Spatial Boosts 3D Engineering with Foundational SDK Enhancements

BROOMFIELD, Colo. – April 24, 2026 – Spatial Corp., the Dassault Systèmes subsidiary providing core 3D software development toolkits (SDKs), today announced its Release 2026 1.0.1, a significant update poised to refine engineering workflows across multiple industries. The new release delivers a suite of enhancements to its 3D InterOp, Data Prep, Meshing, and 3D Modeling products, strengthening the foundational technology that powers countless applications in design, manufacturing, and simulation.

While often operating behind the scenes, these SDKs serve as the engine for many of the world's leading technical applications. This latest update focuses on optimizing three critical areas: seamless data exchange between different software, automated preparation of complex models for analysis, and more robust tools for creating intricate digital geometry. By addressing these core challenges, Spatial aims to empower developers and, in turn, accelerate innovation for the end-users who rely on these sophisticated tools daily.

Weaving a Stronger Digital Thread with Advanced Interoperability

A persistent challenge in digital manufacturing is the 'Tower of Babel' problem, where different software systems struggle to communicate effectively. Spatial's Release 2026 1.0.1 directly targets this issue with major upgrades to its 3D InterOp toolkit.

A key enhancement is the expanded support for Product Manufacturing Information (PMI). PMI embeds critical data like geometric dimensions, tolerances, and material specifications directly into a 3D model, creating a single source of truth. The new release enables the STEP reader to import graphical PMI and the JT reader to support semantic PMI, both at the assembly level. Furthermore, the NX reader can now interpret PMI created in drafting mode. This seemingly technical update has profound implications, ensuring that crucial design intent is not lost in translation as a model moves from the designer's desktop to the manufacturing floor. This strengthens the digital thread, reducing errors and ambiguity in production.

Data efficiency also receives a major boost. The glTF writer now incorporates Draco compression, an open-source library from Google for compressing 3D graphics. This can dramatically reduce the file size of complex meshes and point clouds without significant loss of detail. For developers creating web-based 3D viewers, augmented reality work instructions, or collaborative online design tools, this means faster load times, lower bandwidth usage, and a much smoother user experience, making large, complex models more accessible than ever.

Finally, the release ensures continued compatibility with the latest industry software, updating support for CAD formats including JT 10.11, NX 2512, and Solid Edge 2026. This commitment allows application developers to provide their users with reliable data exchange, preventing workflow disruptions caused by version incompatibilities.

Automating the Path from Design to Simulation

Before a digital model can be used for advanced simulation—such as stress analysis or fluid dynamics—it must be meticulously prepared. This pre-processing stage has traditionally been a manual, time-consuming bottleneck. Spatial's latest enhancements aim to automate and simplify this critical step.

The new Mesh Healing functionality within the CSM Surface Mesher acts as a digital custodian for 3D models. It automatically detects and resolves geometric flaws like invalid intersections, self-intersections, or gaps in a surface mesh. By cleaning up this “dirty geometry,” the tool ensures the model is robust and ready for the next step of creating a volumetric mesh for simulation, preventing analysis failures and improving the reliability of results.

Similarly, the Data Prep toolkit's Hidden Body Removal (HBR) feature has been expanded. It can now intelligently remove obscured or internal components from complex assembly models sourced from formats like Solid Edge, Revit, 3MF, and OBJ. This de-featuring process is vital for simplifying models for analysis or visualization, reducing computational load and allowing engineers to focus simulations on the most critical components.

For industries like AEC and process plant design, the enhancements to Mesh Prep for ACIS are particularly noteworthy. The add-on module now features improved algorithms for calculating the centerlines of complex pipe networks, even those with concentric inner and outer walls or intricate joints and branches. This automation drastically speeds up the setup for fluid flow or structural simulations, turning hours of manual work into a process that can be completed in minutes.

Elevating the Art of Complex 3D Modeling

At the heart of any CAD application is its geometric modeling kernel, which defines the mathematical rules for creating and manipulating shapes. Spatial's 3D ACIS Modeler, a widely used kernel, receives significant updates that give designers more power and reliability.

The introduction of Rho-Conic cross-sections for blending (filleting) provides designers with greater control over the shape and curvature of surfaces, allowing for the creation of more aesthetically pleasing and functionally optimized designs. The release also improves the modeler's robustness when handling multiple, simultaneous blending operations, preventing common modeling failures like overlaps and interference between blended edges.

Furthermore, both the 3D ACIS and 3D CGM Modelers now feature enhanced tools for detecting and resolving self-intersections in curves and edges. This capability is crucial for maintaining a topologically valid model, which is essential for any downstream operation, from shelling to meshing to manufacturing. By catching and correcting these issues early, the kernel helps prevent errors that could cascade through the entire design process.

These core modeling improvements empower developers to build applications that can handle more demanding geometric challenges, allowing end-users to push the boundaries of design complexity without being hindered by software limitations. They represent a continued investment in the fundamental mathematics that makes modern 3D design possible.

Powering the Broader Vision of Digital Transformation

As a subsidiary of Dassault Systèmes, Spatial's technological advancements do not occur in a vacuum. They serve as a foundational layer for the broader strategic vision of its parent company, which champions the 3DEXPERIENCE platform and the concept of the digital twin. A digital twin—a virtual replica of a physical product, process, or system—requires a constant flow of accurate, interoperable, and clean geometric data. The enhancements in Release 2026 1.0.1 directly feed this need.

Improved PMI handling ensures the digital twin is rich with manufacturing intelligence. More efficient data formats like compressed glTF make it feasible to visualize and interact with these complex twins on a wider range of devices. Automated mesh preparation and robust modeling kernels provide the high-quality geometry necessary to run accurate simulations on the virtual model, predicting real-world performance.

By continuing to strengthen these core SDKs, Spatial provides the critical building blocks that enable not only Dassault Systèmes but a wide ecosystem of software vendors to develop the next generation of tools for Industry 4.0. These seemingly incremental updates are, in fact, the essential groundwork enabling more sophisticated digital manufacturing processes, greater integration across the product lifecycle, and the realization of truly comprehensive virtual models.