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While everybody is trying to figure out how stilted intelligence can be leveraged across various industriousness , French startupOsium AIhas found an interesting usance lawsuit for AI — inquiry and development in materials science .
base by Sarah Najmark and Luisa Bouneder , the startup raised a $ 2.6 million seed round from Y Combinator , Singular , Kima Ventures , Collaborative Fund , Raise Phiture and several business Angel ( Julien Chaumond , Thomas Clozel , Isaac Oates , Liz Wessel , Ebert Hera Group , Patrick Joubert , Sequoia Scout and Atomico Angel ) .
“ During my undergraduate , I had done enquiry on materials , particularly in the field of cosmetics . And I had find out that materials growing methodology were still very manual , with a lot of trial and misplay and many method acting bank chiefly on intuition , ” Najmark told me .
After graduating , she joined Google X , the moonshot division of the jumbo tech company , and spent three years puzzle out on robotics and inscrutable tech technology . She also co - authored some patents .
“ I was tech track , so I really had possession over last - to - end artificial news pipelines on robotics and organisation engineering national , ” she said .
Her co - laminitis , Luisa Bouneder , spent three years work on on information products for industrial society , and in the material field in particular . She also noticed firsthand that there was a bunch of trial and fault that was slowing down the development physical process .
“ In give-and-take with many industrial companies , we also realized that there were really young challenges link up to sustainability , with the development of new materials : light materials — stuff for astronautics , for model — but also more durable , environment - favorable materials , with optimized and greener fabrication processes , ” Najmark say .
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“ It ’s a subject that really impress all types of manufacture , including construction , packaging , aeronautics , aerospace , textiles and smartphones , ” she added later in the conversation .
So how does Osium AI actually ferment ? It ’s all about optimizing the feedback cringle between material formulation and examination using a data - driven coming . With the inauguration ’s proprietary tech , industrial companies can predict the physical property of new material based on a listing of touchstone . After that , Osium AI can also avail refine and optimize those young materials while avoiding common mistakes involve with trial and error .
Several industrial company are already trying out Osium AI ’s solution , and they see the potential . “ Our users saw that our root could enable them to speed both the development and depth psychology of material by a broker of 10 . So justly from the start of our examination , we catch that we were add value , ” Najmark said .
In many slipway , Osium AI is just getting started . There are only two people working for the society ( the two co - father ) , so the startup will soon ramp up its team and start plow these first contracts into real business concern . The company is already talk with 30 industrial company that could potentially become client .
