AI India Summit 2026: Sona Comstar Integrating AI, Robotics and Electronics Into Mobility

Sona Comstar has outlined its strategy to integrate artificial intelligence (AI), robotics, and advanced electronics to build a globally competitive mobility technology enterprise. At the AI India summit 2026, the company revealed that it is integrating AI, data analytics, and robotics into manufacturing operations and next-generation mobility technologies. 

The company has implemented AI-enabled computer vision systems for automated inspection and uses predictive analytics to support process optimisation. Advanced robotics and autonomous material-handling systems are being deployed to enhance precision, productivity, and workplace safety across its facilities.

Through its global technology platforms, including radar and sensing technologies, Sona Comstar is developing AI-driven mobility solutions that support advanced driver assistance systems (ADAS) and autonomous driving. The company is also evaluating precision drivetrain and motion-control applications for autonomous mobile robots (AMRs) and next-generation robotics platforms.

AI Becoming Core to Automotive Operations

Speaking during a panel discussion on “India Building AI Solutions for the World,” Priya Kapur, Non-Executive Director at Sona Comstar, emphasized the rapid shift from pilot AI initiatives to mission-critical deployments across the global automotive value chain. 

Kapur noted that leading automotive manufacturers are embedding AI across the entire lifecycle of a vehicle — from design and manufacturing to supply chain optimization, predictive maintenance, quality assurance, and sustainability monitoring. She went on to add that the differentiator among global leaders is not experimentation but the ability to deploy AI reliably at scale across geographies while ensuring data integrity, cybersecurity, and safety. 

Also READ: AI India Summit 2026: First Semiconductor Production Nears Rollout

She stressed that as AI becomes central to operations, governance must move to the board level. This shift enables organizations to align AI adoption with long-term strategy, oversee risk and ethics, and manage workforce transformation in an increasingly automated environment. 

Kapur highlighted significant opportunities for Indian AI startups to integrate into multinational automotive ecosystems. She emphasized that success will depend on building globally compliant, robust solutions and collaborating early with established industry players to accelerate deployment. This collaborative model, she noted, can help startups scale faster while enabling global companies to tap into India’s growing AI innovation ecosystem.