Why Blackstone’s $1.2 billion bet on Neysa matters for India’s AI future

Subscribe to enjoy similar stories. At the India AI Summit, a less discussed but foundational piece of the AI stack broke into the headlines. Mumbai-based AI infrastructure startup Neysa announced a $1.2 billion capital raise led by alternative asset manager Blackstone, among the largest funding rounds in the country’s AI infrastructure sector.

The deal comprises about $600 million in primary equity from Blackstone and co-investors, with plans to add up to another $600 million in debt financing for expansion. Unlike consumer-facing AI tools, Neysa occupies the layer underneath—the compute infrastructure and essentially the Graphics Processing Unit (GPU)-powered data centres that train and run AI models. The company plans to deploy 20,000 GPUs across India as part of a structural response to the country's broader push for sovereign AI compute that is local, performant, and policy-aligned.

In an interview, Sharad Sanghi, chief executive of Neysa, explains why this layer matters, where the startup fits in, how India’s policy environment is shaping demand, and what the future could look like. Edited excerpts: At its core, Neysa provides the infrastructure layer that powers modern AI. Think of it as the engine room.

AI models, whether they are performing compliance automation or fraud detection, require significant compute to train, fine-tune, and operate. That computing resides in data centres built with hardware called GPUs. We provide GPU compute, but also a platform layer where enterprises can run inference, build models with notebooks, use orchestration tools, and integrate third-party applications, essentially AI infrastructure and platform as a service.