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AI-assisted semiconductor design and verification is no longer just a concept. It is now a full-fledged reality that is delivering remarkable productivity gains.
Five new Synopsys.ai Copilot assistants and advisors are now commercially available, putting expert-level guidance and creativity at engineers’ fingertips.
Thousands of users across leading semiconductor companies are already harnessing this first-of-its-kind generative AI technology to transform their workflows. Based on initial feedback, they are experiencing 2–5× faster chip design productivity.
Enhance Your Chip Design with AI
Explore the enhanced Synopsys.ai brochure, featuring cutting-edge advancements in Advanced Optimization, Generative AI, and Agentic AI to transform your chip design process.
New AI assistants and advisors
The semiconductor industry is facing a triad of challenges:
- Increasing design complexity and demand for new compute, memory, and interconnect solutions to support AI workloads and systems.
- Heightened competition and shrinking time-to-market windows.
- A looming talent shortage.
The five new Synopsys.ai Copilot GenAI apps help address these challenges across two broad categories: assistive and creative.
Assistive apps
Synopsys.ai Copilot assistive apps provide intelligent, in-context answers and relevant content in response to user queries. They also offer syntactically and functionally correct scripts:
- Knowledge Assistant — Using commercial and open source large language models (LLMs) as well as proprietary retrieval-augmented generation (RAG) pipelines, this virtual expert provides up to 70% faster time-to-answers. With on-demand answers, recommendations, and contextual support, it offers best practices and troubleshooting guidance across the Synopsys EDA stack, including digital design and signoff, analog and mixed signal design, verification, and test.
- Workflow Assistant — Available for PrimeTime and Fusion Compiler, this intuitive zero-code productivity tool helps engineering teams quickly generate and optimize scripts for automating, configuring, and enhancing design workflows, with up to 60% faster time-to-solution for most use cases and up to 20× faster time-to-solution for specific use cases. It can also automatically generate documentation for existing and new scripts, helping new users ramp up with tools or flows.
Creative apps
Synopsys.ai Copilot creative apps also leverage LLMs and proprietary RAG pipelines, but with a dedicated focus on design and verification acceleration:
- Code Advisor — Performs RTL code generation from natural language input, integrating with Euclide to provide on-the-fly linting and code correctness checks. It accelerates turnaround times for front-end design by rapidly producing functionally correct code. Initial customers are experiencing up to 30% improvement in productivity.
- Formal Advisor — Reduces turnaround times for formal verification by generating syntactically correct Formal test benches directly from documented or natural language specifications. Accessed from VC Formal, Verdi, or Visual Studio Code (VS Code), this AI tool improves formal convergence with iterative, helper-property generation. Initial customers are experiencing a 4-5× productivity boost.
- Lint Advisor — Users automate lint violation fixing and perform new-bug-finding based on natural language rules. It works with VC SpyGlass and Verdi to accelerate lint-clean RTL generation and supports the generation of multi-file automated fixes and inline editing.
“We achieved a 10–30% productivity boost in RTL code generation with Synopsys.ai Code Advisor,” said Toshio Yoshida, SVP and Head of the Advanced Computing Development Unit at Fujitsu. “This was driven by highly efficient generation of SystemVerilog assertions, wrapper modules, and parameterized modules, as well as code refactoring.”
Another AI journey milestone
Synopsys continues to pioneer AI capabilities across the full stack, remaining at the forefront of industry innovation. Bringing the new Synopsys.ai Copilot GenAI apps to commercial availability represents a foundational step toward our broader vision for AI in chip design.
This includes AgentEngineer™ technology — agents and multi-agent systems specifically built and trained to autonomously execute engineering workflows. At Synopsys Converge 2026, we demonstrated the industry’s first L4 orchestrated, multi-agent, adaptive learning workflow for chip design, powered by AgentEngineer technology.
At Synopsys, we are establishing a new paradigm that empowers engineering teams to increase the quality of designs, free their time for additional high-value opportunities, and advance innovation for next-generation chip designs — redefining what is possible in the semiconductor industry.
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