Siemens has introduced a new agentic AI driven capability within its Questa One platform, aimed at accelerating integrated circuit design and verification workflows as semiconductor complexity continues to rise. The move reflects the industry’s growing reliance on intelligent automation to manage advanced node designs, multi-die architectures, and increasingly demanding verification requirements.

The latest enhancement brings agentic AI into the core of the Questa One smart verification environment, enabling autonomous workflows that can plan, execute, debug, and close verification tasks with minimal manual intervention. These AI agents are designed to operate within defined boundaries, allowing engineers to maintain control while benefiting from faster execution and improved productivity.

Unlike traditional automation tools that handle isolated steps, the agentic AI approach focuses on end-to-end workflows. The system evaluates design context, determines next actions, and adapts strategies across verification cycles. By learning from previous runs, the AI builds reusable expertise that improves efficiency over time.

Siemens positions this development as a response to the widening verification gap caused by advanced semiconductor designs. As RTL complexity increases and schedules tighten, manual verification processes struggle to scale. Agentic AI aims to address this challenge by automating repetitive and data intensive tasks while supporting engineers in higher value decision making.

The agentic capabilities within Questa One include multiple specialized AI agents focused on common verification activities. These agents assist with RTL code analysis, lint configuration and execution, clock domain crossing checks, verification planning, and debug workflows. Together, they form an integrated system that reduces setup time, shortens debug cycles, and improves overall verification coverage.

A key aspect of the approach is flexibility. The agentic AI workflows are designed to integrate into existing verification environments without requiring teams to abandon established methodologies. Engineers can introduce AI driven automation incrementally, applying it to targeted tasks or full verification flows depending on project needs.

Early adoption feedback highlights measurable improvements in turnaround time and productivity. Tasks that previously required extensive manual effort can now be completed significantly faster, allowing teams to meet aggressive project schedules while maintaining quality and confidence in results.

With verification consuming a growing share of overall chip development effort, Siemens’ integration of agentic AI into Questa One signals a broader shift toward autonomous, intelligent EDA workflows. As the semiconductor industry continues to push performance, power efficiency, and scale, agentic AI is expected to play an increasingly central role in enabling faster and more reliable IC design and verification.