Your 3D data starts in tools built for engineers. SolidWorks, AutoCAD, Revit and Blender each export in their own formats, with their own units, layers and naming. Getting a model from there to a web page, a catalog or an ERP record usually means a person exporting, cleaning and renaming files by hand. Every manual step is slow, and each one is a chance for the web version to stop matching the part that ships.

We build pipelines that pick up models when they are released, convert them to glTF, reduce polygon counts and compress textures for the web, and run automated checks for scale, missing materials and broken geometry before anything is published. Part numbers and attributes flow to PLM, ERP and your ecommerce catalog with the model, so every system points to the same revision. Each run is logged, and a failed check stops the release and alerts your team instead of shipping a broken file.

A 3D viewer is easy to demo. A configurator that sells is harder. It has to load fast on a phone, show only combinations you can build, and price each one from the same rules your ERP uses. A digital twin has the same problem in a different form: the model is only useful if it reflects live data from the equipment or building it represents, not a snapshot from installation day.

We build browser 3D with WebGL and WebGPU in React and TypeScript, tied to your product rules and pricing so every option is validated and priced as the buyer chooses it. Buyers can preview products in their own space with AR on their phone, and finished configurations reach your CPQ, ERP or cart as valid orders. For digital twins, we connect the model to sensor data and show status, alerts and history in the same view. Load times and errors are tracked on real devices.

Generative tools can now draft a 3D model from a sketch, a photo or a sentence, and render a product in any scene. The results are often close but not right: proportions are off, details are invented, and a generated part can look correct while matching nothing you make. Your asset library is a separate problem. Thousands of models and renders sit in folders, with filenames as the only way to find them.

We use text-to-3D and image-to-3D models to draft concepts and placeholder assets, and generate color, material and scene variants from your approved models so renders don't wait in a queue. Vision models tag and describe your existing library so your team can search it by shape, part or style. Every generated asset is labeled as generated, compared against the source model and approved by a named reviewer before it reaches a product page or a customer.