Traditional CAE requires step-by-step calculations of physical equations, often taking days or weeks for large-scale analyses and necessitating significant time, cost, and specialized expertise. RICOS automates and accelerates design and simulation workflows leveraging our proprietary AI algorithm, IsoGCN and others. This significantly reduces analysis time, enables concurrent design processes across departments, and eliminates dependency on CAE specialists and conventional HPC resources.

AI-CAE Tools

Current simulations can take anywhere from a day to a week per iteration, resulting in significant computational time and costs when multiple trials are required. To enable faster, interactive design and evaluation, RICOS is developing high-speed, high-precision algorithms capable of analyzing complex geometries. Our core technology, "IsoGCN," is an AI algorithm specifically optimized for simulation data and features the following three key advantages.

Automating and accelerating CAE workflows

Performing simulations requires complex workflows—from design and CAD modeling to meshing, configuration, computation, and evaluation—demanding highly specialized expertise. RICOS develops the following core technologies and open-source software (OSS) to automate and accelerate these processes.

Concurrent development processes through predictive modeling.

Traditional CAE workflows relied heavily on dedicated specialists and external engineering service, leading to high costs, time-consuming rework, and limited design iterations. By integrating AI-CAE predictive models for rapid analysis, teams can now independently generate and share results, enabling a concurrent development process. This significantly reduces lead times and rework while substantially cutting reliance on conventional CAE software and HPC resources.