While everyone is attempting to determine how artificial intelligence may be used in various sectors, Osium AI, a French firm, has discovered an intriguing use for AI: materials science research and development.
Sarah Najmark and Luisa Bouneder founded the startup, which received $2.6 million in funding from Y Combinator, Singular, Kima Ventures, Collaborative Fund, Raise Phiture, and numerous business angels (Julien Chaumond, Thomas Clozel, Isaac Oates, Liz Wessel, Ebert Hera Group, Patrick Joubert, Sequoia Scout, and Atomico Angel).
I studied materials during my undergraduate studies, especially in cosmetics. Additionally, Sarah Najmark informed me that she had seen that materials development procedures were still primarily manual, including a great deal of trial and error and intuition-based methods.
After graduation, she worked on robots and profound tech innovations for three years at Google X, the company’s moonshot branch. She co-wrote many patents.
As the tech lead, she claimed complete control over the artificial intelligence pipelines for robotics and system engineering courses.
Luisa Bouneder, her co-founder, worked for industrial corporations for three years, namely in the materials industry, developing data products. She could also clearly see how much trial and error slowed the development process.
“We also realized, through talks with numerous industrial companies, that there were really new challenges associated with sustainability, stemming from the development of new materials: lighter materials, such as those used in aeronautics, but also more durable, environmentally friendly materials with more efficient and environmentally friendly manufacturing processes,” Najmark stated.
Later in the discussion, she said, “It’s a subject that really affects all types of industries, including construction, packaging, aeronautics, aerospace, textiles, and smartphones.”
So, what is the actual mechanism of Osium AI? The key is to use a data-driven strategy to optimize the feedback loop between material formulation and testing. Based on a set of parameters, industrial enterprises may use the startup’s unique technology to anticipate the physical qualities of novel materials. Following that, Osium AI may assist in improving and optimizing those novel materials while steering clear of the typical errors associated with trial and error.
The potential of Osium AI’s technology has previously impressed numerous business organizations. With our solution, our users could ten-fold the material development and analysis rate. Thus, we could see that we were adding value as soon as we began our testing, according to Najmark.
Osium AI is only getting started in many respects. The two co-founders are the sole employees of the startup, so it will soon grow its crew and begin converting these industrial tests into an actual business. However, several businesses have already signed contracts, and the business is now in talks with thirty industrial businesses that may become clients.