Neysa (AI Acceleration Cloud) — Company Dossier
Company at a Glance
Neysa is an AI acceleration cloud company providing GPU infrastructure and full‑stack tooling for model training, fine‑tuning, inference, and production deployment. Its flagship platform, **Neysa Velocis**, offers managed VMs, bare‑metal GPUs, and Kubernetes clusters—positioned as a “GPU cloud for AI agents” with a one‑click **AI Marketplace** for deploying partner apps, tools, and agents.
Website: [neysa.ai](https://neysa.ai)Core platform: [Neysa Velocis](https://neysa.ai/neysa-velocis/)“GPU Cloud for AI” overview: [GPU cloud for AI](https://neysa.ai/neysa-velocis/gpu-cloud-for-ai/)Pricing: [Transparent pricing](https://neysa.ai/pricing/)H100 inventory and rates: [Rent H100 on demand](https://neysa.ai/gpu-cloud-pricing/rent-h100-on-demand/)AI Marketplace: [Deploy tools and agents](https://neysa.ai/neysa-velocis/ai-marketplace/)Security & governance: [Trust Center](https://trust.neysa.ai/)Thought leadership: [GPUaaS blog](https://neysa.ai/blog/gpu-as-a-service/), [AI Neocloud blog](https://neysa.ai/blog/what-is-ai-neocloud/)Social: [LinkedIn](https://www.linkedin.com/company/neysaai)Headquarters and primary presence: Mumbai, India, with growing brand visibility on [LinkedIn](https://www.linkedin.com/company/neysaai).
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Platform Overview: Neysa Velocis
A full‑stack AI cloud designed to accelerate the lifecycle from prototype to production.
Infrastructure choices: **Managed VMs**, **bare‑metal GPU nodes**, and **Kubernetes clusters** for orchestrating AI/ML workloads.GPU coverage: Quick access to **NVIDIA** and **AMD** GPUs; public page for **NVIDIA H100** rentals.AI agents and apps: One‑click deployment via the **[AI Marketplace](https://neysa.ai/neysa-velocis/ai-marketplace/)**.Design principles: Emphasis on a **local‑first** architecture for performance and control, plus **transparent pricing**.Companion platforms:**Neysa Overwatch** — performance optimization for AI/ML environments.**Neysa Aegis** — protection and security posture management.Governance and security: Documented in the **[Trust Center](https://trust.neysa.ai/)**.What it enables:
End‑to‑end model lifecycle: training, fine‑tuning, evaluation, high‑throughput inference, and deployment.Flexible control planes: pick the right abstraction (VMs, bare‑metal, or K8s) for your MLOps maturity.---
Key Capabilities
Training and fine‑tuning for LLMs and vision models on NVIDIA/AMD GPUs.High‑throughput, low‑latency inference suitable for agents and microservices.One‑click app and agent deployment via the **[AI Marketplace](https://neysa.ai/neysa-velocis/ai-marketplace/)**.Rapid provisioning with predictable, transparent pricing and control.Integrated approach to **MLOps** with K8s clusters, managed services, and governance features.---
Pricing and GPU Availability
Public pricing and positioning on cost transparency: see **[Pricing](https://neysa.ai/pricing/)**.Real‑time H100 inventory and on‑demand rates: **[H100 rentals](https://neysa.ai/gpu-cloud-pricing/rent-h100-on-demand/)**.Note on trials: No clearly advertised free trial; contact Neysa for credits or evaluation options.---
Security, Compliance, and Governance
The **[Trust Center](https://trust.neysa.ai/)** outlines security posture, platform scope, and governance commitments.Evaluate data isolation, API access controls, audit logs, and per‑tenant boundaries during procurement.---
Ideal Customers
**AI‑native startups** building agents, RAG apps, or custom LLM services.**ML teams** seeking direct GPU access with Kubernetes or managed VMs.**Enterprises** piloting or scaling inference workloads that require predictable cost, compliance, and governance.---
Common Use Cases
Train or fine‑tune LLMs, diffusion, or vision models with GPU elasticity.Deploy **real‑time agent inference** and microservices with low latency.Spin up managed VMs, bare‑metal nodes, or full **Kubernetes** clusters for production MLOps pipelines.One‑click deploy partner tools and agents via the **[AI Marketplace](https://neysa.ai/neysa-velocis/ai-marketplace/)**.---
Integrations and Ecosystem
**Kubernetes** clusters for orchestrating training and inference.**AI Marketplace** for integrated ISV tools and agent frameworks.Note: The public site does not list a detailed partner catalog; verify specific frameworks, model servers, and ISVs with sales.---
Market Perception and Social Proof
Public third‑party feedback on runtime performance and support is still limited. Treat sentiment as early and sparse.
