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    HomeBusinessBlackstone Backs Indian AI Startup Neysa With $1.2 Billion Capital Infusion Plan...

    Blackstone Backs Indian AI Startup Neysa With $1.2 Billion Capital Infusion Plan | Economy News

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    Blackstone invests 1.2 billion dollars in Neysa, an Indian AI cloud platform, with support from Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, and Nexus Ventures.

    Blackstone Leads Equity-Plus-Debt Structure to Back India’s AI Infrastructure Push

    Blackstone Leads Equity-Plus-Debt Structure to Back India’s AI Infrastructure Push

    US-based investment management behemoth Blackstone is set to invest $1.2 billion in Indian AI cloud company Neysa. The announcement marks a major milestone for the Indian AI mission for strengthening of AI infrastructure in the country.

    “Blackstone and co-investors have provided equity capital of up to $600 million, on the basis of which Neysa intends to secure an additional $600 million of debt financing,” as stated in the press release.

    Other equity investors in this transaction to include Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, and Nexus Ventures.

    Neysa is an Artificial Intelligence acceleration cloud platform in India delivering solutions to enterprises and government entities.

    Founded in 2023, Neysa designs and develops AI systems that are deployed and operated within India. The Company provides purpose‑built and cost-effective GPU‑based AI infrastructure that enables enterprises and institutions to train, fine‑tune, and deploy AI workloads. Its customers span across industries, including financial services, technology, healthcare, and public services.

    The funding aims to help the company scale up and deploy over 20,000 GPUs in India.

    This large funding by US-based firm to Indian firm marks a major milestone in India’s attempt to achieve a world-class AI ecosystem.

    In 2024, the Indian government launched the IndiaAI Mission, aimed at building a comprehensive, secure, and scalable AI ecosystem in India. One of the key goals of the mission was to establish GPU computing capacity.

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