MathWorks Delivers Reliable AI for Embedded System Development in MATLAB and Simulink Release 2026a
MathWorks announced MATLAB and Simulink R2026a, introducing new AI capabilities like Simulink Copilot and Polyspace Copilot to boost engineering productivity and reliability.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 20:00
- 🔍 Collected: April 28, 2026 at 11:31
- 🤖 AI Analyzed: April 28, 2026 at 13:02 (1h 30m after Collected)
NATICK, Massachusetts, USA – April 27, 2026 – MathWorks today announced Release 2026a (R2026a) of the MATLAB® and Simulink® product families, introducing new AI capabilities for embedded system development. R2026a introduces Simulink® Copilot to assist in model-based design and Polyspace® Copilot to improve code analysis of embedded software. This enables engineering teams to increase productivity while maintaining design rigor, traceability, and reproducibility. The release also includes various updates to help engineers design faster, resolve issues earlier, and move more efficiently through the process from development to verification and production.
MathWorks is advancing AI for engineering in two complementary ways. One is through in-product Copilots, such as MATLAB Copilot, Simulink Copilot, and Polyspace Copilot, which assist engineering tasks within the environment teams already use. The other is through MATLAB MCP Core Server and MATLAB Agentic Toolkit, which integrate MATLAB and Simulink capabilities into agentic workflows. For engineering executives and managers, the value is clear: teams can understand designs faster, address software issues earlier, and apply development and verification workflows more consistently.
Avinash Nehemiah, head of product management and marketing for Design Automation development at MathWorks, stated: "Engineering teams can now take advantage of the capabilities made possible by generative AI. At the same time, leaders need to be confident that these will lead to concrete benefits for both engineering and business. In engineering design and software verification, productivity gains must not come at the expense of rigor, traceability, and reliability. MathWorks is committed to providing evidence-based AI tools that help teams work faster while maintaining the discipline and reliability required for the development of complex engineering systems."
Based on user models, team-defined processes, and MathWorks documentation, Simulink Copilot provides guidance tailored to the engineering context teams are already using. The product generates model descriptions, answers questions about model behavior, and helps identify relevant blocks and subsystems within a model. By isolating issues, suggesting solutions, and guiding next steps, Copilot helps engineers progress design work more quickly. It can also be used to perform standardization tasks to make development and verification practices more consistent.
R2026a introduces Polyspace Copilot and Polyspace as You Code. Polyspace Copilot provides guidance based on Polyspace analysis results, helping engineers interpret static analysis results, understand issues, and resolve them more efficiently. Polyspace as You Code allows users to check C/C++ coding rules and identify coding defects and vulnerabilities as they write code. This includes code generated by AI-assisted tools. These new tools enable teams to identify issues early and enhance software quality throughout the development lifecycle.
R2026a also includes three enhancements across the Polyspace product family: a new Polyspace desktop application that integrates configuration and results management, an extension of Polyspace Bug Finder with custom checkers and coding conventions, and a software sanitization feature for Polyspace Test used in dynamic analysis of runtime errors. These enhancements make the software quality activity workflow across development, testing, and verification more...
MathWorks is advancing AI for engineering in two complementary ways. One is through in-product Copilots, such as MATLAB Copilot, Simulink Copilot, and Polyspace Copilot, which assist engineering tasks within the environment teams already use. The other is through MATLAB MCP Core Server and MATLAB Agentic Toolkit, which integrate MATLAB and Simulink capabilities into agentic workflows. For engineering executives and managers, the value is clear: teams can understand designs faster, address software issues earlier, and apply development and verification workflows more consistently.
Avinash Nehemiah, head of product management and marketing for Design Automation development at MathWorks, stated: "Engineering teams can now take advantage of the capabilities made possible by generative AI. At the same time, leaders need to be confident that these will lead to concrete benefits for both engineering and business. In engineering design and software verification, productivity gains must not come at the expense of rigor, traceability, and reliability. MathWorks is committed to providing evidence-based AI tools that help teams work faster while maintaining the discipline and reliability required for the development of complex engineering systems."
Based on user models, team-defined processes, and MathWorks documentation, Simulink Copilot provides guidance tailored to the engineering context teams are already using. The product generates model descriptions, answers questions about model behavior, and helps identify relevant blocks and subsystems within a model. By isolating issues, suggesting solutions, and guiding next steps, Copilot helps engineers progress design work more quickly. It can also be used to perform standardization tasks to make development and verification practices more consistent.
R2026a introduces Polyspace Copilot and Polyspace as You Code. Polyspace Copilot provides guidance based on Polyspace analysis results, helping engineers interpret static analysis results, understand issues, and resolve them more efficiently. Polyspace as You Code allows users to check C/C++ coding rules and identify coding defects and vulnerabilities as they write code. This includes code generated by AI-assisted tools. These new tools enable teams to identify issues early and enhance software quality throughout the development lifecycle.
R2026a also includes three enhancements across the Polyspace product family: a new Polyspace desktop application that integrates configuration and results management, an extension of Polyspace Bug Finder with custom checkers and coding conventions, and a software sanitization feature for Polyspace Test used in dynamic analysis of runtime errors. These enhancements make the software quality activity workflow across development, testing, and verification more...