AI Meets Formal: From Trust Anchors to Productivity Gains

Conference: Verification Futures 2026 (click here to see full programme)
Speaker: Dr. Tobias Ludwig
Presentation Title: AI Meets Formal: From Trust Anchors to Productivity Gains
Abstract:

AI promises significant productivity gains in hardware design and verification, but hardware development demands strong guarantees. "Untamed" AI agents cannot provide the level of trust needed for safety-, security-, and cost-critical silicon. In this talk, we argue for a pragmatic middle ground, harnessing AI for speed and scale while keeping correctness anchored in deterministic, well-defined processes. We outline a spectrum of approaches, from formally anchored verified-by-construction AI-assisted design flows to AI-enhanced verification that operates within well-defined guardrails. The goal is not to replace rigor with probability, but to use AI to automate tasks without sacrificing determinism, traceability, or trust.

Speaker Bio:

Dr. Tobias Ludwig is the Founder and CEO of LUBIS EDA, a company dedicated exclusively to formal verification for digital IP and SoC teams. With more than a decade of experience in formal verification, Tobias has scaled LUBIS EDA from an early-stage startup into a focused formal verification company serving complex silicon teams worldwide, bringing formal methods into practical, day-to-day sign-off for high-risk designs. Tobias holds a PhD in Computer Engineering with a focus on formal methods and hardware verification.

Key Points:
  • AI boosts hardware design and verification productivity but lacks trust guarantees.
  • The talk proposes combining AI speed and efficiency with formal, deterministic guardrails.
  • It presents a spectrum of approaches aimed at leveraging AI for design and verification without compromising trust.