Siemens has launched a significant advancement in electronic design automation (EDA) with the Questa One Agentic AI Toolkit, a new addition to its Questa One smart verification software that brings agentic artificial intelligence (AI) directly into integrated circuit (IC) design and verification workflows. This toolkit addresses one of the most persistent bottlenecks in semiconductor development by automating intricate verification processes and enabling engineers to achieve faster, more reliable register-transfer level (RTL) sign-off while preserving human oversight and expertise.

The increasing complexity of modern IC designs, especially with 3D architectures, chiplets, and software-defined systems, has widened the productivity gap in verification. Traditional approaches rely on isolated tools that engineers must coordinate manually, often creating inefficiencies and delayed schedules. Siemens’ new agentic AI solution aims to shift this paradigm by integrating multi-step autonomous workflows that reason, plan, and execute verification tasks within defined governance boundaries, all from within familiar engineering environments.

Why This Matters for Semiconductor Development

Integrated circuits are foundational to nearly every modern technology, powering devices from smartphones to data centers and autonomous vehicles. As designs become more advanced, the verification phase—where engineers ensure that a chip behaves correctly under all intended conditions—becomes increasingly arduous and time-intensive. The Questa One Agentic AI Toolkit promises to streamline these workflows by leveraging cognitive reasoning, contextual awareness, and automation.

Here are the key challenges this technology addresses:

Rising verification complexity: New architectures require comprehensive checks that can be difficult and slow to perform manually or with legacy tools.
Demand for faster time to market: Product cycles are tightening, putting pressure on engineers to deliver correct designs quickly.
Skill gaps in verification methods: Techniques like formal verification require steep learning curves that deter adoption and slow productivity.

The toolkit is positioned to boost productivity, reduce manual coordination, and allow engineers to focus on innovation rather than repetitive tasks.

What the Agentic AI Toolkit Offers

At its core, the Questa One Agentic AI Toolkit introduces intelligent agentic workflows that embed AI deeply into the verification lifecycle. This is different from infusing standalone AI features into individual tools. Instead, the system orchestrates coordinated multi-step processes that understand context and adapt strategies dynamically.

Key Agentic Components

The toolkit launches with several specialized AI agents tailored to critical verification functions:

RTL Code Agent: Converts natural language descriptions into synthesizable RTL code while checking for coding violations and suggesting fixes, helping engineers generate high-quality RTL efficiently.
Lint Agent: Automates the detection and correction of common coding errors and style violations, streamlining routine checks.
CDC (Clock Domain Crossing) Agent: Configures and executes clock domain crossing verifications, offering guidance on design adjustments and fixes.
Verification Planning Agent: Analyzes design specifications and automatically generates structured verification plans, allowing engineers to rapidly scope their testing strategies.
Debug Agent: Identifies root causes of failures by correlating simulation data, waveforms, and assertions, accelerating problem resolution.

These agents are built on a foundation of Model Context Protocols (MCPs) that expose real-time design and verification data to the AI workflows, enabling context-aware decision-making and task execution.

Seamless Integration and Flexibility

A standout feature of the toolkit is its framework-agnostic architecture. While optimized for integration with Siemens’ Fuse EDA AI system—a comprehensive agentic and generative AI framework—the solution can also work with third-party AI platforms. This ensures that organizations can adopt Siemens’ intelligent workflows without discarding their existing tools or AI investments.

The toolkit supports workflows within developers’ existing environments, including command-line interfaces (CLI) and integrated development environments (IDEs) such as Visual Studio Code. It also interfaces with other EDA tools in Siemens’ ecosystem, such as Tessent for design-for-test and Veloce CS for hardware-assisted verification, making it a broad-reaching solution across verification tasks.

Productivity Gains and Early Feedback

Early access users have already reported significant productivity improvements. For instance, engineers with limited exposure to the toolkit were able to complete tasks in hours that traditionally took days. By integrating AI into core activities like planning and debugging, teams have reduced cycle times and lowered the barrier to using advanced verification methodologies.

Feedback from industry partners also highlights the value of combining human expertise with intelligent automation. Experienced engineers still retain final decision-making control, while AI handles structured reasoning, repetitive tasks, and data-rich analysis. This balance enhances both speed and trust in the verification process.

Benefits for Engineering Teams and Organizations

The Questa One Agentic AI Toolkit delivers multiple benefits across team structures and project scales:

Higher productivity: Automation reduces manual effort and accelerates routine workflows.
Improved quality: Context-aware agents produce higher quality outputs with fewer errors.
Faster RTL sign-off: Faster verification cycles help teams meet tight schedules.
Better utilization of talent: Engineers can focus on complex problem solving instead of repetitive tasks.
Flexible adoption: Framework-agnostic design supports diverse development environments.

By addressing both technical and operational pain points, Siemens’ solution supports organizations aiming to stay competitive in the fast-paced semiconductor industry.

Conclusion

The Questa One Agentic AI Toolkit represents a significant leap forward in how integrated circuit verification is performed. By embedding agentic AI workflows into core EDA processes, Siemens is empowering engineering teams to work smarter, not harder. The approach blends advanced automation with human oversight, offering a balanced path to faster verification, better results, and improved productivity. With adoption growing through early access, this toolkit is poised to influence the future of chip design verification and help meet the demands of increasingly complex semiconductor systems.