MATLAB EXPO 2026 India Highlights Agentic AI and Digital Engineering Across Development Workflows
Bengaluru, Karnataka : MathWorks, the leading developer of mathematical computing software for designing engineered systems, concluded MATLAB EXPO 2026 today in Bengaluru. The one-day event brought together more than 1,300 engineers, scientists, academic researchers, and industry leaders to explore how generative AI, engineering copilots, agentic AI, and Model-Based Design workflows are reshaping modern engineering and product development.
The conference focused on practical adoption of AI-assisted design and simulation across multiple engineering domains. Sessions covered topics including AI copilots integrated into engineering workflows, agentic automation, virtual vehicle development, automated driving, drones and maritime systems, electrification, and wireless and radar technologies. Presentations emphasized maintaining validation, traceability, and engineering rigor while accelerating development cycles.
MATLAB EXPO 2026 Highlights
Engineering leaders, experts, and researchers from organizations such as Boeing, Mercedes Benz Research and Development India, Tata Consultancy Services, Indian Institute of Science and NXP Semiconductors shared real-world case studies addressing engineering challenges across industries including automotive, aerospace and defence, industrial automation, communications, consumer electronics, semiconductors, and medical devices. Attendees also explored live technology demonstrations illustrating how MATLAB® and Simulink® are used to support AI-assisted development, digital twins, embedded AI, and certification-ready workflows focused on production-scale deployment rather than experimentation.
“This year’s MATLAB EXPO reflected growing industry interest in applying GenAI, copilots and agentic AI to engineering workflows in ways that improve productivity while preserving validation, traceability, and safety,” said Sunil Motwani, Country Manager – Sales and Service – MathWorks India. “The discussions showed that organisations are moving beyond experimentation and are beginning to evaluate where these approaches can deliver value in real engineering environments.”
Three keynote sessions were featured at MATLAB EXPO 2026.
Generative AI leaders at MathWorks Seth Deland and Avinash Nehemiah discussed how generative and agentic AI capabilities in MATLAB and Simulink are supporting engineering teams accelerate design processes, improve simulation-led decision-making, and move efficiently from concept to deployable systems.
Savyasachi Srinivas, Vice President of Global Engineering and Technology Centers at Collins Aerospace, described how digital engineering and AI-enabled knowledge systems are being used to move products from concept to certification, including the adoption of digital twins to create shared operational views across teams, and emerging AI-enabled applications in cockpit and cabin environments.
A panel of industry and academic leaders from Tata Consultancy Services, HSBC, Boeing, Mercedes Benz Research and Development (India) and the Indian Institute of Science examined how AI copilots and agents reshape engineering workflows and how teams are validating AI-assisted outputs in real-world systems. The discussion addressed verification, governance, human oversight, and the evolving role of engineers in supervising increasingly automated workflows.
The conference featured additional showcases, including Raftar Formula Racing team from IIT Madras presenting their competition-winning race car, and a dedicated Unmanned Aerial Vehicle (UAV) technology pavilion highlighting drone and eVTOL (electric Vertical Take-Off and Landing) platforms developed by MathWorks partner Speedgoat and startups Zmotion Autonomous Systems and Reude Technologies using MATLAB and Simulink.
The technology demonstrations reinforced a consistent theme across MATLAB EXPO 2026: AI copilots and agentic automation are are helping engineering teams move from experimentation to execution. From digital twins to embedded AI and certification-ready systems the sessions and demonstrations emphasized the use of trusted, production-scale AI that accelerates design, verification, and deployment while keeping engineers actively involved in decision-making and oversight.
