Synopsys recently announced expanded generative AI capabilities through offerings such as Ansys Engineering Copilot and AgentEngineer technology.
www.allaboutcircuits.com, Oct. 01, 2025 –
Synopsys recently expanded its EDA portfolio, highlighting new capabilities in its Synopsys.ai Copilot GenAI technology and extended integration with Ansys simulation tools. The update brings enhanced automation across verification workflows, broader support for system-level analysis, and tighter links to multiphysics design environments.
With its 2025 R2 release, Ansys is updating its tools to make simulation faster and easier to use. One of the key additions is Ansys Engineering Copilot, a built-in guide that helps engineers conduct technical research without leaving the design window. The release also brings performance gains across several engineering solvers, ranging from mechanical to electrical. Mechanical sees faster thermal simulations, while meshing handles larger and more complex electronics.
HFSS, Ansys' 3D high-frequency structure simulation software, improves radiation and antenna analysis for wireless systems. These updates are especially important for areas like 5G, radar, and satellites, where speed and accuracy directly affect design cycle time. Using Ansys, Synopsys is also focusing more on workflow improvements. R2 expands Python support through PyAnsys, giving users more options to script and customize their work. Synopsys also claims that its cloud computing features make it easier to run big jobs when local resources are limited.
These updates are meant to cut down on repetitive steps and free up time for higher-value engineering tasks. Synopsys says the goal is to bring simulation results earlier into chip design and post-silicon validation, enabling teams to catch potential issues before they grow into bigger problems later in the flow.
AgentEngineer Provides Agents for Verification and Design Tasks
Synopsys is also expanding its AI roadmap with AgentEngineer, a framework designed to bring agent-based automation into chip development. Rather than focusing on isolated tools, AgentEngineer aims to provide coordinated digital “agents” that assist engineers across design, verification, and implementation tasks. Synopsys outlined a lengthy roadmap for agentic AI, from basic task automation toward higher levels of autonomy where multiple agents can optimize flows.
Early demonstrations, such as those shown at DAC 2025 in partnership with Microsoft, highlighted how AgentEngineer could accelerate routine steps like testbench creation and design analysis while keeping engineers in control of final decisions. By positioning AgentEngineer as a layer on top of its existing Synopsys.ai portfolio, the company may be signaling its long-term goal to shift AI from experimental to core design infrastructure. Synopsys says AgentEngineer can help customers reduce iteration cycles and receive faster feedback across the flow.
The technology can automate setup, documentation, and data handoffs to cut down on engineering overhead while improving consistency between tools. The company also notes that teams working on advanced process nodes or multi-die systems may gain earlier visibility into design bottlenecks, helping them address timing, power, or verification issues before they escalate. In the long run, Synopsys positions AgentEngineer as a way to scale engineering productivity without scaling team size, an increasingly important goal as designs grow larger and schedules grow tighter.