Backed by Europe's leading deep tech investors

The Future of Simulation: Large Engineering Models

Large Engineering Models are pre-trained engineering intelligence that replace solvers, work everywhere, and deliver instant physics-accurate results for entire verticals.

Real-time engineering is here.

Powering innovation at leading research labs, Fortune 500 companies, and simulation platforms worldwide.

All our models are built on unified principles, allowing parallelization across verticals: shared modeling assumptions, standardized software architecture, and consistent approaches to data handling, generation, and storage.

The Real-Time Engineering Advantage

Efficiency

1 GPU

For Training and Inference
SCALE

10000 Cells

For True Industrial Complexity
SPEED

1000x

For Real-Time Inference
Framework

Build Physics AI, not workarounds

The complete toolkit for training, fine-tuning, and deploying physics AI models at industrial scale. From data loading to inference optimization. Everything you need to build real-time engineering applications.

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Datasets

Engineering Data that's validated

Physics-validated datasets spanning industrial problems. Pre-processed, quality-assured, and ready for model training. The same data that powers our reference models.

LARGE ENGINEERING MODELS

Skip months of training

Production ready models for specific engineering use cases. Deploy immediately for instant results or fine-tune with your data for task specific optimization.

Latest updates

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May 14, 2025

Getting Started with AI Models for Physical Simulation

Explore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.

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May 14, 2025

Getting Started with AI Models for Physical Simulation

Explore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.

Read article
May 14, 2025

Getting Started with AI Models for Physical Simulation

Explore how AI-powered models are transforming physics simulations—from thermodynamics to fluid dynamics—and learn how to get started building or integrating your own models.

Read article
October 21, 2025

AB-UPT Sets New Benchmarks Across Major CFD Datasets

Emmi AI now leads performance across the industry’s key public CFD datasets - DrivAerML, DrivAerNet++, AhmedML, SHIFT-SUV, and SHIFT-Wing, often by wide margins. A new Technical Report details AB-UPT’s performance on Luminary Cloud’s SHIFT datasets for automotive and aerospace applications.

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September 3, 2025

NeuralDEM, Now Open Source: Real-Time Deep Learning for Industrial Particulate Flows

NeuralDEM introduced in November 2024 as the first end to end deep learning alternative to CFD–DEM multiphysics simulations, is now open source. The dataset and model enable real-time, physically consistent simulation of industrial particulate flows at production scale.

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June 23, 2025

Emmi AI releases AB-UPT: Scaling Neural Surrogates to 100M+ Mesh Cells

Emmi AI presents AB-UPT, a novel architecture that scales neural surrogates for computational fluid dynamics (CFD) to industrial-scale problems with over 100 million mesh cells - achieving state of the art accuracy, mesh free inference, and physics consistent predictions.

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Engineering Without Limits

What if design and validation happened simultaneously? What if every idea could be tested instantly? We're collapsing the boundary between CAD and CAE, turning imagination into validated engineering in real-time.

From aerospace to semiconductors, from energy to manufacturing, we're eliminating the gap between design and truth. The future isn't coming.

We're building it now!