𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Liz Corbin and Alysia Garmulewicz, co-CEOs of UK-based Materiom, share how Google Cloud is helping the open-source platform accelerate the creation of waste-free, regenerative materials using generative AI. With help from Google Cloud, Materiom is providing a vast network of scientists, materials entrepreneurs, and consumer brands with access to data and AI tools that help expedite the research and development of novel alternatives to harmful petrochemical plastics.
𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Believing that open access to information is key to progress, Materiom has established the world’s largest publicly-available database of biomaterials recipes. Materiom was looking for a way to combine its database with the power of gen AI to speed up the discovery and development of new bio-based materials.
𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: With Vertex AI and Gemini, Materiom developed an innovative gen AI-powered tool that enables anyone, anywhere to identify and develop high-performing, compostable alternatives to conventional plastics in months instead of years. With Gemini’s multimodal capabilities, Materiom’s new gen AI tool can easily synthesize years of scientific data contained within its database — including text, images, graphs, tables, and more — making it easier to leverage cutting-edge materials research and generate materials recipes.
𝗥𝗲𝘀𝘂𝗹𝘁𝘀: The gen AI tool is supporting Materiom’s community in discovering and developing new materials that can replace harmful petrochemical plastics, paving the way for a more sustainable future in packaging, textiles, and construction. By 2040, Materiom hopes to help transform single-use packaging and petroleum-based textiles into fully bio-based, compostable products, contributing to a future where plastics truly become food for the planet.
Key takeaways and highlights from our interview with Liz Corbin and Alysia Garmulewicz, co-CEOs of Materiom:
→ “AI helps Materiom to support entrepreneurs in developing sustainable materials 10 times faster. We use AI to create plastics that are plant food. What used to take years to develop a new material using trial and error in the lab will now take only months using Google Cloud AI.”
→ “The way we make and consume materials accounts for about 45% of greenhouse gas emissions globally, and we have been developing petrochemical solutions for about a hundred years. We do not have that kind of time given the climate crisis that we’re in, so we’re really trying to expedite the development of novel, sustainable materials and we need gen AI’s help to do that as best as possible.”
→ “By using the Gemini Vertex API, we are able to use these multimodal capabilities which allow us to ingest information into our model — not only text, but also from graphics, from images, as well as tables. And this is the kind of really holistic information that's necessary to expedite the material discovery and development process.”
→ “Without AI developing sustainable materials and that mission that we have, we really run the risk of being outpaced by the climate crisis that we find ourselves in.”
𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘂𝘀𝗲𝗱: Vertex AI, Gemini API, Cloud Run, Cloud Storage, Compute Engine, Google SQL
𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: AI For Social Good ebook https://goo.gle/gen-ai-for-social-good
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