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Neysa is an AI Acceleration Cloud provider offering purpose-built platforms that help businesses adopt, deploy, and scale AI and GenAI. With high-performance computing, streamlined orchestration, and secure infrastructure, Neysa enables startups and enterprises to move AI projects from experimentation to production efficiently and without complexity.
Neysa provides support to companies in speeding up their AI projects through a single ecosystem that is high-performance and designed for efficiency and control. The cloud foundation that is specifically made for these purposes reduces complications caused by model experimentation and large-scale enterprise deployment and thus offers the speed and flexibility required for innovations without the danger of getting stuck in operational bottlenecks.
Neysa guarantees security, sovereignty, and smooth orchestration all throughout the AI lifecycle thus leading to reliability and lucidity. Businesses can turn their ideas into AI solutions that are ready for production without any doubt when it comes to transparency, stability, and efficiency at every step of the way.
Neysa delivers the Velocis AI Cloud, GPU-as-a-Service, AI Platform-as-a-Service, inference services, orchestration and MLOps, real-time GPU monitoring, AI security, an AI Catalog, an AI Marketplace, platform architecture support, and industry-specific AI cloud solutions for finance, retail, insurance, manufacturing, research, and digital-native sectors.
Neysa’s revenue model is built on usage-driven growth, centered on flexible consumption of its AI cloud capabilities and expanding customer demand across multiple sectors and emerging global digital markets.
Client Segments: Enterprises in BFSI, digital-native businesses, telecom, retail, manufacturing, research organizations, and AI-focused startups needing scalable AI and GenAI infrastructure.
Target Companies: AI-driven startups, cloud-native enterprises, financial institutions, large tech firms, system integrators, and organizations seeking advanced GPU computing, MLOps, and secure AI cloud environments.
Target Geography: Primarily India, with ongoing expansion into Asia-Pacific, the Middle East, and other high-growth markets accelerating AI adoption.
