Neysa and the Rise of AI Infrastructure in India

Mumbai-based artificial intelligence startup Neysa has emerged as one of the most prominent companies in India’s fast-growing AI infrastructure sector. Founded in 2023 by technology entrepreneur Sharad Sanghi, Neysa is building a specialized AI cloud platform designed to help enterprises train, deploy, and scale artificial intelligence applications. The startup operates in the rapidly expanding AI infrastructure layer, a segment that supports the computing power required for generative AI models and machine-learning systems. Company Overview Neysa positions itself as an AI acceleration cloud platform, offering GPU-powered infrastructure, software tools, and services that allow organizations to develop AI systems without managing complex hardware environments. The platform integrates several core products, including Velocis (AI acceleration cloud), Overwatch (observability and monitoring), and Aegis (security and governance for AI workloads). These tools help enterprises manage the full lifecycle of AI—from training models to deploying them in production environments. The company’s technology stack focuses on GPU-as-a-Service (GPUaaS), allowing businesses to rent high-performance GPU computing capacity on demand. This infrastructure is essential for training large language models, generative AI systems, and other data-intensive machine-learning applications. Funding and Valuation Neysa has attracted significant investor attention since its launch. The company initially raised $20 million in seed funding in 2024, followed by a $30 million Series A round, bringing early funding to approximately $50 million from investors such as Matrix Partners India, Nexus Venture Partners, and NTTVC. The startup’s most notable milestone came in 2026 when global investment firm Blackstone led a major funding round that could reach $1.2 billion. The deal includes $600 million in equity investment and plans for another $600 million in debt financing, placing Neysa at an estimated $1.4 billion enterprise valuation. The capital is expected to be used to expand Neysa’s AI computing infrastructure across India. One of the key goals of the investment is to deploy over 20,000 GPUs in data centers to support large-scale AI workloads for enterprises and startups. Business Model Neysa operates on a cloud-based AI infrastructure model, generating revenue from enterprises that use its computing resources and AI platforms. The company’s primary revenue streams include: GPU-as-a-Service (GPUaaS) – Enterprises rent GPU clusters for AI model training and high-performance computing tasks. AI Platform-as-a-Service (AI PaaS) – Businesses use Neysa’s platform to build, deploy, and manage machine-learning applications. Inference-as-a-Service – Companies run AI models in production using Neysa’s cloud infrastructure. Enterprise AI consulting and deployment services – Organizations receive assistance integrating AI into existing workflows. This model positions Neysa as a specialized AI cloud provider, competing with global hyperscale cloud companies such as AWS, Microsoft Azure, and Google Cloud, but focusing specifically on AI workloads. Strategic Importance The emergence of Neysa highlights a key shift in India’s technology ecosystem. As generative AI adoption increases, companies require access to high-performance computing resources. However, India currently depends heavily on global cloud providers for AI infrastructure. Neysa aims to build domestic AI compute capacity, which could help reduce reliance on international platforms while supporting local innovation. Outlook Neysa’s rapid fundraising and infrastructure expansion indicate strong investor confidence in the AI infrastructure sector. If the company successfully deploys large-scale GPU clusters and attracts enterprise customers, it could become a central platform for AI development in India. With AI workloads expected to grow significantly in the coming decade, startups operating in the infrastructure layer—such as Neysa—may play a critical role in enabling the next generation of AI innovation.