Google has unveiled the 2026 cohort of its Google for Startups Accelerator: India, selecting 20 AI-first startups from nearly 2,500 applications as the programme marks its 10th anniversary in the country. The three-month accelerator will provide founders with access to Google's AI stack, technical mentorship, and go-to-market support to help them scale their products.
"India's startup ecosystem is moving into a new frontier of agentic workflows and physical AI systems engineered to solve high-stakes, real-world challenges," Preeti Lobana, Vice President and Country Manager, Google India, said in a statement.
The latest cohort focuses on agentic AI, multimodal systems and physical AI, with startups spanning legal technology, healthcare, climate, developer tools, manufacturing, finance, cybersecurity, and voice AI.
"By equipping these pioneering founders with Google's full AI stack and deep technical mentorship, we are not only accelerating their path to global enterprise scale but also cementing the sovereign capabilities required to advance the India AI Mission and build a resilient, inclusive digital economy," she added.
Among the companies selected are Adalat AI, which is building an end-to-end justice technology stack to automate clerical processes in Indian courts; Aurassure, which combines AI with modular sensors to deliver hyperlocal climate intelligence; Aikenist, whose QuickSuite platform uses AI to optimise radiology workflows; and Jidoka, which develops AI-powered computer vision systems for automated inspection in manufacturing.
The cohort strongly highlights developer infrastructure represented through startups including CraftifAI, H2Loop AI, CreateOS by NodeOps, Pipeshift, PotpieAI, and TartanHQ, while fintech entrants include Binocs, Dodo Payments, and OnFinanceAI. Other selected startups are Ayna, FlexifyMe, Fitsol, Proxgy, Soundverse AI, SuperBryn, and Zeron.
The programme began with an in-person bootcamp at its Bengaluru campus and will focus over the coming months on product refinement, architecture optimisation, and preparing startups for large-scale deployment
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