Metals & Composites

Predict material properties, simulate structural performance, and control process variation—faster and with less trial-and-error.

Metal and composite components often operate under extreme thermal, mechanical, and environmental stress—where failure modes are hard to predict, and process variability can undermine performance. The MIND Platform helps materials and manufacturing teams simulate structural behavior, predict fatigue and degradation, and monitor forming, curing, or machining operations with interpretable AI—enabling faster iteration, tighter quality control, and longer part life.

Material Property Prediction

Accelerate the design and validation of alloys, fiber-matrix systems, and engineered materials.

  • Predict tensile strength, fatigue resistance, or creep behavior from structure and processing data
  • Combine experimental and simulation data for faster, more accurate materials selection
  • Reduce lab testing cycles by learning from past experiments and reference datasets

Multiphysics Simulation Acceleration

Augment high-fidelity FEA and CFD with AI models that reduce turnaround time and preserve physical insight.

  • Train surrogate models on thermal, fluid, and mechanical simulations
  • Run rapid sensitivity analysis across large design or process parameter spaces
  • Enable faster iterations without sacrificing fidelity

Predictive Maintenance

Predict degradation or failure in metal and composite components based on operating conditions and field data.

  • Analyze real-world sensor signals for early signs of fatigue, delamination, or wear
  • Model time-dependent behavior under varying thermal and mechanical loads
  • Extend maintenance intervals while reducing unplanned downtime

Process Monitoring and Control

Improve production consistency and yield with real-time feedback from manufacturing processes.

  • Detect anomalies in forming, curing, or machining operations
  • Use AI-driven control to adjust parameters and prevent drift
  • Support tighter quality windows in high-variability production runs

Solving Hard Problems Starts Here.

Let’s solve yours next. From simulation bottlenecks to multiscale manufacturing complexity—tell us what you’re up against. We’ll dig in together.

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