Unchained Labs launched Stuntman during the SLAS meeting in Boston: an automation platform that combines native, natural-language AI with flexible hardware.
The Pleasanton, CA-based company notes that its new platform—with natural-language AI embedded directly into the system—helps researchers not only plan and design smarter experiments, but also adapt as conditions change.
“Some other automation platforms are about moving things around, partitioning things, dispensing things, handing them off to something else,” notes Taegen Clary, CCO at Unchained. “Our system is set up for working through chemical processes, biological processes—starting from initial components to making new things: new formulations, new drugs, new substances.”
For many researchers, automation still feels harder than it should, the company notes. Iterating on an experiment can mean rewriting methods, reconfiguring hardware, or starting over entirely—turning automation into something that slows science down instead of speeding it up.
Unchained is hoping to solve this problem with Stuntman, designed with an LLM-driven AI embedded directly into the platform so that scientists can describe what they want to do in plain language and turn those prompts into executable workflows—or dive deeper with programmatic control when they want it.
The AI helps plan experiments, guide closed-loop automation, and interpret results, while every condition, step, and data point is captured in open, structured formats. Its fully modular deck lets teams build the system they actually want. The natural language AI is not compatible with Unchained’s existing automation platforms—Big Kahuna, Junior, or Big Tuna.
With Stuntman, notes Will Lachnit, PhD, SVP of corporate development at Unchained, a casual user can just walk up and speak to it, or write to it in plain English, to create an experimental design, test and validate those protocols, execute on them, and perform the analysis.
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