Sovereign enterprise AI

Enterprise AI platforms you can run on your own terms.

VedaCLOUD.AI builds sovereign AI and engineering platforms — from agent execution and voice AI to GPU orchestration, secure communications and video intelligence — designed to be deployed where your data lives.

Browse the technical documentation

VedaCLOUD.AI portfolio: ATLAS, AuraVoice, NEXUS, VedaCODE, VedaONE, Sentinel ATLASAuraVoiceNEXUSVedaCODEVedaONESentinel

Portfolio

One sovereign portfolio, 6 platforms

Each platform is documented for the engineers who deploy and operate it.

AI Platforms

ATLAS

Sovereign Enterprise AI Execution & Agent Studio

Grounded enterprise knowledge, visual multi-agent orchestration and self-healing code execution inside isolated Linux sandboxes, running on-premises on customer NVIDIA GPUs.

Deployment: On-premises / sovereign · Air-gapped · Hybrid · GPU or CPU

Voice AI

AuraVoice

Sovereign Cognitive Telephony Platform

On-premises, GPU-accelerated voice automation for citizen help-desks and enterprise contact centres, with speech in 11 Indian languages plus English, a visual Agent Studio and SIP, PBX and cloud-telephony integration.

Deployment: On-premises GPU host · Kubernetes (production)

AI Infrastructure

NEXUS

Sovereign AI Cloud Orchestration Platform

Turns bare-metal NVIDIA GPU infrastructure into a branded, multi-tenant sovereign AI cloud: GPU-as-a-Service, Model-as-a-Service and Fine-Tuning-as-a-Service with built-in FinOps.

Deployment: Docker Compose · Native host · Operator data centre / State Data Centre

Engineering Platforms

VedaCODE

Sovereign AI Software Engineering Platform

Self-hosted AI software engineering with maker-checker verification: requirements become planned, approved, sandbox-tested code changes on private NVIDIA GPUs, with no source code leaving your network.

Deployment: Self-hosted / on-premises · Air-gapped

Secure Communications

VedaONE

Sovereign Enterprise Communications Platform

Zero-trust messaging, voice and video for defence and enterprise, using NIST post-quantum algorithms, IETF MLS group encryption and fully on-premises data residency.

Deployment: On-premises / State Data Centre · Air-gapped

Video Intelligence

Sentinel

AI-Powered Video Management and Command-and-Control Platform

GPU-accelerated video management with live surveillance, face recognition, person tracking, ANPR, investigations and evidence management, deployable on a single Ubuntu GPU server, on-premises or in the cloud.

Deployment: On-premises · Cloud (your account)

Why VedaCLOUD.AI

Built for control, depth and accountability

Sovereign by design

Platforms positioned for on-premises, private-cloud and controlled deployments, so organisations keep control of their data and models.

Engineering depth

Every product ships with architecture notes, deployment guidance and technical documentation written for the engineers who run it.

Governed execution

Human approval checkpoints, auditability and least-privilege controls are treated as product features, not afterthoughts.

From engineering

Documentation · Sentinel

Sentinel API overview

REST resources and the live event WebSocket.

Documentation · Sentinel

Installing Sentinel

Hardware, software prerequisites and installation methods.

All documentation Engineering blog

Talk to the VedaCLOUD.AI team

Tell us about your environment and requirements. We will route your enquiry to the right product specialists.

Email connect@vedacloud.ai

Opens your email application. Nothing is sent until you press send.