Xplore's RWE-Bench grades AI agents with physics solvers on CAD, PCB and CFD tasks

Xplore builds what it calls high-fidelity reinforcement learning environments and evals around real engineering workflows. Its first public benchmark, Real World Engineering Bench (RWE-Bench), evaluates frontier AI models on mechanical tasks (parts and mechanisms modelled in CAD and checked for strength, fit and motion), electrical tasks (high-speed PCB routing, including DDR memory and PCIe links) and aerospace tasks (CFD and conjugate heat transfer, from building the mesh to a converged solution). Agents work in a sandbox with CadQuery, Gmsh, CalculiX and Python, and every run is graded by a deterministic verifier that runs physics solvers, with no LLM or human grading. Podcaster Dwarkesh Patel wrote that he is backing the company, founded by engineers Miguel and Carlos; the amount was not disclosed.

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