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Framework for CAD-based Machine Learning

Accelerate the development of machine learning models with your CAD data and build applications of the future.

Evaluate HOOPS AI
Leverage the Power of HOOPS Exchange

Combine the power of machine learning with the leading CAD access SDK to gain access to over 30 CAD file formats and provide access to geometry, topology, metadata, PMI, feature trees, assembly structures, and more. 

 
Accelerate ML Development

Save precious development time with HOOPS AI to build the technical foundation to train models on your engineering data through dataset preparation and CAD encoding at scale.
Deploy CAD ML models without CAD software

Organize CAD data, run experiments, and put AI models into production without relying on any CAD applications.
Built for Developers

Made for developers by developers. HOOPS AI brings your CAD translation into Python through a developer-friendly toolchain. 

Key Features
  • Robust set of Python APIs to streamline dataset preparation, along with built-in visualization tools. These tools make it easy to spot and correct inconsistencies, anomalies, and errors, ensuring your datasets are reliable before they ever enter your training pipeline.
  • Ready-to-use tools that transform raw CAD data into formats machine learning algorithms can understand and process.
  • End-to-end orchestration of the entire machine learning workflow, covering data access, dataset preparation, and encoding, ensuring repeatable, efficient experimentation. Storage and logging tools record every step of the pipeline, enabling full traceability while accelerating iteration cycles.
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Evaluate HOOPS AI

Leverage the power of HOOPS AI to build better software today.