The cloud Physics-AI platform for metal AM. Predict melt-pool, microstructure and residual stress before you print — then tune the process to build it faster.
High-fidelity physics is too slow to run over a whole part — so we learn it once, then predict in minutes.
Melt-pool thermal history and solidification microstructure — the ground truth.
Thousands of runs swept across the process window, fit to a Physics-AI model.
Residual stress and distortion across the whole part — no meso-scale solve in the loop.
Search the process window to cut stress and distortion while holding build rate.
Each stage consumes the contract the stage before it emits. No manual handoff, no re-exporting between tools.
What changes when the whole chain lives in one cloud platform and the expensive physics is learned up front.
Flight-critical parts, qualified before the build.
One-off titanium implants, right without trial prints.
Pre-compensated distortion in conformal-cooling tools.
Integrity confirmed under extreme thermal load.
Import CAD, define the LPBF strategy with surface-based selection.
Scan path and simulation domain built on elastic infrastructure.
Solve, then explore defect maps and qualification results online.
Beyond additive — general solid mechanics on the same cloud: finite elements, physics-informed neural networks and peridynamics.
Predict melt-pool, microstructure, residual stress and defect risk before you commit powder and machine time.