Emmi AI

For developers in industrial and scientific computing, the bottleneck has always been the feedback loop between design and validation. Traditional CAE solvers take hours or days to run, stifling iterative innovation. Emmi AI directly addresses this by replacing those solvers with Large Engineering Models (LEMs) — pre-trained AI that delivers real-time, physics-accurate results. The proof is in the performance: Emmi AI claims inference speeds up to 1000x faster than legacy methods, running efficiently on a single GPU even for models with industrial complexity (up to 10,000 cells). For example, its `NeuralWing` model validates aircraft wing designs in real time, and `NeuralMould` does the same for injection molding. This collapses the boundary between CAD and CAE, allowing engineers to test ideas instantly. For teams with unique challenges, Emmi AI also offers its 'Framework,' a complete toolkit for training, fine-tuning, and deploying custom physics AI models. Backed by Mistral AI, this platform represents a fundamental shift toward real-time engineering, moving simulation from a slow, backend process to an interactive design tool.