Neysa
Category: AI Infrastructure
A full-stack AI Acceleration Cloud System that provides GPU-as-a-Service, AI Platform-as-a-Service, and integrated orchestration for training, fine-tuning, and deploying AI/ML models at scale. Neysa was founded in 2023. The company is led by Sharad Sanghi. Based in Mumbai, India. Team size: 110. Total funding raised: $1.25B ($650M Equity + $600M Debt). Latest round: Growth round ($600.0M equity + $600M debt, Feb 2026). Key investors include ["Blackstone (lead)","Teachers' Venture Growth","TVS Capital","360 ONE Assets","Nexus Venture Partners","Z47 (Matrix Partners India)","NTTVC"].
- Founded
- 2023
- Headquarters
- Mumbai, India
- Team size
- 110
- Total funding
- $1.25B ($650M Equity + $600M Debt)
Value proposition
Democratizes AI adoption by providing purpose-built, GPU-first infrastructure at 40-70% lower total cost of ownership than global hyperscalers—with no vendor lock-in, full data sovereignty, transparent pricing, and integrated full-stack orchestration that accelerates AI deployment from prototype to production.
Products and solutions
["Neysa Velocis (Flagship AI Cloud System)","GPU-as-a-Service (NVIDIA H100, H200, L4, L40S & AMD MI300X)","Inference-as-a-Service with pre-configured endpoints","AI Platform-as-a-Service (AI PaaS) with integrated dev environments","Orchestration & MLOps (model registry, version control, CI/CD pipelines)","Unified Monitoring & Management Dashboard","Security by Design (RBAC, audit logs, encryption, zero-trust)","Marketplace Ecosystem (coming soon)"]
Unique value
Purpose-built AI cloud (vs. general-purpose hyperscalers) optimized specifically for GPU-intensive AI/ML workloads; India-first design addressing local latency, compliance, and data sovereignty needs; open-weights/open-source model approach that avoids vendor lock-in and token-based billing; unified full-stack platform integrating infrastructure, orchestration, security, and observability in a single system.
Target customer
Enterprises (banking, insurance, healthcare, manufacturing), government agencies, AI developers, SaaS startups, hyperscalers, and global AI labs seeking local, sovereign AI infrastructure in India and emerging markets
Industries served
["Financial Services & Banking","Technology & Software","Healthcare","Public Services & Government","Manufacturing (predictive maintenance, quality inspection)","Digital & AI-Native Startups"]
Technology advantage
Combines high-performance GPU infrastructure (NVIDIA & AMD) with proprietary orchestration layer, real-time observability, and enterprise-grade security (SOC 2, ISO/IEC 27001:2022); delivers 40-70% total cost of ownership reduction vs. hyperscalers; enables zero-downtime scaling and plug-and-play inference pipelines; supports foundation model training, LLM fine-tuning, and large-scale inference with performance optimization at both node and cluster levels.
How they differentiate
Purpose-built AI cloud platform optimized specifically for GPU-intensive AI/ML workloads (vs. general-purpose hyperscalers), with India-first design addressing local latency, compliance, and data sovereignty requirements; offers 40-70% lower total cost of ownership, no vendor lock-in through open-weights models, and integrated full-stack platform combining infrastructure, orchestration, security, and observability; led by visionary team who built India's first data center company (Netmagic)
Main competitors
["Amazon Web Services (AWS)","Microsoft Azure","CoreWeave","Lambda Labs","Krutrim"]
Key partnerships
["GPU vendors: NVIDIA and AMD for latest processor access (H100, H200, L4, L40S, MI300X)","System integrators for enterprise-wide AI transformations","Global AI labs and research institutions","Sector-specific partners: banking, insurance, call center, and healthcare for domain-specific use cases","Investor partnerships: Blackstone (lead), Teachers' Venture Growth, TVS Capital, 360 ONE Assets, Nexus Venture Partners, Z47 (Matrix Partners India), NTTVC","Resellers and value-added distributors through partner program"]
Notable customers
["Research institutes","AI-native startups","Banking sector enterprises","Manufacturing enterprises","Media companies","Government agencies","Healthcare providers"]
Major milestones
["Founded in 2023 by Sharad Sanghi and Anindya Das","Raised $20M seed round (April 2024) - one of India's largest seed rounds","Raised $30M Series A co-led by NTTVC, Z47, and Nexus Venture Partners (October 2024)","Secured $1.2B funding led by Blackstone (February 2026)","Achieved unicorn status with $1.4B valuation (February 2026)","Approved as cloud service provider under IndiaAI Mission","Partnerships with NVIDIA and AMD for latest GPU access","Collaboration with GreyLabs AI for BFSI enterprise solutions"]
Growth metrics
Achieved unicorn status ($1.4B valuation) in under 3 years; scaled to 110 employees; targeting 3x revenue growth by FY27; plans to deploy over 20,000 GPUs across India
Market positioning
India-focused AI neocloud infrastructure provider positioned as the domestic alternative to global hyperscalers; targeting mid-market to large enterprises, government agencies, and AI-native startups requiring sovereign, low-latency GPU compute; approved cloud service provider under IndiaAI Mission
Geographic focus
India (primary market with domestic data centers), Asia-Pacific region (secondary expansion target)
Patents and IP
No registered patents publicly disclosed as of latest available information (February 2026); competitive differentiation driven by integrated system architecture, operational expertise, and market positioning rather than patented technology
About Sharad Sanghi
Pioneer of India's IT infrastructure sector with over 30 years of experience. Founded Netmagic Solutions in 1998, India's first carrier-neutral data center provider (acquired by NTT Data in 2012). Served as CEO of NTT Ltd. India from 2012 to 2022. Distinguished Alumnus of IIT Bombay and serves on the Board of Visitors at Columbia University's School of Engineering.
Official website: https://neysa.ai