Calicat uses AI alongside proprietary physical testing methods (CDE) to discover and test low-cost electrocatalysts, accelerating the material development process by orders of magnitude vs incumbent approaches.

What started at Caltech as a purely physical system with a bias towards activity is now a sophisticated multivariate process that starts and ends with our proprietary AI model. By feeding years of hard-earned data into our model, we’ve grown its effectiveness and integrated its insights into our practice. Calicat’s AI is now 70% accurate at predicting not only activity but durability and permanence as well. From guiding the elemental thrust of joint development agreements with our commercial partners to directing promising internal research, our AI isn’t window dressing – it’s core to how we do business.

LEARN MORE ABOUT HOW WE DISCOVER AND TEST NEW CATALYSTS HERE

The catalysts that are predicted by our AI, tested in our CDE, and synthesized by our chemistry team are having real impact downrange. We partner with industry leaders to apply these novel catalysts to hydrogen electrolyzer systems – enhancing their performance, durability, safety, and inherent economics. With our unique intellectual property and extensive electrocatalyst activity database, we are breaking down fundamental barriers to low-cost green hydrogen production.

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