Your 3D models, validated against requirements. Automatically.
A check that takes your team hours runs in minutes. The agent connects to your 3D model and your requirements, runs compliance checks, and produces a structured issue report.
We're onboarding a limited number of engineering teams for the early pilot program


Engineering review still runs on manual checklists. And someone has to work through every one
Every design that moves through a review gate gets checked manually. An engineer opens the model, pulls up the requirements, and works through it item by item. It takes time, results depend on who runs the review, and issues that get missed tend to surface late - when fixing them costs more.
Hours per review, per engineer
Hundreds of specifications, norms, lists to check
Issues caught too late


Automated validation cuts review time by


instant3Dhub connects your agents to 3D data for automated 3D workflows.
instant3Dhub is the integration layer that gives AI agents structured, queryable access to 3D geometry enabling automated engineering workflows. You bring the requirements and the 3D data. The agent does the checking. instant3Dhub is what makes the connection possible.

Build Room Compliance
Does the assembly fit within the defined build room?


Heat Clearance Validation
Is there sufficient distance between heat-generating components and surrounding parts?


The same logic applies
across your entire review catalog
Any check with a clear requirement and a measurable answer can be automated. Examples:
Bonding Zone Validation
Fastener Case Checks
Weld Point Accessibility
Packaging Constraints
Wall Thickness
Norm Compliance

If geometry validation is a bottleneck for your team, there are a limited number of pilot spots open

Frequently Asked Questions
How can engineering teams automate the technical review of CAD models?
Engineering teams automate technical review by connecting their requirements and their 3D models to a review agent that runs the checks for them. The agent reads the requirements, inspects the geometry, and returns a structured pass or fail report. Checks that take several hours of manual work run in minutes, so reviewers spend their time on judgment calls instead of working through a list.
Can AI automatically check a CAD model against requirements and standards?
Yes. Any check with a clear requirement and a measurable answer can be automated, including build room and bounding box limits, heat and clearance distances, bonding zones, fastener cases, weld accessibility, wall thickness, and packaging constraints. The agent validates the geometry against your internal standards, industry norms, and customer requirements, then flags what fails with the exact location in the model.
How do AI agents access and check 3D CAD data?
Most AI agents cannot read native 3D geometry on their own. instant3Dhub is the layer that gives them structured, queryable access to the model through APIs and MCP servers, so an agent can measure distances, read part relationships, and reference exact geometry. You bring the requirements and the 3D data, the agent does the checking, and instant3Dhub makes the connection possible.
Does automated engineering review work with our existing CAD and PLM systems?
Yes. instant3Dhub connects non-invasively to your existing PLM, PDM, and CAD systems and streams the data live, with no export step and no separate copy to maintain. It fits into the IT landscape you already run, so automated review reads from your current source of truth instead of a duplicate.
Is our engineering data secure with an automated review platform?
Yes. instant3Dhub runs in your own cloud or on-premises, so your 3D data never has to leave your environment. It has been hardened over more than 15 years alongside leading German OEMs to meet enterprise security requirements, and it streams only what a user or agent needs rather than moving full files around.

.webp)

%202.webp)