Tech Soft 3D Launches HOOPS AI, First AI Framework Integrating Machine Learning into CAD Applications
Tech Soft 3D unveils HOOPS AI, the first AI framework purpose-built for machine learning on CAD data, enabling data scientists and developers to efficiently build scalable ML models that unlock AI-driven innovation in engineering design.
Tech Soft 3D, a global leader in engineering software development toolkits, has launched HOOPS AI, the first AI framework specifically designed to bring machine learning capabilities into computer-aided design (CAD) applications. Unveiled in early November 2025, HOOPS AI empowers data scientists and machine learning engineers to seamlessly prepare, manage, and model CAD datasets—traditionally a challenging and fragmented task—accelerating the development of AI-powered engineering solutions.
HOOPS AI addresses the unique complexities of CAD data, which includes intricate geometry, topology, assembly structures, metadata, and product manufacturing information. By integrating deeply with Tech Soft 3D’s established HOOPS Exchange platform, HOOPS AI supports direct, high-fidelity access to over 30 CAD file formats via a Python API. This eliminates costly, error-prone intermediate conversions and expensive dependencies on external CAD software, providing a consistent and robust data pipeline.
At its core, HOOPS AI offers a unified workflow for dataset ingestion, versioning, experiment orchestration, and results visualization, ensuring reproducibility and transparency in machine learning projects involving CAD data. It also automates tedious data preparation steps such as visualization, segmentation, and cleaning, enabling developers to focus on building and refining ML models.
Gavin Bridgeman, CTO of Tech Soft 3D, emphasized the significance of the launch: “HOOPS AI represents a major leap forward for organizations looking to finally harness artificial intelligence for 3D CAD. It offers a developer-friendly, reproducible pipeline that makes working with CAD data in ML workflows both practical and scalable.”
With the explosion of demand for AI-driven design, simulation, and manufacturing innovation, HOOPS AI arrives as a much-needed solution to empower more efficient, data-driven engineering workflows. The framework targets a broad spectrum of users from startups to established independent software vendors, with the goal of accelerating AI adoption in CAD-centric industries.
The introduction of HOOPS AI marks a key milestone in integrating AI into core engineering software, promising to unlock new levels of automation, insight, and productivity in design and manufacturing processes.
