Neysa Datalabs raises $1.2bn in Blackstone-led round

By Vriti Gothi

AI cloud infrastructure startup Neysa Datalabs has secured a $600 million equity investment led by Blackstone, with plans to raise an additional $600 million in debt, taking the total funding to $1.2 billion at a $1.4 billion enterprise valuation.

If completed as planned, the transaction would mark the largest capital raise by an AI-native startup in India to date.

Founded in 2023 by Sharad Sanghi and Anindya Das, Neysa provides GPU-based cloud and AI infrastructure that enables enterprises to train, customise and deploy artificial intelligence workloads. Its customers span sectors including financial services, healthcare, public services, and technology.

The fresh capital will be deployed to build large-scale domestic compute capacity, with plans to deploy more than 20,000 graphics processing units (GPUs) across India. The company positions its offering as a sovereign AI infrastructure layer aimed at reducing dependence on overseas cloud capacity while meeting enterprise requirements around performance and data assurance.

“India’s AI ambition requires production-grade infrastructure built and operated at scale. Neysa is focused on delivering the execution layer of sovereign compute and enabling AI research and adoption in alignment with the goals of the IndiaAI Mission,” said co-founder and CEO Sanghi.

The investment also reflects broader institutional interest in AI infrastructure as demand for compute accelerates. Blackstone has been expanding its exposure to digital infrastructure globally and has earmarked approximately $6 billion for data center development in the state of Maharashtra. The firm’s portfolio includes leading AI ecosystem players such as OpenAI and Anthropic, potentially providing Neysa with strategic ecosystem access.

The funding announcement coincides with the launch of the AI Impact Summit in New Delhi, a large-scale gathering focused on AI development across the Global South. The event comes amid accelerating momentum in India’s AI sector, which now includes more than 150 native AI startups that have collectively raised over $1.5 billion since 2020. The domestic AI market is projected to exceed $17 billion by 2030.

For the financial services sector, the expansion of domestic AI compute capacity is particularly significant. Banks, insurers, and FinTech firms increasingly rely on high-performance infrastructure for risk modeling, fraud detection, customer analytics, and generative AI applications. Greater local availability of enterprise-grade GPU infrastructure could help institutions address latency, data residency, and regulatory requirements while scaling AI adoption.

The transaction signals a shift toward infrastructure-led investment as India’s AI ecosystem matures, with capital moving beyond application-layer innovation to the underlying compute and cloud capacity required to support enterprise-scale deployment.