Orbital Materials

About Orbital Materials

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.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Orbital Materials do?

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.

Where is Orbital Materials located?

Orbital Materials is based in London, United Kingdom.

When was Orbital Materials founded?

Orbital Materials was founded in 2022.

How much funding has Orbital Materials raised?

Orbital Materials has raised 21000000.

Who founded Orbital Materials?

Orbital Materials was founded by Jonathan Godwin.

  • Jonathan Godwin - CEO
Location
London, United Kingdom
Founded
2022
Funding
21000000
Employees
25 employees
Looking for specific startups?
Try our free semantic startup search

Orbital Materials

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

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.

orbitalmaterials.com3K+
Founded 2022 – London, United Kingdom

Funding

$

Estimated Funding

$21M+

Team (25+)

Jonathan Godwin

CEO

Company Description

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.

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.

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.