Engineering AI platform, built with you in your own tenant
In short
An engineering AI platform is a company's central environment for AI: approved language models, connections to CAD, PDM and ERP, access rules, logging and the AI applications of each department. We build it with you in your cloud tenant with EU hosting or on-premise, model-independent and connected to Solid Edge, SolidWorks and your PDM.
Updated 27 Oct 2026
We build your own AI platform together with your IT and design teams. It runs in your cloud tenant or data centre, uses the models you approve, reads CAD and PDM data with your permissions and remains yours after the project. Proven building blocks shorten the setup, and every application is tailored to the department that uses it.
- Start with
- Quick Scan or PilotQuick Scan €4,900 · Pilot €29,900
- Systems
- Solid Edge, SolidWorks, Inventor, CATIA, SolidWorks PDM, Autodesk Vault, 3DEXPERIENCE
- Result
- Your own AI platform with applications per department
Services in this area
Platform architecture
Before the first AI application goes live, five decisions shape everything that follows: which models may be used and how they can be replaced, where the platform runs, how users sign in, where data and logs are stored and who pays for which consumption. We make these decisions with your IT and write them down as a target architecture.
Learn more →CAD and PDM connectors
An AI application is only as useful as the data it can reach. Part numbers, revisions, BOMs, lifecycle states and file properties sit in the PDM and in the CAD files. The connectors make this data available to the applications on your platform and carry over the permissions that already exist in your PDM.
Learn more →AI governance
Once several departments use AI, someone has to decide which applications go live, which data they may read, which models may process design data and what is logged. Governance answers these questions with a few clear roles and rules, so new applications get approved quickly and audits find what they look for.
Learn more →Operations
After go-live the work changes: providers retire model versions, costs grow with use, PDM structures change and departments ask for the next application. Operations keeps the platform reliable and turns new requests into tested applications.
Learn more →
Systems we work in
- Solid Edge
- SolidWorks
- SolidWorks PDM
- Autodesk Vault
- 3DEXPERIENCE
How a project runs
Packages have a fixed scope and price; consulting and open-ended work run at day rates. You decide after each step.
- 01
Intro call
45 minutes with a live demo and a first look at your task.
- 02
Quick Scan
One week, up to two workshop days. You get ranked use cases and a fixed-price offer.
- 03
Sprint
One use case built as a quick win at a fixed price.
- 04
Rollout
Further use cases across teams and sites.
Frequently asked questions
What is an engineering AI platform?
An engineering AI platform is a central environment in which a manufacturer runs its AI applications: access to approved language models, connections to CAD, PDM and ERP, permissions from the existing identity provider, logging and cost control. Departments such as design, purchasing, service and documentation get their own applications on this common base, with one set of security rules and budgets.
What is the difference between an engineering AI platform and AI features built into CAD and PDM software?
AI features built into CAD and PDM software, such as the virtual companions in SolidWorks 2026, work inside one product and with its data. An engineering AI platform connects data across CAD, PDM and ERP, serves several departments and follows the company's own rules for models, hosting and logging. Both can run side by side.
Which departments in a machine building company use AI applications?
Design, purchasing, service and technical documentation are common starting points, because they work with the same part numbers, BOMs and drawings. Examples are where-used and release questions in design, BOM checks against ERP data in purchasing, finding spare parts in service and drafting spare parts lists in documentation. Which comes first depends on data quality and benefit.
How long does it take to set up an AI platform in mechanical engineering?
The platform grows with its applications, so the first step is one application with the platform beneath it. At axometra, a one-week Quick Scan for €4,900 ranks the use cases and checks data and interfaces, a Pilot for €29,900 runs the first application in your tenant within 6 to 8 weeks, and a rollout to further departments starts at €59,000.
Talk to us about your task.
In the free 45-minute intro call we show a live demo on comparable geometry. Someone from our team replies personally within one working day.