Digital-Genie is an AI platform for analog and mixed-signal semiconductor design, built around reinforcement learning and large-scale design trajectory exploration. Instead of relying on slow, manual trial-and-error, the platform runs thousands of simulations to learn how circuit parameters, trade-offs, and constraints shape the design space.
Digital-Genie creates and explores this design space using reinforcement learning, expert trajectories, prior design experience, and engineering intuition. It identifies promising paths, avoids poor local solutions, and continuously improves toward target specifications.
Design problems that can take engineers weeks of iterative simulation and tuning can be explored in hours. The result is faster design convergence, richer design intelligence, reusable trajectories, and stronger semiconductor IP. Teams can apply these insights to circuit design, optimization, verification, validation, and future design reuse.