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.
An impeller voxelised and segmented into manufacturing zones — bulk, contour, up- and down-skin — the per-region plan the scan generator hands downstream.
A three-layer LPBF build solved on a graded mesh — the laser melt pool sweeping each track while fresh powder layers deposit above it.
Five representative volumes sampled across the part's thermal clusters, each solved cell by cell into a full grain structure — coloured by thermal cluster, grain size and columnar fraction.
One SS316L bracket, solved layer by layer on the cloud — the part-scale field you'd otherwise wait on a meso-scale simulation to see.
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.