Community chatter skews toward workplace topics rather than product performance:Reddit: [Work culture inquiry](https://www.reddit.com/r/AI_India/comments/1k683sg/neysa_ai_is_the_work_culture_good_here/), [Company review thread](https://www.reddit.com/r/developersIndia/comments/1ii8qek/neysa_ai_company_review_insights_about_the_work/)Review platforms:G2: [Alternatives page for Neysa Velocis (no reviews)](https://www.g2.com/products/neysa-velocis/competitors/alternatives)Trustpilot: [Single review currently](https://www.trustpilot.com/review/neysa.ai)Positive signals:
Clear alignment with buyer pain points: transparent pricing, quick GPU access, and reduced friction from prototype to production.Growing brand presence and hiring interest on [LinkedIn](https://www.linkedin.com/company/neysaai).---
Buyer’s Checklist (Due Diligence)
Before committing, validate specifics via a POC or trial:
GPU details: SKUs (H100 and others), regions, quotas, queue times, and burst capacity.SLAs: uptime, incident response, performance guarantees, and support tiers.Cost controls: budget caps, spot/on‑demand mix, auto‑shutdown policies, and egress/storage pricing.MLOps stack: supported model‑serving frameworks, container registries, observability, and CI/CD hooks.Marketplace: concrete ISV list, agent frameworks, licensing, and support boundaries.Security: tenant isolation, data residency, encryption standards, audit logging, and compliance attestations documented in the **[Trust Center](https://trust.neysa.ai/)**.---
Why Teams Choose Neysa
**Full‑stack control**: choose VMs, bare‑metal, or K8s based on workload maturity.**Agent‑ready**: one‑click deployment via the **[AI Marketplace](https://neysa.ai/neysa-velocis/ai-marketplace/)**.**Transparent pricing** with publicly listed GPU options and **[H100 on‑demand](https://neysa.ai/gpu-cloud-pricing/rent-h100-on-demand/)**.**Performance and protection** posture via companion platforms (Overwatch, Aegis) and a published **[Trust Center](https://trust.neysa.ai/)**.---
Resources
Company: [neysa.ai](https://neysa.ai)Platform: [Neysa Velocis](https://neysa.ai/neysa-velocis/) and [GPU cloud for AI](https://neysa.ai/neysa-velocis/gpu-cloud-for-ai/)Pricing: [Transparent pricing](https://neysa.ai/pricing/) and [Rent H100 on demand](https://neysa.ai/gpu-cloud-pricing/rent-h100-on-demand/)AI Marketplace: [Deploy tools and agents](https://neysa.ai/neysa-velocis/ai-marketplace/)Security: [Trust Center](https://trust.neysa.ai/)Blog: [GPU as a Service](https://neysa.ai/blog/gpu-as-a-service/), [What is AI Neocloud?](https://neysa.ai/blog/what-is-ai-neocloud/)Social: [LinkedIn](https://www.linkedin.com/company/neysaai)Community/Reviews: [G2 alternatives (no reviews)](https://www.g2.com/products/neysa-velocis/competitors/alternatives), [Trustpilot](https://www.trustpilot.com/review/neysa.ai), Reddit [thread 1](https://www.reddit.com/r/AI_India/comments/1k683sg/neysa_ai_is_the_work_culture_good_here/) and [thread 2](https://www.reddit.com/r/developersIndia/comments/1ii8qek/neysa_ai_company_review_insights_about_the_work/)
