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AgentEngineer™: Transform Engineering with AI-powered Automation
Synopsys Autonomous Verification Closure Agent: 50× faster RTL validation, +20% higher coverage
Autonomous, goal-driven DV workflow built on Synopsys agentic AI. A long-running orchestrator coordinates agents from test planning to coverage closure and debug—compressing weeks into hours, up to 50× faster RTL validation and +20% coverage.
AgentEngineer™
AgentEngineer™ is built on Synopsys’ industry-leading Agentic AI framework, enabling a new class of AI-powered agents that go far beyond traditional automation. These agents can reason, plan, learn, and execute engineering tasks both individually and in coordinated teams. By working together, these multi-agent systems can tackle complex, multi-step engineering challenges that previously required significant manual effort and expertise. As AgentEngineer technology takes on more computationally intensive tasks, in addition to providing oversight, human engineers will be able to focus more on higher-level activities such as strategic thinking and complex problem solving.
- Reason and Plan: Agents analyze goals, constraints, and available resources to develop intelligent plans of action, adapting dynamically as requirements evolve.
- Learn and Improve: With every project, agents learn from outcomes and feedback, continuously improving their strategies and effectiveness.
- Execute and Orchestrate: Agents autonomously carry out tasks such as RTL generation, verification planning, testbench creation, and more—streamlining processes and freeing engineers to focus on higher-value innovation.
As the first company to deliver GenAI agents and envision the future of Agentic AI through our L1 – L5 framework, Synopsys is leading the development of Agentic capabilities our customers will use to address greater complexity, accelerate time-to-market and enable revolutionary engineer productivity. The figure below shows the progression from basic, assistive automation (L1) to collaborative, partially autonomous agents (L2–L4), and ultimately to highly autonomous, self-directed agents (L5), where human engineers rely on AI agents for a myriad of engineering tasks.
