Surrogates
Replace part of your costly simulations with calibrated predictive models, together with their uncertainty intervals.
Consulting
Put AI to work for your engineering.
Surrogates, active learning, optimisation and AI-assisted MBSE: methods applied to your simulations and tests, with the traceability engineering demands.
AI in the design loop
Active learning and optimisation
Choose the next simulations or tests where they bring the most information, to converge in fewer iterations.
AI-assisted MBSE in SysML v2
Requirements, architecture and verification cases in a SysML v2 model, with AI kept within phase gates.
Engineering software and governance
AI-assisted engineering software
Calculation and simulation tools built with AI, spec-first and traceable from requirement to test.
AI governance for engineering
A roadmap and governance framework aligned with the EU AI Act and ISO/IEC 42001, applied to your engineering activities.
Need a first pilot on a design loop?
CognitiveSand can help choose the right use case, build the pilot and decide from evidence.
Example: AI-assisted engineering
CognitiveSand’s founder developed a full aerodynamic optimisation CFD suite with active learning to design fairings for a speed-skiing champion. This illustrates the preferred Physics-First Innovation pattern on the engineering side: combine engineering discipline, modelling and AI. The result: the cost of an aerodynamic iteration divided by 30.
Delivery
- One engagement at a time, founder-led end to end.
- Available in French and English.
- Delivered on-site or remote.
- Scoped around clear outcomes, governance and measurable impact.