Our Solutions

Built for the Real World.
Deployed at the Edge.

Two flagship AI products — plus deep industry solutions across the sectors that matter most.

Flagship Product

vSecure

AI-Powered Edge Surveillance

See everything. Miss nothing. Intelligent vision that processes at the edge — detecting threats, anomalies, and events in real time, without sending raw video to the cloud.

What It Does

vSecure transforms standard IP cameras into intelligent edge agents. Instead of recording and uploading footage, the system processes video locally — identifying people, vehicles, objects, and behaviours the moment they appear, triggering alerts and actions in milliseconds. Raw video never leaves the premises.

Use Cases

Perimeter intrusion detection for warehouses, factories, and campuses

Crowd density monitoring and flow analysis in public spaces

Unauthorised access detection in restricted zones

PPE compliance and unsafe behaviour detection on manufacturing floors

Retail footfall analytics and queue management

Key Capabilities

Real-time object, person, and vehicle detection — no cloud roundtrip

Behaviour recognition — loitering, tailgating, fallen person detection

License plate recognition and vehicle classification (LPR)

Privacy-preserving — raw footage never leaves the premises

Works with existing CCTV via RTSP — no rip-and-replace needed


Flagship Product

vEdge Orchestrator

Distributed AI Fleet Management

One platform. Every edge. Deploy, manage, and orchestrate AI workloads across hundreds of devices — from a single unified control plane, at any scale.

What It Does

vEdge Orchestrator is Vivega AI's core platform for managing distributed AI deployments at scale. Whether you have 10 devices or 10,000, it handles model deployment, health monitoring, workload scheduling, and over-the-air updates — so your entire edge fleet stays intelligent, current, and fully observable from one place.

Use Cases

Multi-site retail AI — in-store analytics synced across all branches

Industrial IoT — AI inference coordination across factory floor sensors

Smart city infrastructure — traffic cameras, environmental sensors, kiosks

Healthcare — edge AI on medical imaging devices across hospital networks

Telecom edge nodes running inference close to end users

Key Capabilities

Unified dashboard — monitor all nodes for health, load, and connectivity

OTA model updates with staged rollout, canary testing, and one-click rollback

Intelligent workload scheduling based on compute capacity and priority

Auto failover and self-healing — offline nodes reroute automatically

RBAC, audit logs, and encrypted pipelines for enterprise compliance

Compatible Hardware

NVIDIA Jetson Raspberry Pi x86 Edge Servers ARM Devices