MathWorks, a global player in mathematical computing software for engineered systems, successfully concluded MATLAB EXPO 2026 India in Bengaluru. The one-day technology conference brought together more than 1,300 engineers, scientists, researchers, and industry leaders to explore how generative AI, engineering copilots, agentic AI, and Model-Based Design are transforming modern engineering workflows and product development. The event focused on the practical implementation of AI-assisted engineering, highlighting how industries are moving beyond experimentation towards production-scale deployment.

AI-Powered Engineering Takes Centre Stage

At the conference, experts discussed how AI copilots, agentic automation, and digital engineering platforms are accelerating innovation while maintaining engineering rigor, validation, traceability, and safety standards.

Technical sessions covered a wide range of emerging technologies, including:

*AI-assisted engineering workflows

*Agentic AI and automation

*Virtual vehicle development

*Automated driving technologies

*Drone and maritime systems

*Electrification and EV technologies

*Wireless communication and radar systems

The discussions demonstrated how organisations are integrating AI-driven tools into real-world engineering environments to shorten development cycles and improve decision-making.

Industry Leaders Shared Real-World Engineering Applications

Engineering experts and researchers from organisations such as Boeing, Mercedes-Benz Research and Development India, Tata Consultancy Services, Indian Institute of Science, and NXP Semiconductors presented case studies addressing complex engineering challenges across sectors including automotive, aerospace and defence, industrial automation, communications, consumer electronics, semiconductors and medical devices. Attendees also experienced live demonstrations showcasing how MATLAB® and Simulink® support digital twins, embedded AI, AI-assisted development, and certification-ready engineering workflows.

Focus on Trusted and Production-Scale AI

Sunil Motwani, Country Manager, Sales and Service at MathWorks India, said, “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. Organisations are now moving beyond experimentation and evaluating how these technologies can deliver measurable value in real engineering environments.”

Keynote Sessions Highlighted AI-Led Engineering Transformation

One of the major highlights of the event was a series of keynote sessions led by global technology and engineering experts. Generative AI leaders Seth Deland and Avinash Nehemiah discussed how AI capabilities within MATLAB and Simulink are helping engineering teams accelerate product design, improve simulation-driven decisions, and transition more efficiently from concept to deployable systems.

Savyasachi Srinivas from Collins Aerospace explained how digital engineering and AI-enabled knowledge systems are streamlining the journey from concept to certification. He also highlighted the growing use of digital twins and AI applications in cockpit and cabin systems.

In addition, a panel discussion featuring leaders from Tata Consultancy Services, HSBC, Boeing, Mercedes-Benz Research and Development India, and Indian Institute of Science examined how AI copilots and autonomous agents are reshaping engineering workflows. The panel also discussed critical topics such as AI verification, governance, human oversight, and the evolving role of engineers in supervising increasingly automated systems.

AI Copilots Driving the Future of Engineering

A key takeaway from MATLAB EXPO 2026 India was the growing shift from AI experimentation to practical deployment. As per the press release, across sessions and demonstrations, industry leaders highlighted how AI copilots, digital twins, embedded AI, and agentic automation are enabling engineering teams to accelerate design, verification, and deployment while ensuring engineers remain actively involved in oversight and decision-making processes.