Produced by C&EN Webinars

Fast Track Closed-Loop Experimentation with AI-Driven Automation on Stuntman

DATE

September 15, 2026

TIME

08:00 a.m. PT | 11:00 a.m. ET | 4:00 p.m. UK

Overview

The Problem

Closed-loop experimentation has the potential to dramatically accelerate scientific discovery, but building the infrastructure to connect automation, analytics and scientific decision-making can be a major undertaking. Researchers often spend valuable time integrating software, moving data between systems and developing custom workflows instead of advancing their science.

The Solution

Stuntman provides an AI-ready, flexible framework for continuous experimentation. Built-in integration between automation and analytical tools streamlines sample transfer and data flow, eliminating much of the infrastructure required to build closed-loop workflows. Whether using Stuntman's built-in AI or connecting your own optimization and decision making tools, its open architecture gives researchers the freedom to tailor workflows to their own applications, instruments and scientific approaches.

The Proof

Join this webinar to see how Stuntman keeps discovery moving with automated execution and seamless integration to analytical tools. Watch Stuntman in action and learn how its flexible framework can be adapted to support AI-driven scientific workflows across chemistry, biologics, materials science and more.

Sponsored by:

Speakers

Rick Sidler, PhD
Director of Field Automation Scientists,
Unchained Labs

Rick Sidler is the Director of Field Automation Scientists at Unchained Labs. He enjoys working with scientists to design systems and workflows, and to provide user training and support. Prior to joining Unchained Labs, Rick spent more than 20 years in the Process Research department at Merck Research Labs, where he was a user of Symyx and Freeslate automated workflows for 12 years. He holds B.S. and Ph.D. degrees in Chemistry.

Alexandra Taylor
Contributing Editor,
ACS Media Group

Registration

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