Why teams trust Neysa with production AI.

From your first AI experiment through to inference at scale, you get infrastructure that holds under load, costs that stay predictable, and support that answers when something breaks.

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PLATFORM

Built from the ground up for AI.

Whether you’re training a foundation model, fine-tuning an LLM, or serving inference at scale, you get compute, orchestration, security and monitoring already wired together.

Your choice of compute.

GPU VMs, containers, Kubernetes or bare metal, on NVIDIA and AMD silicon.

Engineered for throughput.

A non-blocking fabric, high-bandwidth networking, and storage that keeps every GPU busy.

Take only what you need.

On-demand or committed, on standard tooling, so what you build here stays portable.

Made for engineers.

The notebooks, frameworks and toolchains your ML team already works in.

Control and visibility.

Role-based access, immutable audit logs, Zero Trust at the network layer, and one view of health and spend.

Economics that hold.

Transparent pricing, no egress fees, and 40 to 60% better unit economics than general-purpose clouds.

DESIGNED FOR THE WAY AI RUNS

Not the cloud of yesterday.

Neysa is purpose-built to solve what general-purpose cloud won’t:

Infrastructure – Hardware, network and storage – engineered for AI workloads.
Readiness for the local market, from data residency to regulation.
Predictable pricing, and a team of engineers that works alongside yours.

Infrastructure engineering, secure architecture and builder-first design come together so you can take AI from pilot to production, faster and reliably.

Made in India

Built to global standards.

Neysa is built for the constraints that decide whether AI ships.

Cost
Speed
Performance

Regulation
Talent

We understand India’s complexity because we have built for it before.
Those lessons are in Velocis, benchmarked against the global clouds, giving AI builders in any market the platform they have been looking for.

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TEAM

Driven by purpose.

Neysa started from a simple view: AI infrastructure should be simpler to run, and easier to trust.

Neysa is led by Sharad Sanghi, co-founder and CEO, who built Netmagic into India’s number one data-centre company, acquired by NTT, and has operated 350MW+ of IT load. The people who ran it with him build and operate this platform.

BV Jagdeesh

Chairman

As founding CEO of NetScaler, he pioneered Application Delivery and led its acquisition by Citrix. He now advises Silicon Valley startups and teaches at Santa Clara University.

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Sharad Sanghi

Co-founder & CEO

With over thirty years of extensive experience, he pioneered India’s technological infrastructure and introduced the country’s first data centers with Netmagic, which was acquired by NTT.

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Anindya Das

Co-founder & CTO

An “infrastructure” person with over twenty-five years of experience, Andy has worked on building one of the largest data center companies in the country, some cutting-edge networking, and new-age storage systems.

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BACKING

The build-out is already funded.

Backed by over $1 billion in funding from leading investors, we’re building the infrastructure India’s AI ambition demands.

Partnerships

Join a thriving ecosystem of builders, researchers, and innovators

Neysa is partnered with India’s leading institutions, global AI labs, and system integrators to build the future of AI.

Academic institutions

AI-native research groups

System integrators and solution partners

Model providers and open-source AI communities

Enterprise ready

Secure at every layer.

Security and compliance are embedded into every layer of Neysa’s platform, both at the cloud infrastructure and model level.

Cloud & Infrastructure Security

Encryption, policy enforcement and defence in depth, with SIEM, EDR, DDoS mitigation, vulnerability management and stateful firewalls. Your data, models and logs stay in India, under Indian jurisdiction.

Model Security

Aegis LLM Shield is a standalone layer for the AI application itself: inline protection against the OWASP LLM Top 10, aligned to MITRE ATLAS and NIST AI RMF, with PII detection and redaction.