Calejo’s patent that concerns the unique AI engine for modeling and Reinforcement Learning has now also been approved in Japan. The patented technology allows flexible, scalable process optimization and efficient interaction between people, data and AI.

The patent refers to industrial and technical modeling and optimization for both industrial and technical processes.

- The technology is based on a unique combination of key features to provide great synergy effects in terms of computational efficiency and feasibility of implementation for large-scale modeling of complex industrial and technical processes, says inventor Leonard Johard, AIO at Calejo Hybrid Intelligence.

Calejo's unique solution enables modeling of millions of parameters simultaneously. The improved computational efficiency and scaling to which the invention contributes make it possible to simulate very complex technical and industrial processes, something which has not previously been possible at all.

Waiting for global approvals

Beside approved Japanese and Russian patents, Calejo has earlier also made other international patent applications.

- We have applied for several international patent filings in China, Europe, USA, Canada and Brazil, as well as a special Flow application, and are now waiting for the final decisions from all of these, says Leonard Johard.

Calejo’s patent portfolio ¤ Acausal differentiable simulators with neural networks (1 family 12 patents). ¤ Neural network integration in stiff systems (1 family, PCT stage). ¤ Water-based systems (1 family, PCT stage). ¤ Another 5 patents families (50 - 100 patents) achievable based on current trade secrets.