Edgegenix Cloud AI

One live operational picture. Verified.

Edgegenix Cloud AI aggregates every field signal — from IoT sensors, cameras, drones, and vehicle telemetry — into a single verified Common Operating Picture. The Agent makes the call at the edge in milliseconds, then syncs to the operations centre to verify across every source and preserve an audit-grade evidence trail.

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The platform in action

Four views from the live Cloud AI application — real screenshots from the ops centre.

Tactical Dashboard — live GIS map with drone fleet and AI alert queue
Tactical DashboardLive COP — all drones, sensors, and incidents on one GIS map with AI alerts surfaced in real time.
Drone Operations — 3D fleet management and payload configuration
Drone Operations3D fleet management — airframe telemetry, payload configuration, and live sensor control per drone.
Truck Operations — vehicle-mounted sensor suite and field unit management
Truck OperationsVehicle-mounted sensor suite — live telemetry, field unit status, and on-asset AI feed from the ground.
Incident Intelligence — AI analysis with overlay replay and containment metrics
Incident IntelligenceFull incident workspace — AI overlay replay, containment metrics, and prioritised suggested actions.
How it works

Field data becomes operational intelligence.

The Edgegenix AI Operational Platform connects cameras, sensors, drones, satellites, weather, GIS, and operational records — then applies Vision AI, language models, and autonomous agents to classify what matters, rank severity, trigger the right actions, and deliver one verified Common Operating Picture with a complete audit trail.

Drones & aircraft
Fixed cameras
IoT sensors
Satellite imagery
Weather & environmental
GIS & maps
Assets & infrastructure
Field reports & logs
External systems & APIs
1

Field layer

Connect everything. Every signal from the field arrives in one place — live, timestamped, ready to reason over.

2

Data ingestion

Understand everything. Every signal is enriched with location, asset history, weather, and operational context before AI ever sees it.

3

AI / ML & analytics

Detect, predict, prioritise. Vision, geospatial AI, sensor models, language and risk ranking turn raw data into ranked findings.

4

Operational intelligence

Act with confidence. Dashboards, alerts, actions, workflows and APIs — all tied to evidence and human review.

Verified finding READY FOR REVIEW
TypeVegetation encroachment
LocationSector 4G
SeverityHigh
ActionInspect / escalate
IMG_0047.jpg SENSOR_LOG THERMAL_3D
FIELD SIGNAL VERIFIED DECISION RECOMMENDED ACTION SHARED OPERATION VIEW EVIDENCE RECORD
The agent layer

Agents that monitor, reason, recommend, and record.

MONITORING

Watches approved field signals and flags events that need review.

VERIFICATION

Cross-checks source media, sensor context, location, weather, and history.

RECOMMENDATION

Suggests next steps using severity, confidence, and SOP logic.

REPORTING

Drafts incident summaries, evidence records, and briefings.

WORKFLOW

Creates handoffs, escalation notes, and evidence packages.

Designed for operational control, not black-box autonomy. Decisions that affect safety, response, or field action remain reviewable and auditable.

Common Operating Picture

All field signals unified into one live dashboard. The COP updates in real time, surfacing what matters and suppressing noise so operators stay in command.

AI Verification Engine

Every finding is cross-verified across multiple sources before it reaches an operator. Confidence scores, evidence links, and a plain-language explanation with every alert.

Audit-Grade Evidence Trail

Every decision, every alert, and every agent action is timestamped and stored with its evidence. Court-admissible records for compliance, incident review, and chain-of-command accountability.

Agent Orchestration

Cloud AI orchestrates the full agent mesh — coordinating Edge AI nodes, ECIA connectivity agents, and external data feeds into a single, coherent operational picture.

Operator Copilot

Natural-language interface for operators to query the live picture: 'What changed in Sector 4 in the last 30 minutes?' Answers grounded in verified field data.

Open Integration

REST APIs and webhooks connect to existing CAD systems, radio infrastructure, SCADA, and reporting tools. No rip-and-replace required.

Architecture

Two-tier: Edge decides. Cloud verifies.

Cloud AI is the operations-centre tier of the Edgegenix platform. It receives verified findings from Edge AI nodes and ECIA agents, re-verifies them at the fleet level, and presents operators with a coherent, prioritised operational picture.

Cloud tier

Edgegenix Cloud AI

  • Live COP aggregation from all field sources
  • Fleet-wide re-verification and confidence scoring
  • Audit-grade evidence storage
  • Operator copilot (natural-language queries)
  • Agent mesh orchestration
  • REST API & webhook integration
Field tiers (feeds Cloud AI)

Edge AI + ECIA agents

  • Edge AI: on-device vision AI detection
  • ECIA: on-vehicle connectivity agents
  • Offline operation with store-and-forward
  • Sub-second edge decisions
  • Syncs to Cloud AI on reconnect
The Edgegenix platform

Three products. One intelligence layer.

Deploy standalone or as a unified stack — from the AI box on the vehicle to the operations centre in the cloud.

CURRENT PAGE

Cloud AI

Operations centre. Live COP, AI verification, agent orchestration, and audit-grade evidence trail.

Edge AI

On-asset vision AI. Detects smoke, wildfire, and objects offline — reports verified findings on reconnect.

Explore Edge AI →

ECIA

Connectivity intelligence agent. Predicts link failures before they happen — zero data lost in the field.

Explore ECIA →
Get started

See the operational picture in action.

Request a live demo and see how Cloud AI unifies your field data into one verified, auditable Common Operating Picture.

Request a live demo