CoDesignAI Information

CoDesignAI develops AI-powered electronic design automation (EDA) software for analog and mixed-signal IC sizing, simulation-driven design-space exploration, and multi-objective analog circuit optimization. Our vision is an intelligence fabric orchestrating the design journey of analog and mixed-signal ICs, helping semiconductor and IP teams navigate combinatorial complexity and move from design intent toward silicon faster. With coupled variables, competing KPIs, constraints, PVT corners, and operating conditions, manual transistor sizing and SPICE simulation can become bottlenecks for engineering time and simulator capacity. Within a customer’s existing EDA workflow, engineers define topology, variables, targets, constraints, and validation conditions. CoDesignAI proposes candidate sizings, orchestrates supported simulators, learns from each result, and directs the next exploration step. It returns ranked, simulation-validated candidates with KPI records and trade-offs for engineering review and sign-off. Teams can explore alternatives, converge faster, use simulator tokens more effectively, and expand design capacity without replacing engineering judgment or forcing a platform migration. CoDesignAI supports on-premises deployment, so netlists, models, and results remain in the customer environment. It connects with supported SPICE and system-level simulators for PVT/corner-aware exploration, Monte Carlo-related retuning, design variants, and analog IP node migration. In a recent industrial pilot, CoDesignAI met the customer’s criteria across three analog benchmarks. On the most complex (50 components, 40 variables, and 27 KPIs), it produced comparable, engineer-approved results in about one week, including 43 hours of simulation, versus an estimated two-month senior-engineer optimization cycle. Results are benchmark-specific. Is a block holding up your schedule, or are you curious how to optimize your workflow? Contact us for a technical demo or pilot.