Orbital Materials utilizes a generative AI model, LINUS, to design new materials based on desired properties, while its simulation model, Orb, accurately predicts material performance under realistic conditions. This approach significantly reduces the time and resources required for material development, addressing the lengthy trial-and-error process traditionally associated with creating advanced materials and climate technologies.
Funding
$21M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing advanced materials and climate technologies traditionally involves lengthy and expensive trial-and-error processes in the lab. This slow pace of discovery hinders the rapid deployment of new solutions needed to address critical challenges.
Solution
Orbital Materials offers an AI-driven platform that accelerates the design and development of advanced materials. Their generative AI model, LINUS, designs novel materials based on specified properties, while their simulation model, Orb, predicts material performance under realistic conditions. This integrated approach replaces traditional trial and error with rational design, significantly reducing the time and resources required to bring new materials to market. The platform facilitates the integration of these materials into end-to-end process technologies, optimizing reactor design, piping, and process flows to maximize overall chemical process performance.
Target Audience
Orbital Materials targets partners in industries such as mining, water treatment, chemistry, and gas separation, as well as organizations focused on developing advanced materials and climate technologies.
Features
- LINUS: A generative AI model that designs materials from scratch based on desired properties.
- Orb: An AI model for simulating advanced materials, enabling prediction of performance under realistic process conditions.
- End-to-end process technology integration, including optimized reactor design and process flows.
- Synthesis, testing, and scaling of materials at their R&D facility.
- Decarbonization and resilience solutions for data centers, including cooling cost reduction and CO₂ capture.
- Material design for mining, water treatment, chemistry, and gas separation applications.