
Geminus AI is pioneering real-time intelligence for complex industrial systems with its generative engineering platform. This platform is the first to automatically integrate data, physics, and computation for autonomous control of cyber-physical systems, aiming to drive a new revolution in industrial productivity and efficiency. Geminus's technology scales across large industrial systems to solve complex problems in real time. They offer solutions for industries such as Oil and Gas, Space, Defense, Semiconductors, Utilities, and Renewable Energy, focusing on enhancing production, reducing emissions, improving operational readiness, enabling precise chip design, and optimizing utility and energy management.

Geminus AI is pioneering real-time intelligence for complex industrial systems with its generative engineering platform. This platform is the first to automatically integrate data, physics, and computation for autonomous control of cyber-physical systems, aiming to drive a new revolution in industrial productivity and efficiency. Geminus's technology scales across large industrial systems to solve complex problems in real time. They offer solutions for industries such as Oil and Gas, Space, Defense, Semiconductors, Utilities, and Renewable Energy, focusing on enhancing production, reducing emissions, improving operational readiness, enabling precise chip design, and optimizing utility and energy management.
Founded: 2018
Headquarters: San Francisco, CA
Product: Physics-informed generative engineering platform for real-time intelligence and autonomous control of industrial cyber-physical systems
Industries served: Oil & Gas, Space, Defense, Semiconductors, Utilities, Renewable Energy
Latest round: Series A (announced 2024-01-10)
Reported total funding: USD 22,900,000
Real-time intelligence and autonomous control for complex industrial cyber-physical systems.
2018
DeepTech
“Darling Ventures, Intel Ignite, Lam Capital, Radiate Ventures, SK Group, SLB, Sentiero Ventures, SkyRiver Ventures, The Hive, Third Derivative”