Unchained Labs, the life sciences company focused on getting researchers the right tool for the job, has launched Stuntman, a next-generation automation platform that combines native, natural-language AI with fully flexible hardware.

The platform is designed to fundamentally change how scientists interact with automation by adapting to their science and speaking their language, rather than forcing teams to adapt to rigid systems.

Stuntman enables research teams to get answers faster and iterate with less friction, allowing automation to accelerate scientific discovery instead of slowing it down.

For many researchers, automation remains more difficult than it should be. Traditional systems are often built around fixed workflows and rigid scripts, requiring scientists to translate ideas into code and manage complex configurations.

Iterating on an experiment can involve rewriting methods, reconfiguring hardware, or starting over entirely—turning automation into a bottleneck rather than a productivity booster.

Stuntman addresses these challenges by embedding an LLM-driven AI directly into the platform.

Scientists can describe their experimental goals in plain language, which the system translates into executable workflows. For teams that want deeper control, programmatic options are also available.

The AI assists with experiment planning, guides closed-loop automation, and helps interpret results, while every condition, step, and data point is captured in open, structured formats.

A fully modular deck allows teams to build the exact system they need from day one, avoiding one-size-fits-all automation setups.

“Automation should meet researchers where they work,” said Tim Harkness, Founder and CEO of Unchained Labs.

“Stuntman reduces complexity, speeds iteration, and lets teams stay focused on their science instead of wrangling their system.”

“It offers the simplicity researchers want with the power they need—while keeping AI in the loop.”