New Delhi, February 16, 2026: As a part of a outstanding panel of world leaders for a dialogue on ‘India Development AI answers for the International’ on the Primary Summit of India-AI Affect Summit 2026, Mrs Priya Kapur, Non-Government Director at Sona Comstar and Managing Director of Aureus Funding shared her perspectives on AI adoption, Trade-led collaboration and alternatives for Indian start-ups.
Highlighting the fast evolution of AI throughout world production and mobility worth chains, Mrs. Kapur famous that main car avid gamers have moved decisively from pilot tasks to large-scale, mission-critical AI deployment. AI is now embedded throughout design, production, provide chains, predictive repairs, high quality assurance, and sustainability tracking.
She emphasised that what differentiates world leaders as of late isn’t the newness of AI use, however their talent to deploy AI reliably at scale throughout geographies and regulatory environments, with a robust center of attention on knowledge integrity, cybersecurity, protection, and seamless integration with bodily programs. As AI turns into core to operations, governance should shift to the board stage, making sure alignment with long-term technique, chance oversight, moral deployment, and body of workers transformation.

Mrs. Kapur additionally underlined the rising alternative for Indian AI startups to combine into multinational car ecosystems. Good fortune, she stated, relies on development globally compliant, tough answers and taking part early with huge business avid gamers to boost up deployment.
Speaking about Sona Comstar’s foray into AI and Robotics, she highlighted that the corporate is actively integrating AI, knowledge analytics, and robotics into each production operations and next-generation mobility applied sciences. The corporate has deployed AI-enabled pc imaginative and prescient programs for computerized inspection and predictive analytics for procedure optimization. The Complicated robotics and self reliant material-handling programs are improving precision, productiveness, and protection throughout amenities of the corporate.
Thru its world era platforms, together with radar and sensing applied sciences, Sona Comstar is advancing AI-driven mobility answers that enhance ADAS and self reliant riding programs. The corporate could also be exploring packages of precision drivetrain and motion-control applied sciences in rising spaces similar to self reliant cellular robots (AMRs) and next-generation robotics platforms.
Those projects replicate Sona Comstar’s broader technique of mixing AI, electronics, precision engineering, and robotics to construct globally aggressive, export-ready era answers.
Mrs. Kapur concluded that India has a singular alternative to place itself as an international hub for AI answers which can be scalable, dependable, and affect pushed. Reaching this may occasionally require shut collaboration between startups, business, academia, monetary establishments, and policymakers. When AI innovation is anchored in real-world deployment, guided by means of robust governance, and supported by means of world collaboration, India won’t best undertake AI , it’ll construct AI answers that the sector trusts and deploys at scale, she stated in her final remarks.
About Priya Kapur
Priya Kapur is Non-Government Director at Sona Comstar, an international chief in car era, the place she additionally chairs the CSR Committee. She is Managing Director of Aureus Funding Non-public Restricted, the Kapur Circle of relatives Place of business, riding long-term funding technique with a focal point on mobility, sustainability, and early-stage ventures. A former funding banker with Credit score Suisse First Boston in London, she has additionally pioneered ventures in car retail and comfort e-commerce in India. Priya serves at the ACMA Government Committee 2025–26 and is a member of YPO Gold-Delhi. Representing a brand new technology of ladies leaders, Priya blends intuition with empathy, sporting ahead a legacy of objective with a transparent dedication to shaping what comes subsequent.
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