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AI Infrastructure Platform Built for the Future
Neysa: Building the Infrastructure Behind India’s AI Ambition
The AI boom created a new problem that was easy to overlook.
Companies could build impressive AI models, but training and running those models required something much more fundamental: massive amounts of computing power, specialised GPUs, reliable infrastructure and secure data environments.
In India, Sharad Sanghi saw this problem from a different angle.
He had already spent decades building internet and data-centre infrastructure through Netmagic, a company he founded before it was acquired by NTT. In 2023, Sanghi returned to the infrastructure business—this time with a new challenge in mind: AI. He joined forces with Anindya Das, a former Netmagic and NTT colleague, to build Neysa. B.V. Jagadeesh became chairman.
The idea was simple: AI needed infrastructure built specifically for AI.
Neysa was created around a different approach to cloud computing.
Instead of treating AI as just another workload running on traditional cloud infrastructure, the company set out to build an AI Acceleration Cloud—combining GPU infrastructure, orchestration, security, observability and AI software into one ecosystem.
Its flagship platform, Neysa Velocis, went live in July 2024, providing on-demand access to high-performance computing infrastructure.
For businesses, that means they can use GPU infrastructure for activities such as:
AI model training
Fine-tuning
Inference
Machine-learning workloads
MLOps and deployment
High-performance computing
The larger goal is to make complicated AI infrastructure easier to deploy and manage.
AI infrastructure is not only about having powerful GPUs.
For banks, healthcare companies, government organisations and other businesses handling sensitive information, where the data lives and how it is controlled can matter just as much as computing performance.
Neysa positioned its platform around this requirement, offering infrastructure designed for organisations that want to run AI workloads while keeping greater control over their data.
Its platform brings together compute, orchestration, observability and security rather than forcing customers to assemble every layer themselves. Neysa describes this as a full-stack AI platform built for training, fine-tuning and inference.
Neysa Velocis
The company's core AI cloud platform for GPU computing and AI workloads.
Orchestration & MLOps
Tools for managing workloads and moving AI projects from experimentation toward production.
Observability
Infrastructure monitoring designed to help teams understand how their compute resources are performing.
Security
Infrastructure and security capabilities designed specifically around AI workloads and sensitive data.
Neysa's early funding arrived quickly.
In April 2024, the company raised $20 million in seed funding, led by Matrix Partners India, Nexus Venture Partners and NTTVC. The capital was intended to expand infrastructure and accelerate R&D.
Only months later, in October 2024, Neysa announced another $30 million Series A, co-led by NTTVC, Z47 and Nexus Venture Partners. At that point, its Velocis platform was already commercially available and the company had begun securing customers across sectors including AI-native businesses, media, software and the public sector.
The message from the market was becoming clearer:
AI infrastructure itself was becoming a major business opportunity.
Then Came the Billion-Dollar Bet
The biggest chapter arrived in February 2026.
Blackstone and co-investors announced a transaction that would enable up to $1.2 billion of capital for Neysa.
The structure included up to $600 million in equity, with Neysa intending to secure another $600 million in debt financing, subject to documentation. The funding was designed to support a dramatic expansion of AI computing infrastructure in India.
One number immediately stood out:
Neysa said the financing would support its planned deployment of more than 20,000 GPUs in India.
For a company founded only a few years earlier, that represented a remarkable shift—from building an AI cloud platform to planning infrastructure at national scale.
TechCrunch reported that Neysa had around 1,200 GPUs live at the time of the February 2026 announcement, with the larger 20,000+ GPU target representing its planned expansion.
What makes Neysa's story interesting is that the company isn't simply selling access to graphics processors.
Its broader ambition is to create an environment where organisations can build, train, secure, deploy and operate AI systems without having to construct the entire infrastructure stack themselves.
The company is also building programmes for AI startups.
Its AI Velocity Program offers eligible startups infrastructure support, technical assistance and discounted cloud consumption through a structured 21-month programme.
That addresses another problem in the AI ecosystem:
A startup may have a great model—but without affordable compute, scaling it can become extremely difficult.
The Bigger Story
Neysa's journey reflects a broader change happening in technology.
The first phase of the internet was about connecting people.
The cloud era was about making computing available on demand.
The AI era is creating another infrastructure race—one centred around GPUs, data, power, networking, storage and specialised software.
Neysa is attempting to position itself inside that layer.
Its founders had already experienced the infrastructure business once with Netmagic. With Neysa, they are applying that experience to a world where the most valuable infrastructure may increasingly be the infrastructure that allows machines to learn.
Founded: 2023
Headquarters: Mumbai
Founders: Sharad Sanghi & Anindya Das
Chairman: B.V. Jagadeesh
Seed funding: $20M
Series A: $30M
2026 financing: Up to $1.2B
Planned GPU capacity: 20,000+
Flagship platform: Neysa Velocis
TAKEAWAY
Neysa's story is not simply about building another cloud company. It is about building the physical and digital infrastructure that AI companies need to operate at scale—and doing much of that infrastructure from India.
From Netmagic's data centres to Neysa's AI clouds, Sharad Sanghi's second act is built around a similar idea:
Before you build the future, someone has to build the infrastructure underneath it.
