This AI enables any user to master the physics of their projects in a few hours, thanks to a coherent set of numerical simulations and deep learning techniques. Siml.ai stands out for its ability to optimize extremely fast physics simulators through an easy-to-use web application. The Model Engineer offers management of large databases derived from classical simulations or physical sensors, while enabling rapid development of model architectures suited to the desired physical constraints. The Simulation Studio, for its part, exploits these AI models to solve engineering and scientific problems, offering computational speeds higher than those of traditional GPU-based simulation software, while enabling real-time interactive visualization thanks to high-fidelity renders. This tool is thus aimed at engineers and researchers, providing them with seamless scalability on cloud or HPC infrastructures, without requiring deep technical expertise to manage these infrastructures.
This feature enables the creation and optimization of extremely fast physical simulators using deep learning techniques accessible via a web interface. Designed for engineers looking to carry out complex projects quickly without the heavy burden of cloud infrastructure management.
Uses trained AI models for an "in situ" visualization, transforming the way physical phenomena are simulated and analyzed. Offers immediate observation capabilities, essential for high-tech sectors such as engineering and scientific research.
Uses Unreal Engine for high-fidelity 3D visualization, significantly improving the visual representation of the simulated data. This feature is an asset for any entity needing superior graphical quality for representing complex simulations.
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