NetApp has launched the 15th cohort of its flagship Excellerator startup programme, selecting five deep tech companies that span artificial intelligence, generative AI security, workflow automation and enterprise data intelligence. The announcement, made by NetApp India and reported across Indian business and technology outlets, underlines the accelerating role Indian founders and Indian engineering talent are playing in building enterprise tools to take AI into production. The five startups named to Cohort 15 are LightSprint AI, Wald.ai, Lasso Security, Cogover and QUIPU AI. They come from India, the United States and Israel, but the cohort’s composition and NetApp India’s involvement make the development material to India’s technology ecosystem. NetApp said the cohort will get a six month programme offering mentorship, engineering support, access to NetApp technology and introductions to enterprise customers to help the startups scale proofs of concept into production deployments. Why this cohort matters for India NetApp has run its Excellerator in India for several years and has increasingly used the programme as a bridge between global enterprise buyers and startups built in, or scaling from, India. The latest intake highlights three themes that matter for India’s company and startup landscape. First, enterprise AI infrastructure and tooling is now a fundraising and commercial priority for Indian founders. LightSprint AI, described by programme coverage as an AI native software engineering platform, exemplifies a crop of companies building tools to automate development workflows and accelerate software delivery using AI. Tools that reduce engineering cycle time are attractive to enterprises in India’s large services and product sectors, and they are a potential export product for global customers. Second, generative AI security and data governance are rising as commercial categories. Two cohort entrants, Wald.ai and Lasso Security, focus on protecting AI pipelines and communications, and on securing agentized and LLM driven workflows. As Indian enterprises integrate large language models and AI agents into customer service, finance, supply chain and HR workflows, companies that can provide context aware data loss prevention and runtime protection for models are becoming necessary vendors rather than niche players. Third, low code automation and knowledge intelligence remain practical enterprise entry points for startups. Cogover, a no code workflow automation platform, and QUIPU AI, a knowledge intelligence solution that prepares enterprise data for AI consumption, address the persistent problem that many business units cannot easily productize AI without data and workflow integration. NetApp’s role and the pathway to customers NetApp’s Excellerator programmes are designed to shorten the path from prototype to pilot by offering startups technical integrations, cloud credits, architecture support and pilot introductions to NetApp enterprise customers. For India based startups, that can translate into faster revenue traction with local IT departments and multinational corporations that operate Indian development centres. NetApp India’s site leadership has framed the programme as an explicit effort to highlight Indian engineering capability and to create enterprise partnerships that convert into commercial engagements. For startups in this cohort, the most immediate benefits will be architecture reviews and PoC introductions that can prove product-market fit in regulated, enterprise environments. What this means for investors and corporates Investors tracking enterprise AI in India will see the cohort as validation that the market for AI dev tooling and AI security is maturing. Corporate buyers also get a curated pipeline of startups that have been vetted by a global data infrastructure vendor, lowering procurement friction for pilot projects. For systems integrators, managed service providers and existing enterprise software vendors in India, the cohort creates partnership and acquisition opportunities as customers demand turnkey AI deployments. Risks and adoption barriers Commercial adoption will still depend on demonstrable ROI, integration effort and compliance. Many Indian enterprises remain cautious about moving sensitive workloads to third party AI services, and they will press for robust data residency, auditing and model governance. Startups that can combine engineering reliability with clear compliance hooks will have an advantage. For security focused entrants, demonstrating low false positive rates and high operational compatibility with existing SIEM and identity stacks will be critical. Why this story matters beyond the cohort NetApp’s regular accelerator activity shows a continuing flow of enterprise focused innovation into India, not just consumption of global technology. That shift is consequential for the country because it supports higher margin product companies and diversifies an ecosystem that historically leaned toward services and consumer apps. If startups from this cohort convert PoCs into paid enterprise contracts, they will contribute to a larger trend: India as a source of enterprise AI infrastructure vendors, rather than only as an engineering hub for foreign platforms. Outlook Over the next six months, the cohort’s progress will be worth watching for two signals: how many startups convert NetApp introductions into paid pilots, and whether any secure or data governance technologies from the cohort are adopted by regulated sectors such as financial services and healthcare in India. Successful pilots in such sectors would both validate the technologies and raise the profile of Indian founders building foundational enterprise AI products. NetApp’s 15th Excellerator cohort is not a single headline acquisition or fundraise, but it is a practical industry nudge. By placing engineering support and enterprise introductions behind selected startups, the programme de risks the early commercial stage for companies that are addressing some of the thorniest problems enterprises face when deploying AI. For India’s companies and startup ecosystem, that support matters at a moment when customers want secure, scalable and auditable AI in production.