Noether Framework: Industry-Grade Deep Learning for Engineering AI, Now Open Source
Emmi AI releases Noether, the open source deep learning framework for engineering AI. Built on modern transformer building blocks to deliver the full engineering stack, Noether allows research and engineering teams to build, train, and apply industrial simulation models across engineering verticals without component re-engineering or an in-house deep learning team.
Why now?
Engineering AI is moving fast, but most teams still assemble brittle workflows from scratch (data → training → evaluation → apply). Noether is designed to make these workflows repeatable, extensible, and production-oriented.Noether delivers a complete training and experimentation framework for engineering workloads. From CFD meshes to volumetric data, training is both reproducible and performance-tuned with ready-to-use model architectures.
Commitment to open source
Commitment to open source is a strategy. It encourages adoption and trust, and allows our team to see where it works most effectively, and where to iterate where improvement is needed. Emmi AI is committed to building production-oriented software foundations for engineering AI, in the open.
Built in Europe and supported globally
Global credibility in physics and engineering AI is earned by releasing software foundations that others can run, inspect, and improve. Noether turns European capability into something reusable for teams everywhere.The Noether Framework is supported by groups at Johannes Kepler Universität Linz (JKU), ETH Zürich, University of Washington, Sorbonne Université, University of Pennsylvania, Technische Universität München (TUM), and platform partners including Luminary, Rescale, and Simscale.
License and usage
Noether is released under the Emmi Open Research License: free for research and piloting; commercial use requires a license.
Resources
Code (GitHub): https://github.com/Emmi-AI/noether
Documentation: https://noether-docs.emmi.ai/
Overview: https://www.emmi.ai/noether-framework
Explore the Noether Framework
Latest updates
Emmi AI raises EUR 15M to bring AI to the heart of industrial engineering
Funding from 3VC, Speedinvest, Serena, and PUSH marks the largest seed round ever raised by an Austrian startup and accelerates Emmi AI’s vision for AI-enabled engineering.
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.
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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