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EDGE DEPLOYMENT
Deploy IREX Where Your Data Lives
Cloud, private cloud, or on-premise edge server — IREX deploys to the architecture your security and sovereignty requirements demand. One platform. Three deployment models. Full AI capability in all three.
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Cloud SaaS
Private Cloud
Edge Server
Sovereign Data
500,000+ Camera Capacity
Linear Scaling
DEPLOYMENT MODELS
Choose the Architecture That Fits Your Requirements
Every deployment model delivers the full IREX AI platform — same modules, same Searchveillance™, same audit trail.
  • Built on IREX Cloud SaaS infrastructure, deployed with a local server on-site when connectivity is limited or unreliable. AI analytics run locally — only events and alerts are transmitted to the central platform, not raw video. Designed for remote locations, hybrid environments, and sites with bandwidth constraints.
  • Managed by IREX engineers
  • Automatic HA and load balancing
  • Automatic software updates
  • Scales on demand
  • VPN encryption in transit

Best for: Agencies needing fast deployment without server procurement
  • IREX deploys on your own datacenter infrastructure. All video, biometric data, and analytics events stay inside your jurisdiction — never leave your network. Ideal for CJIS compliance, national security requirements, and agencies with existing server infrastructure.
  • Data stays in your jurisdiction
  • Kubernetes + Ceph on your hardware
  • CJIS and sovereign data compliance
  • Multi-tenant, role-based access
  • Scales to 500,000+ cameras

Best for: Federal, state, and national deployments with data sovereignty requirements
  • Built on IREX Cloud SaaS infrastructure, deployed with a local server on-site when connectivity is limited or unreliable. AI analytics run locally — only events and alerts are transmitted to the central platform, not raw video. Designed for remote locations, hybrid environments, and sites with bandwidth constraints.
  • AI analytics run on-site
  • Minimal bandwidth — events only
  • Continues operating during outages
  • Auto-sync on reconnect
  • Built on IREX Cloud SaaS

Best for: Remote locations, hybrid deployments, and bandwidth-constrained sites
IREX Cloud vs. Edge Deployment — Side by Side
Both options deliver full IREX AI capability. The difference is where the AI runs and what travels over your network.
Feature IREX Cloud / On-Prem Edge / Hybrid Deployment
Real-time alerts for control rooms Yes Yes
Multi-site Searchveillance™ Yes Yes
Reduced bandwidth requirements No Yes
Offline analytics & recording No Yes
Auto event sync on reconnect No Yes
Automatic camera discovery No Yes
Centralized management Yes Yes
Encrypted video transmission Yes (VPN) Yes (automatic VPN)
Automatic software updates Yes Yes
High availability & failover Included Extra on-prem hardware
Built to Scale From One Site to One Country
#1 Kubernetes-native, linearly scalable architecture
IREX runs on Kubernetes — containers migrate automatically when a node fails, load balances across all available hardware, and restarts services without operator intervention. Adding cameras means adding Kubernetes and Ceph nodes. Adding users means adding load balancer nodes. The platform automatically picks up new resources without reconfiguration.
#2 Petabyte-scale storage with 99.95% data integrity
IREX uses Cassandra and Ceph distributed storage with triple replication across nodes. If a drive or server fails, data automatically redistributes across remaining nodes — with no data loss and no operator action required. Video and events are stored separately, enabling sub-second search across petabytes of retained footage. The Leaf-Spine network architecture provides predictable, equidistant packet latency at any scale.
#3 100% open-source infrastructure stack
Detects make, model, color, and type — including motorcycles and two-wheelers — and identifies vehicles even when the plate is obscured or missing. IREX correlates both plate and vehicle context, so investigators see the full picture, not just a plate crop.
FAQ — CORRECTIONS & JAILS

Questions Corrections Agencies Ask.

In the Cloud model, raw video streams from your cameras travel to IREX's cloud infrastructure where AI analytics are processed. In the Edge Server model, an IREX server is installed on-site: AI runs locally and only events and alerts are transmitted to the central platform — not raw video. Edge deployment reduces bandwidth requirements significantly and continues operating during internet outages.

Yes. The Private Cloud deployment model runs entirely within your network — no data leaves your jurisdiction. IREX can be deployed on your own bare-metal servers or private datacenter infrastructure, with no dependency on IREX cloud services for operation. This model supports CJIS compliance and sovereign data requirements for federal and national deployments.

With the Edge Server deployment, IREX continues to run AI analytics and record video locally even when connectivity to the central platform is lost. All events detected during the outage are stored on the edge server and automatically synchronized with the central platform when the connection is restored — with no data loss and no manual intervention required.

IREX scales linearly to 500,000+ cameras by adding Kubernetes and Ceph nodes. There is no architectural ceiling — the same platform running a 50-camera municipal deployment also underpins national-scale C4/C5 command centers. Scaling cameras, archive depth, and concurrent users each require adding different node types; the platform automatically balances load across new resources.

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Choose Your Deployment Model

Live demonstration on your existing infrastructure in your region. No hardware replacement. No procurement cycle needed to begin.

  • 500K+ Camera capacity

  • 3 Deployment models

  • 10+ Countries live

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