The home for your AI.

Build, scale, and govern AI in production.

Ship AI to production faster, run it at a cost you can predict, and keep control as it scales. Neysa gives you the GPU compute, the platform to build and operate on, and the engineering team that keeps it running in production.

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The teams shaping
India’s AI future build with us.

The challenge

Running AI in production needs infrastructure the old cloud was never meant to be.

Too many moving parts.

Compute, tooling, security and governance stay separate problems, until something breaks and they become one problem: yours.

Costs that climb fast.

One use case taking off should not turn into a bill nobody saw coming.

Hard to stay in control.

As AI spreads across teams, it gets harder to see who is using what, and where the data goes.

platform

Neysa helps you run AI in production.

A full-stack AI Acceleration Cloud system built for speed, control, and scale. From GPU-as-a-Service to fully managed AI PaaS, Velocis integrates orchestration, cost governance, and enterprise-grade security, giving you everything you need to run your AI with confidence.

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Optimized for cost & performance

Simple to use, built  for AI practitioners

Scales as you  grow

Speed to train
& deploy

Enterprise-grade security and control

Solutions

Built for the way your industry
Builds AI.

Explore tailored use cases, built for where you work and how you build.

Banking & Financial Services

Insurance

Retail &
eCommerce

Manufacturing

Technical Education & Research

Digital & AI
Native

Customers

Hear from the teams who build with neysa.

By partnering with Neysa, we’ve finally moved past the latency and cost barriers of legacy infrastructure to a system that handles our scale with total reliability.

Anil Porter

Chief Technology Officer

ITQ

Building voice AI for India means dealing with 19,000 dialects, code-switching, and background noise where 95% accuracy isn’t enough. Global/hyperscale players can’t solve India-specific nuances. With Neysa, we get compute tuned for high-throughput, low-latency workloads that actually meet enterprise-grade accuracy requirements.

Raoul Nanavati

Co-founder and CEO

Navana.ai

When you build your own models, infra becomes a critical piece. Hyperscalers come with constraints—you don’t always get the configurability or inference capabilities you want. With Neysa, we hit the right synergy. It gives us reliability, flexibility, and the ability to scale with confidence.

Akshhat Mandloi

CTO & Co-founder

Smallest.ai

With AWS and Azure, costs were piling up and generic models just didn’t deliver the accuracy our banking customers needed. We needed scalability, data residency, and domain-tuned models — all at sustainable costs. With Neysa, we got it all. Today, 100% of our AI workloads, from speech-to-text to inferencing, run on Neysa because it gives us the performance, compliance, and control hyperscalers couldn’t.

Aman Goel

Founder & CEO

Greylabs.ai

Neysa gave us the compute headroom to run our research project the way it needed to be run. The dataset, the training pipeline, the evaluations – none of it required us to scale down our ambitions to match what was available.

Anirban Chakraborty

Professor, Visual Computing Lab

Indian Institute of Science

Neysa provided the goldilocks zone we were looking for. They gave us the exact balance of root level control, dedicated compute, and hands on engineering support to get our system ready for production.

Girish Varadarajan

Chief Data and AI Officer

Innoviti

We fine-tuned a custom LLM for colloquial Indian languages and needed a deployment partner who could give us a predictable tail latency in production. Neysa and Pipeshift had our fine-tuned model live as an inference endpoint within a day, and now also hosts the SLMs we use for predictive caching and the custom containers running ASR models.

Vengadanathan Srinivasan

CTO

Arrowhead AI

Neysa gave us reliable, dedicated GPUs at a cost we can predict, and a team that is always a phone call away. In a world racing to automate everything, that reliability and support is the real difference.

Shilpa Mahna Bhatnagar

Founder

Haeywa

By partnering with Neysa, we’ve finally moved past the latency and cost barriers of legacy infrastructure to a system that handles our scale with total reliability.

Anil Porter

Chief Technology Officer

ITQ

Building voice AI for India means dealing with 19,000 dialects, code-switching, and background noise where 95% accuracy isn’t enough. Global/hyperscale players can’t solve India-specific nuances. With Neysa, we get compute tuned for high-throughput, low-latency workloads that actually meet enterprise-grade accuracy requirements.

Rauol Nanavati

Co-founder and CEO

Navana.ai

When you build your own models, infra becomes a critical piece. Hyperscalers come with constraints—you don’t always get the configurability or inference capabilities you want. With Neysa, we hit the right synergy. It gives us reliability, flexibility, and the ability to scale with confidence.

Akshhat Mandloi

CTO & Co-founder

Smallest.ai

With AWS and Azure, costs were piling up and generic models just didn’t deliver the accuracy our banking customers needed. We needed scalability, data residency, and domain-tuned models — all at sustainable costs. With Neysa, we got it all. Today, 100% of our AI workloads, from speech-to-text to inferencing, run on Neysa because it gives us the performance, compliance, and control hyperscalers couldn’t.

Aman Goel

Founder & CEO

Greylabs.ai

Neysa gave us the compute headroom to run our research project the way it needed to be run. The dataset, the training pipeline, the evaluations – none of it required us to scale down our ambitions to match what was available.

Anirban Chakraborty

Professor, Visual Computing Lab

Indian Institute of Science

Neysa provided the goldilocks zone we were looking for. They gave us the exact balance of root level control, dedicated compute, and hands on engineering support to get our system ready for production.

Girish Varadarajan

Chief Data and AI Officer

Innoviti

We fine-tuned a custom LLM for colloquial Indian languages and needed a deployment partner who could give us a predictable tail latency in production. Neysa and Pipeshift had our fine-tuned model live as an inference endpoint within a day, and now also hosts the SLMs we use for predictive caching and the custom containers running ASR models.

Vengadanathan Srinivasan

CTO

Arrowhead AI

Neysa gave us reliable, dedicated GPUs at a cost we can predict, and a team that is always a phone call away. In a world racing to automate everything, that reliability and support is the real difference.

Shilpa Mahna Bhatnagar

Founder

Haeywa

Why Neysa

Not just another AI cloud. One built for you.

We deliver AI-native infrastructure tuned for Indian workloads, and the enterprise-grade orchestration to help you move from idea to scaled deployment, faster.

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Integrated AI Cloud System

GPU Infrastructure, AI Platform, Marketplace  and Security designed to work as one.

India-First Innovation

Tailored for local constraints, built to  scale globally.

Operational Control

Full visibility and control across your model training  to inference environments.

testimonials

Why our customers choose Neysa

“Led by BVJ, Sharad Sanghi, and Andy, the visionaries who built India’s first data center and Netmagic, India’s largest data center company.””Led by BVJ, Sharad Sanghi, and Andy, the visionaries who built India’s first data center”