Agentic Analog Platform, Predictive Device AI

Agentic Analog Platform: Multi-agent AI framework that pairs “designer” agents (acting as judges) with “layout” agents (acting as engineers). Through continuous active learning loops, Leafy's system autonomously navigates complex fabrication rules and trillions of design variables in parallel. By leveraging the Leafy agentic platform, the platform transforms design blueprints into optimized, tape-out-ready layouts in hours, a task that previously required months of manual effort from experienced engineers. Predictive Device AI: Standard AI models require millions of data points, but silicon data is notoriously sparse. Leafy's explainable models learn from fewer than 50 measurements to predict transistor behaviors with a 2% testing error, showing best-in-class performance (traditional models with >70% errors).

Leafy Lab pioneers agentic design optimization for the semiconductor value chain, building tools to enable autopilot for chips. By targeting software, verification, and IP markets projected to exceed $197B by 2030, Leafy Lab expands this landscape through its proprietary Intelligence Agents. Leafy Lab uses integrated chip designer intuition and automated simulation pipelines to transform current trial-and-error approaches. Leafy's platform achieves a global optimum in power, performance, and area (e.g., a 3.6 times improvement in performance), increasing first-silicon success and delivering at least 50% faster time-to-market.