Build, train, and deploy custom CFD AI models
Our deep learning framework gives you everything you need to design pipelines, train CFD-focused models from scratch, or plug in models from our curated library — all optimized for performance on a single GPU or distributed cluster.
Streamlined Data Management - Tailored for CFD Workflows
Our comprehensive data management package is designed specifically for computational fluid dynamics (CFD), offering robust tools for organizing, processing, and serving simulation data. We enable efficient and scalable data handling for AI-driven physics applications. Datasets access via storage provider of choice: HuggingFace, AWS S3, etc.
Scalable AI Training Framework
A fully configurable training framework built for large-scale physics and ML models. Supports distributed GPU clusters, mixed precision, and dynamic scheduling — all with easy-to-read YAML configs. From CFD meshes to volumetric data, training is both reproducible and performance-tuned with our SOTA model architectures.
Inference for Physics-Based AI Surrogates
Our optimized inference module enables seamless deployment of surrogate models trained with our framework, ensuring high performance and scalability. Emmi AI also offers a growing library of ready-to-use, pre-trained physics models, allowing users to accelerate simulation tasks and integrate intelligent solutions out of the box.
Low Entrypoint. High Ceiling.
Get started in minutes with Configs, use Code for deep customization.
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