Siemens Fuse EDA agent reliability raised from ~55% to ~95% using NVIDIA NeMo Gym
Siemens used NVIDIA NeMo Gym to evaluate and improve its Fuse EDA AI Agent for standard-cell characterization, boosting a composite verification score from about 55% to ~95% across a representative benchmark. Refining agent skills and Model Context Protocol (MCP) tool descriptions based on verifier diagnostics also cut agent turns from 155 to 53 and reduced output tokens from ~81K to ~29K.