US alternative asset manager Blackstone has finalised a structured investment with Mumbai-based AI cloud infrastructure startup Neysa and has committed USD 50–75 million in the initial tranche while structuring the deal to potentially acquire a controlling stake once the company meets predefined business milestones, according to media reports.
The transaction values Neysa at approximately USD 300 million and, importantly, highlights Blackstone’s strategic expansion into AI-centric cloud and data centre technologies, as demand for compute-intensive infrastructure continues to surge across India.
Unlike a traditional venture capital round, the parties have designed the deal as a milestone-linked and structured investment; consequently, the framework aligns Blackstone’s capital deployment with Neysa’s growth roadmap and the inherently capital-intensive requirements of GPU-driven cloud services.
Founded in 2023, Sharad Sanghi, along with co-founder Anindya Das, launched Neysa to deliver GPU-accelerated cloud computing and AI infrastructure solutions to enterprises, startups, and government clients. Before this transaction, the company raised close to USD 50 million across two funding rounds, with backing from investors including Z47 (formerly Matrix Partners India), Nexus Venture Partners, Blume Ventures, and NTT.
Moreover, the structured investment stands out as one of the largest funding commitments to an Indian AI cloud company to date and clearly signals rising interest from global private equity firms in India’s technology infrastructure layer. In parallel, Blackstone already holds investments in Indian data centre platforms and manages nearly USD 50 billion in assets in the country while actively planning to deepen its exposure to technology and real estate assets.
At the same time, recent months have seen other global investors, including Lightspeed Venture Partners and SoftBank, linked to potential funding discussions with Neysa, thereby underscoring intensifying competition for ownership in AI infrastructure businesses.
Meanwhile, Neysa’s leadership notes that enterprises are rapidly moving from AI experimentation toward full-scale deployment; as a result, demand for dependable and scalable compute capacity continues to rise and is expected to accelerate further through 2026.
