&D. Bring your questions.

You will learn:

• How to build a Science Foundry.
• Best practices for deciding when agents need a scientist’s approval.
• How teams are using Foundries to cut the whitespace between experiments.

Speakers

Nicholas Larus-Stone, Head of AI, Benchling
Nicholas leads Benchling’s AI team, building the agents and models that help R&D teams accelerate their workflows. He founded Sphinx Bio, an AI drug discovery startup, and Bits in Bio, a community that brings scientists and tech entrepreneurs together.

Clare Young, Benchling, Product Manager of AI

Clare leads the development of AI agents at Benchling, from the first agents that could research and draft to the ones that now work collaboratively across a full R&D program. With a decade of experience in the R&D space, she has helped global biopharma organizations bring new technology into their workflow