Whereas everyone is making an attempt to determine how synthetic intelligence will be leveraged throughout numerous industries, French startup Osium AI has discovered an fascinating use case for AI — analysis and growth in supplies science.
Based by Sarah Najmark and Luisa Bouneder, the startup raised a $2.6 million seed spherical from Y Combinator, Singular, Kima Ventures, Collaborative Fund, Increase Phiture and several other enterprise angels (Julien Chaumond, Thomas Clozel, Isaac Oates, Liz Wessel, Ebert Hera Group, Patrick Joubert, Sequoia Scout and Atomico Angel).
“Throughout my undergrad, I had completed analysis on supplies, significantly within the discipline of cosmetics. And I had seen that supplies growth methodologies had been nonetheless very handbook, with a variety of trial and error and lots of strategies relying primarily on instinct,” Najmark advised me.
After graduating, she joined Google X, the moonshot division of the enormous tech firm, and spent three years engaged on robotics and deep tech applied sciences. She additionally co-authored some patents.
“I used to be tech lead, so I actually had possession over end-to-end synthetic intelligence pipelines on robotics and system engineering topics,” she mentioned.
Her co-founder, Luisa Bouneder, spent three years engaged on knowledge merchandise for industrial firms, and within the supplies discipline particularly. She additionally observed firsthand that there was a variety of trial and error that was slowing down the event course of.
“In discussions with many industrial firms, we additionally realized that there have been actually new challenges linked to sustainability, with the event of recent supplies: lighter supplies — supplies for aeronautics, for instance — but additionally extra sturdy, environment-friendly supplies, with optimized and greener manufacturing processes,” Najmark mentioned.
“It’s a topic that actually impacts all sorts of industries, together with development, packaging, aeronautics, aerospace, textiles and smartphones,” she added later within the dialog.
So how does Osium AI really work? It’s all about optimizing the suggestions loop between supplies formulation and testing utilizing a data-driven strategy. With the startup’s proprietary tech, industrial firms can predict the bodily properties of recent supplies based mostly on a listing of standards. After that, Osium AI also can assist refine and optimize these new supplies whereas avoiding widespread errors concerned with trial and error.
A number of industrial firms are already making an attempt out Osium AI’s resolution, they usually see the potential. “Our customers noticed that our resolution might allow them to speed up each the event and evaluation of supplies by an element of 10. So proper from the beginning of our testing, we noticed that we had been bringing worth,” Najmark mentioned.
In some ways, Osium AI is simply getting began. There are solely two folks working for the corporate (the 2 co-founders), so the startup will quickly ramp up its staff and begin turning these first contracts into actual enterprise. The corporate is already speaking with 30 industrial firms that might probably develop into shoppers.