SimulationAI -- AI-Enabled Software Solution for Physics-Based Simulations

By adopting our AI-driven solution, engineering teams can achieve more in less time, push the boundaries of innovation, and significantly cut down costs, all while maintaining or increasing the reliability and accuracy of their structural and material analysis. This is not just an evolution in FEM technology—it's a revolution.

The Need

In an era where precision and efficiency drive the success of engineering projects, the finite element method (FEM) remains indispensable but is burdened by high operational and computational costs. These costs often lead to overlooked uncertainty factors, suboptimal designs, and significant financial overheads. Especially prevalent in industries such as automotive and aerospace, the need for modernizing the foundational algorithms of FEM software is clear—to reduce complexity and expense while enhancing reliability and performance.

The Technology

Our AI-based software solution leverages a proprietary algorithm that transforms the traditional FEM approach by fully automating the modeling process. Capable of handling arbitrary geometry and different loading conditions, this technology significantly reduces the time required for simulations. It stands out by requiring no retraining for new geometries, loading conditions, or material properties. The software can directly model from imaging data, streamlining the transition from concept to simulation. Overall, it offers a faster, more adaptable, and cost-effective alternative to traditional FEM software.

Commercial Applications

  • Aerospace Engineering: Design and testing of aircraft components under various operational stresses.
  • Automotive Industry: Simulation and enhancement of vehicle structural integrity and part performance.
  • Defense: Development of robust military hardware that can withstand diverse environmental and combat-related loads.
  • Material Science: Innovation in material design through rapid and accurate testing of new material properties under assorted conditions.
  • Academic Research: Facilitating cutting-edge research in structural analysis and materials engineering with high accuracy and lower costs.


  • Reduced Operational Costs: At least a twofold decrease in the time and complexity involved in setting up models.
  • Lower Computational Costs: Drastically cuts down the resources and time needed for simulations by at least half.
  • Enhanced Adaptability: Applicable to any geometric or loading condition without the need for algorithm retraining.
  • Automation: No need for manual meshing, reducing the dependency on highly specialized technical skills.
  • Accuracy and Speed: Maintains numerical validation of simulation accuracy while delivering results faster.

Patent Protection

  • PCT/US2024/024050

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