We replace slow, trial-and-error physical prototyping and computationally heavy CFD with rapid, AI-driven design exploration. Discover highly optimized geometries in a fraction of the traditional time.
Traditional R&D limits you to testing only a handful of designs. Our AI workflow opens the entire design space.
Realistic expectations for integrating surrogate modeling into your design cycle.
Number of geometric variations evaluated per R&D sprint.
*Traditional CFD limits variations due to mesh/compute time. AI models infer performance instantly across vast design spaces.
Average time spent iterating before manufacturing a prototype.
*Onyx workflow requires an upfront investment in data setup and training, but drastically cuts the continuous trial-and-error phase, reserving CFD only for final sign-off.
Comprehensive services to transition your team into the era of data-driven design.
We replace slow physics simulations with Predictive AI Models. Instantly predict performance and rapidly optimize complex geometries for thermal efficiency, flow rates, and acoustics.
Your past testing and simulation data is a goldmine. We clean, organize, and transform dormant archives into active datasets used to train your custom AI models.
End-to-end Computational Fluid Dynamics services. We provide high-fidelity meshing and analysis to validate the AI's final design before you cut tooling.
We assess your current workflows, identify precise ROI opportunities, and build a roadmap to sustainably integrate predictive engineering into your R&D pipeline.
Our predictive models excel anywhere fluid flow, heat transfer, or aerodynamics dictate product performance.
Blade shape optimization for fans, minimizing acoustic noise, and maximizing heat exchanger efficiency.
Drag reduction profiling, battery thermal management, and brake cooling duct optimization.
Internal flow path smoothing for pumps, pressure drop reduction, and heavy-duty thermal enclosures.
Hydrodynamic hull optimization, prop design, and wind turbine blade aerodynamic efficiency.
We don't push massive, rigid software integrations. To demonstrate accuracy and speed with minimal risk, select one challenging component (e.g., a radiator fin or pump impeller). We will optimize it and prove the value.