PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
Enables AI agents to design RF filters and SMPS-EMC from spec using three MCP servers that drive LTspice, Qucs-S, and scikit-rf, with closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.
Enables engineers to convert antenna papers/diagrams and natural language specs into auditable, versionable HFSS Python modeling code, with optional simulation and parametric optimization.
Enables AI-assisted design of antennas and electromagnetic structures using openEMS FDTD simulation, with analytical dimension calculators and full-wave script generation.
Enables AI agents to formally verify constant-time, masking, and patch completeness properties of Verilog hardware designs, providing concrete leakage signals and next-step guidance.
Enables AI agents to control CST Studio Suite for 3D electromagnetic simulation, antenna design, and schematic-based field-circuit co-simulation through 177 MCP tools.