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🚀 Osium AI - AI for advanced and sustainable materials discovery

We speed up advanced and sustainable materials innovation thanks to AI.

Hello everyone,

We are Sarah Najmark (left) and Luisa Bouneder (right), the founders of Osium AI, and close friends from Stanford University.

Our AI-powered software enables materials R&D engineers to formulate and analyze materials much faster.

Problem

To date, materials manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process - at least 5 years are spent just formulating and testing in the R&D lab. Yet, the paradigm shift towards carbon neutrality by 2050 puts more and more pressure on advanced materials innovation.

Solution

We develop state-of-the-art AI technologies for materials properties predictions, inverse design of materials, and accelerated microscopy image analysis. Our product is an AI-powered software with an intuitive interface making it easy-to-use by any material R&D engineer with no data science background.

Our team

We leverage our unique combination of expertise in Materials Science and Artificial Intelligence.

We led AI research at Stanford and Google [X], authored 2 AI patents, and we have a track record in building AI products for Materials Industry leaders.

Our ask

  • Follow us on Linkedin.
  • Are you willing to accelerate your materials innovation? Book a demo here.
  • Do you know someone working in materials manufacturing or chemistry companies? Reach out to us at founders@osium.ai.