BEND, OR, Nov 7, 2025 – Tech Soft 3D has launched HOOPS AI, that connects CAD data to machine learning development. It unifies CAD access, dataset preparation, and encoding, creating a direct path from design data to production-ready ML models.
While machine learning is widely adopted, CAD data has been difficult to use in these workflows. HOOPS AI addresses this gap by providing a framework for building ML models from CAD data. It gives data scientists and developers an environment to prepare data, manage experiments, and develop ML models at scale.
Tech Soft 3D has experience processing CAD data for the engineering industry. The company’s data access libraries are used by software developers, including Ansys, Siemens, Hexagon, NVIDIA Omniverse, Unreal Engine, and Unity 3D. It continues to improve data compatibility and processing speed for design and simulation.
“HOOPS AI represents a major leap forward for organizations looking to finally harness artificial intelligence for 3D CAD,” said Gavin Bridgeman, CTO, Tech Soft 3D. “It provides a complete, reproducible pipeline that makes machine learning workflows with CAD data both practical and scalable.”
Tech Soft 3D seeks to combine AI and CAD data for its 750+ software partners and the broader engineering industry.
Much-Needed Innovation in CAD and AI Integration
Although CAD data underpins modern engineering, it remains untapped by AI. Engineers often rely on separate tools and manual methods to handle large datasets, leading to fragile workflows. Frequent changes in research and software can also make past work obsolete. The growing use of machine learning in design, simulation, and manufacturing has highlighted the need for a better approach.
HOOPS AI provides that foundation by combining CAD access, dataset preparation, and optimized encoding in one framework. It streamlines the process, allowing teams to focus on building and testing ML models instead of managing data.
Architecture and Implementation
HOOPS AI builds on the foundation of HOOPS Exchange through a Python API. This avoids intermediate conversions and eliminates dependence on CAD systems.
From here, HOOPS AI automates dataset preparation with tools for visualization, segmentation, and cleaning, plus encoders that convert CAD models into ML-ready formats. It manages ingestion, versioning, and experiment tracking to ensure reproducible results, supported by built-in visualization for insights at every stage.
End-to-End Workflow Orchestration
HOOPS AI supports every stage of the machine-learning process, from data preparation to model training. Its storage and logging tools record workflow steps, ensuring traceability and consistent experiment results. These features help teams manage projects effectively. The platform serves data scientists, researchers, startups, and software developers applying 3D data in AI and machine-learning systems.
Source: Tech Soft 3D
About Tech Soft 3D
Tech Soft 3D, founded in 1996, provides engineering software development toolkits (SDKs) and industrial applications for 3D data conversion and visualization. Headquartered in Bend, OR, with additional offices in France, England, Japan, Germany, and Norway, the company serves industries such as CAD, CAE, and CAM. Their product offerings include solutions for CAD data translation, visualization, and data publishing, facilitating the development of applications across desktop, mobile, and web platforms. As of December 2024, Tech Soft 3D reported annual revenues of approx. $35 million and employed around 180 individuals. The company has expanded its capabilities through acquisitions, including Theorem Solutions in June 2024.