Speak with an AI Infrastructure Expert

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

Graylabs.ai