AI: The engine accelerating Miru’s path from lab to market

This post is the second in our series on how AI and automation are reshaping material innovation at Miru.

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In 2018, Miru’s Founder and CEO, Curtis Berlinguette, helped co-pioneer a self-driving lab – an autonomous R&D platform that combined robotics, automation, and machine learning to accelerate material discovery.

[Related: Read more in Globe and Mail, Science Magazine, and related concepts featured in The New York Times.]

Today, that same DNA powers Adam, Miru’s Self-Driving Lab (SDL), which is redefining the pace of electrochromic innovation and how new materials become manufacturable products.

Equipped with advanced capabilities such as spray coating, solution mixing, a reactor, device imaging, and haze measurement systems, Adam can autonomously mix, deposit, cure, and analyze coatings with precision – before instantly planning and executing the next experiment.

This process compresses months of development into days. The result: Miru can rapidly discover and optimize formulations and product testing that make our dynamic electrochromic windows (“eWindows”) ready for development and scale-up.

Adam’s data-rich workflows feed directly into Miru’s product development and engineering pipelines. Each iteration teaches the system how variables – like Ink ratios, curing temperatures and deposition speeds – affect the real-world manufacturability of Miru eWindows.

That means process improvements discovered in the lab can move seamlessly from R&D to production. Every spray pattern, curing profile, and material stack is traceable, reproducible, and optimized – a foundation for consistent quality and rapid scale-up.

As Miru advances towards our mission to deploy 10 million square feet of eWindows by 2028, this digital thread between discovery and production ensures that we can scale without compromise.

Most innovations stall between the lab and the factory floor. At Miru, AI bridges that gap.

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