Why 81% of Enterprise AI Initiatives Run Into the Same Wall
Neysa MLDS overview
We were at MLDS 2026 – India’s largest machine learning developer summit – to meet the engineers actually building and shipping AI in production. We came with a booth, a talk, and a lot of honest conversations about what’s breaking AI in the real world.
What happened at our booth
Developers got a hands-on demo of Neysa Velocis – which offers high-performance GPUs, training & fine-tuning tools, observability dashboards, and AI security in one complete system; and saw firsthand why only Neysa offers the infrastructure that can handle the demands of agentic AI in India.
Ritesh Dhoot at MLDS
Our EVP Engineering took the stage to address the infrastructure gap nobody is talking about — why the stack designed for chat is failing agentic AI in production.
Agentic AI in the real world
We showcased KOGO AI Agents that handle everything from document operations and departmental automation to cross-team workflows and compliance – all running on Neysa Velocis.
Who was there from Neysa
Our team was on the floor for two days — talking to developers, founders, and enterprise buyers about infrastructure, deployment timelines, and what production AI actually demands.
:: Team Members ::
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Event Photo Gallery
FAQs
What was Ritesh’s talk about?
Ritesh Dhoot, our EVP Engineering, spoke about the infrastructure mismatch at the heart of the agentic AI problem. Most teams are building agentic AI on infrastructure designed for stateless chat – and it’s breaking in production. His talk walked through why agentic workloads demand fundamentally different compute, memory, and fabric architecture, and what that means for teams building in India today. Watch the full talk here.
How can I get a demo of Neysa?
Fill out the form here and our team will get back to you.
Is Neysa available in India?
Yes – and that’s the point. Neysa Velocis runs entirely out of Indian data centers. Your data doesn’t cross borders, which matters for BFSI, healthcare, and government workloads where data sovereignty isn’t optional. We’re purpose-built for India’s enterprise AI requirements.
How does Neysa help data scientists?
Neysa Velocis gives data scientists access to high-performance GPUs alongside training and fine-tuning tools, observability dashboards, and MLOps capabilities – all in one place. No more stitching together infrastructure across providers or waiting weeks to provision compute.
What GPUs does Neysa offer?
Neysa provides access to enterprise-grade, high-performance GPUs — including NVIDIA H100s — through Velocis. The platform is built for low-latency inference and high-throughput training, with a high-speed fabric layer and distributed AI filesystem underneath so you’re not bottlenecked by memory or I/O at scale.
Why is Neysa built for agentic AI?
Agentic workloads are fundamentally different from single-turn LLM calls. A typical agentic task uses up to 30x more tokens, requires persistent state across steps, and breaks completely on stateless cloud infrastructure. Neysa Velocis was designed from scratch for this – purpose-built compute, a high-speed interconnect fabric, and a distributed AI filesystem that handles context at scale without the agent or developer ever noticing the handoff. It’s the only infrastructure in India built specifically for what agents actually demand.