Technology

Learns fast. Verifies everything.

primoartes builds engineering intuition the way a veteran engineer does — through experience — but across every operating condition at once, using multi-fidelity, hierarchical methods to cut how many costly high-fidelity runs conventional methods need.

How primoartes gets fast

It already knows where the answer is.

primoartes learns how the optimal design shifts across the full range of operating conditions and objectives in advance — not just for one setting, but for the whole space of possibilities. So when your specific requirements arrive, it isn’t starting a search from zero: it already knows where the best answer lies, and matches it to exactly what you asked for.

01
Explore in Advance
primoartes maps how the optimal design shifts across every condition and objective, before any request arrives
02
Match Your Requirements
Your specific conditions and objectives are placed on that map instantly — no search from scratch
03
Deliver, Verified
The matched design is confirmed against real, full-scale simulation before it reaches you
The result: a verified answer built for your exact requirements, arriving in a fraction of the time conventional design allows.
primoartes proposes a candidate design CAE checks it real physics, every time try a design here’s how it performed Design quality over successive attempts Optimal design Attempts →
Core intelligence

primoartes

Traditional optimization solves for a single operating point, forcing a full restart whenever requirements shift. primoartes learns through experience — the way an expert engineer builds intuition over years — acquiring design know-how that generalizes across the entire operating envelope, not just one condition.

Conditions × Parameters × Objectives — worked through together, not traded off one at a time.
Under the hood

A verification-first reference architecture.

From the engineering brief down to the evidence trail, every layer exists to keep the final answer checked against reality — not just plausible-looking output.

Engineering intent & requirements objectives · requirements · operating envelope · specs · approval policy
Orchestrator / Planner task decomposition · tool routing · budget · human approval gate
Domain agents Requirements · CAD cleanup · Meshing · Solver · Optimization · Verification
Engineering tools CAD/PLM · mesher · solver (CFD/FEA) · compiler · HPC/GPU · post-processing
Evidence & memory provenance · logs · metrics · failure taxonomy · knowledge graph · reusable playbooks
Results are verified through tool execution and evidence — not model output — in a closed loop that returns to an earlier step whenever a check fails.
See it applied

Built to generalize to any CAE problem.

Explore the use cases →

See how fast primoartes can get to a confirmed design on your problem.