Keysight Integrated Agentic AI Into Design Software

The new ADS 2027 software enables AI agents to assist with complex radio frequency engineering design tasks.

Updated on Oct. 6, 2026 in Artificial Intelligence

Isometric editorial illustration of matte-finished rectangular waveguide components in an orderly grid, representing technical radio frequency engineering design. — Keysight Technologies launched ADS 2027 software featuring agentic AI integration, designed to assist engineers with complex radio frequency design workflows. AI Illustration. Upload story photo >

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Do you trust AI agents to accurately automate complex technical tasks in your professional work?

Keysight Technologies has released ADS 2027 and RF Circuit Simulation Professional, featuring new agentic AI integration. The software utilizes Model Context Protocol servers to connect AI agents directly to radio frequency design workflows.

Why it matters

Radio frequency engineering requires high levels of specialist expertise and non-deterministic schematics, making it difficult to automate. This integration helps reduce the variability and statistical errors often introduced when AI models attempt to generate engineering solutions.

The ADS 2027 suite includes macro recording and Python script generation features to support agentic AI. Model Context Protocol servers convert graphical designs into code that AI agents can interpret and validate using Keysight simulation tools.

The players

Keysight Technologies

An American company that manufactures electronics test and measurement equipment and software.

The details

Engineers can now issue natural language requests to direct AI agents within the software. These agents learn from recorded engineering workflows and generate scripts to streamline the design process.

October 6, 2026: Keysight Technologies released ADS 2027 and RF Circuit Simulation Professional.
2028: More than 60 percent of organizations expect to deploy AI agents.

The Tech Race

The implementation of the Model Context Protocol marks a shift toward standardized interoperability between specialized engineering software and autonomous AI agents. This development represents a move away from siloed legacy design systems toward an interconnected ecosystem where AI models act as active participants in the R&D process.

Engineers using ADS 2027 can automate repetitive coding tasks through natural language prompts, potentially reducing the time spent on manual script generation. The software's validation tools ensure that AI-generated outputs remain within acceptable simulation parameters for radio frequency hardware.

The takeaway

The integration of agentic AI into specialized design software highlights a broader trend of moving from simple predictive models to active, task-oriented AI agents in technical fields. Professionals looking to adopt these tools should prioritize documenting their existing manual workflows to create effective training sets for their AI agents.