We work with you to find the use cases where AI saves measurable time, compute or physical tests. And we tell you plainly where it does not.
Executives, CTOs, heads of development, simulation and testing
Together with your engineers we structure candidate use cases and rate them by simulation effort, how critical the decision is, data maturity and economic leverage.
What you get Prioritised list of use cases with effort, benefit and next step
We check whether your simulation, test or process data are sufficient for machine learning: volume, coverage of the parameter space, gaps and quality.
What you get Suitability statement, list of missing data, proposal for targeted additions
For larger initiatives, for example in testing and certification: structure use cases, confirm technical feasibility, assess customer value, draw up the implementation plan.
What you get Management summary, opportunity map, architecture concept, pilot roadmap
How do models reach your CAD, CAE, SPDM or PLM landscape? We plan data flows, model maintenance and ownership without rebuilding your infrastructure.
What you get Target picture for integration with data flow and roles
Capture goals, bottlenecks and key decisions in your development process.
Rank use cases by value potential and data maturity.
Confirm data and technical feasibility for the strongest candidates.
Define business case, success criteria and the pilot.
A first call takes 30 minutes. Afterwards you will know whether an assessment is worth it.