India’s digital economy is at an inflection point. With artificial intelligence rapidly becoming the backbone of innovation across industries, the demand for scalable AI infrastructure has never been greater. Yet, many enterprises in India face a familiar challenge—how to deploy AI at scale without being locked into expensive global hyperscalers or struggling with fragmented tools. This is the gap Neysa, an AI-native cloud platform, is setting out to close.
Founded in 2023 by industry veterans Sharad Sanghi (formerly Global CEO of NTT Ltd.) and Anindya Das (a technologist with deep experience in cloud and data), Neysa is one of India’s boldest bets on AI infrastructure. Within just a year of its launch, the company secured $50 million across two funding rounds, a clear sign of investor conviction in India’s ability to build and own the future of AI infra.
At its core, Neysa provides GPU-powered cloud services, MLOps pipelines, and AI security and monitoring tools that help enterprises adopt Generative AI at scale. Unlike traditional cloud platforms that treat AI as just another workload, Neysa has been architected from the ground up to be AI-native. This means it reduces the heavy lifting associated with model training, simplifies deployment, and embeds governance into every layer of the stack.
One of Neysa’s most compelling value propositions is cost-efficiency. Training and fine-tuning large language models (LLMs) or running high-performance inference tasks typically require expensive GPU clusters from global hyperscalers like AWS, Azure, or Google Cloud. Neysa, however, leverages localized infrastructure and optimized pipelines, bringing down costs significantly while ensuring data sovereignty—a major concern for enterprises in BFSI, healthcare, and government sectors.
Equally important is trust and compliance. As AI adoption accelerates, questions around bias, hallucinations, and data misuse are becoming boardroom issues. Neysa addresses this by offering robust monitoring and governance tools, enabling enterprises to track model behavior, audit decisions, and ensure regulatory alignment. This focus on security and transparency is what positions Neysa not just as an infra provider but as a partner in responsible AI adoption.
The timing could not be better. India’s BFSI industry is racing to roll out AI-powered chatbots, fraud detection systems, and hyper-personalized financial products. Healthcare providers are exploring GenAI for diagnostics, patient engagement, and research. Retailers are experimenting with AI-driven recommendations and supply chain optimization. Each of these use cases requires scalable, affordable, and secure AI infrastructure—and Neysa is stepping up as a homegrown alternative.
Looking ahead, the company envisions building a full-stack AI-native ecosystem—from compute and storage to MLOps and observability. This ambition goes beyond simply being an infrastructure layer; it’s about creating the rails on which India’s AI-first enterprises can run. If successful, Neysa could become to AI infrastructure what Infosys and TCS became to IT services—a symbol of India’s capability to not just consume technology, but to build and export it.
In just over a year, Neysa has gone from a bold idea to a well-funded, fast-scaling platform. With its leadership pedigree, strong financial backing, and clear market need, Neysa stands out as a pioneer in India’s AI-native cloud journey—and one of the most important startups to watch in the country’s emerging AI economy.
