
AtlasAI developed by AirGo Design is a cutting-edge, AI-powered simulation platform that streamlines the design and analysis of advanced injection-molded composites. We empower engineers to optimize performance with speed and precision.
AI-Driven Intelligence
AtlasAI eliminates the need for micro-level simulation by leveraging a statistically derived material property database. It intelligently adjusts fiber orientation based on structural geometry, ensuring high-fidelity predictions with less effort.

Speed Without Compromise
Get results up to 95% faster—without sacrificing accuracy. We capture multi-layer property variations through the thickness of composite parts while avoiding heavy FEM model requirements. Entirely operating in pre- and post-processing, it removes the need for co-simulation or external data exchange, delivering:
-
95% faster load times
-
90% smaller result files
-
65% lower RAM usage
Type | Accuracy | Time | Expertise | Computation | Material Data |
---|---|---|---|---|---|
Isotropic | Reliable | Minutes or Hours | Junior engineers | Low | Readily available |
Conventional Anisotropic | Requires exponentially progressive level of accuracy as design matures | Days even Weeks | Domain experts | Very high | Highly detailed testing required. Constituent material data is not always readily available. |
AtlasAI | Reliable & third-party validated | Minutes or Hours | Junior engineers | Low | Less Data required. No homogenization |
Next-Generation Failure Modeling
Built on proprietary AI-generated allowables, AtlasAI’s custom failure model goes beyond traditional criteria—enabling more accurate, reliable predictions in demanding applications.

Flexible & Compatible
AtlasAI is material- and software-agnostic. It works seamlessly with most commercial FEA platforms, supports both implicit and explicit solvers, and is compatible with any fiber-reinforced thermoplastic—regardless of chemical composition.

Proven by Industry Leaders
Validated through blind studies with both material suppliers as well as products owners, AtlasAI consistently outperformed conventional CAE tools. It delivered faster simulation workflows with predictions that more closely matched physical testing data—saving time and improving confidence in results.
