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Neysa Velocis

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For CXOs & Decision Makers
Business outcomes with predictable costs and governance.
  • Lower TCO with optimized, transparent pricing.
  • Enterprise-grade security, compliance, and governance.
  • Future-ready scalability for evolving AI strategies.
  • Deployment freedom. Your cloud. Your rules.
+ For AI/ML Teams
Flexibility and speed to build, train, and deploy.
  • Less setup, more science. GPU Compute integrated natively with MLOps pipeline.
  • Support for open-source and open-weights models & toolkits.
  • Seamless integration with existing data, stack
  • Pre-configured environments for PyTorch, Hugging Face, & Jupyter.
+ For Infrastructure Teams
Reliable, easy-to-manage infrastructure for AI workloads.
  • High availability across clusters and regions.
  • Unified dashboards for monitoring and troubleshooting.
  • Seamless team and compute resource access management

Inference-as-a-Service (IaaS)

Instantly deploy popular open-source models or your own — using pre-configured endpoints or custom APIs. Supports OCR, NLP, computer vision, and real-time stream processing.

Move from training to production with fewer handoffs.

AI Platform-as-a-Service (AI PaaS)

Get access to open-source and open-weights model, frameworks and tools to move from generic AI to AI that knows your business and customers. Build, train, deploy models with pre-integrated dev environments, frameworks, and IDE-ready workspaces and open-source libraries and toolchains like Jupyter, PyTorch, Hugging Face, MLflow, and Kubeflow.

No setup lag. Your team gets straight to building.

Orchestration & MLOps

Track, manage, and automate your entire ML lifecycle — from data ingestion to CI/CD pipelines. Model registry, version control, experiment tracking, and monitoring built in. Seamless integration with Git, containers, and CI tools.

Make your workflows reliable, repeatable, and scalable.

Unified Monitoring & Management

A single dashboard for full-stack observability.
Track GPU utilization, disk utilization, and NVMe allocation in real time as granularly as possible. Additional, custom metrics can be configured as per need.

Eliminates sprawl and improves cross-team collaboration.

Catalog

Centralized control for everything in your AI stack — infrastructure, models, tools, and environments. Easily deploy, monitor, and reuse ML components across teams, projects, and stages.

Built for platform admins and practitioners to move faster with less overhead.

Security by Design

RBAC, audit logs, policy enforcements, encryption, and zero-trust access baked in. We ensure you stay safe, stay compliant. Always.

Marketplace Ecosystem


*coming soon

A curated collection of AI-native apps, agents, and SaaS tools — ready to deploy on Velocis.

Fully integrated with the Velocis Cloud, so you can extend capabilities without integration work.

Co-create, launch, and scale solutions without starting from scratch.