AI Agents for DV Debug

Debug consumes 40-60% of verification time and represents the critical path to tape-out in modern chip development. AI agents, powered by generative AI and integrated with AI-native EDA tools, can transform debug productivity by autonomously analyzing complex waveforms, identifying root causes, and iterating on solutions. Unlike traditional approaches requiring extensive customization, generative AI generalizes across diverse design environments, enabling rapid deployment and consistent performance without project-specific fine-tuning.

Jeffrey Pan is the cofounder and CTO of Bronco AI, with extensive experience advancing AI applications. At age 15, Jeffrey was the youngest-ever author at CVPR (the highest-impact ML conference). He then won the MIT-IBM Best Paper Award at KDD's AdvML (Adversarial ML) Workshop, and his real-time edge model won First Place in an international competition focusing on efficient ML and hardware-software co-design. He was then a founding member of an AI research team that deployed generative AI models to hundreds of millions of monthly active users before cofounding Bronco to bring AI to semiconductors and other fundamental industries.