P-0101 · 03
Leak · Screen-to-screen latency
Disconnected systems
Video, sensor data, and records live in separate tools. Operators jump between screens instead of working from one operational picture.
Loss vector
WL
WiredLeapIntelligence · OS
UTC18:45:41
Request DemoLIVE FEED
INGEST · 412 NODES ONLINE·EDGE · 14MS FRAME-TO-INSIGHT·UPLINK · SOVEREIGN MODE·DEPLOY · 11 REGIONS·CENTRAL AI · 6 MODELS HOT·LAT · 28.61° N · LON · 77.23° E·DRONE · 2 UAV IN THEATER·FUSION · VLM + LLM · NOMINAL·BACKHAUL · 98.7% UPTIME · 30D·POWER · REDUNDANT · GREEN·INGEST · 412 NODES ONLINE·EDGE · 14MS FRAME-TO-INSIGHT·UPLINK · SOVEREIGN MODE·DEPLOY · 11 REGIONS·CENTRAL AI · 6 MODELS HOT·LAT · 28.61° N · LON · 77.23° E·DRONE · 2 UAV IN THEATER·FUSION · VLM + LLM · NOMINAL·BACKHAUL · 98.7% UPTIME · 30D·POWER · REDUNDANT · GREEN·
18:45:41UTC
§ 01WL · FILE · 0001
System operational · Brief · 01
Turn live data
into real-time
operational intelligence
IRIS connects CCTV, drones, IoT sensors, traffic systems, body cameras and databases — so operators detect incidents, understand context, and respond in seconds.
Built for smart cities, critical infrastructure, industrial operations, and defense. Deploys at the edge, on-premise, or across hybrid environments.
01Existing infra · 0 rip-and-replace02Detection · sub-second03Fusion · multi-source04Trigger · workflows + devices05Offline · sovereign
Telemetry · Session● LIVE
Nodes
1,284
online
Latency
14 ms
frame → insight
Models
6
hot · vlm + llm
Regions
11
edge deployed
Feeds
CCTVDRONELIDARRADARSIG-INTDATABASE
28.6139° N · 77.2090° E18:45:41
doc · WL-IRIS-0001rev · 04.25
↓Continue reading · Section 02 · Operational leakagewiredleap.ai / iris
§02/ 09Operational Leakage
Why current operations breakBrief · P-01 / P-03
The data is
already here.
The decisions aren’t.
Most organisations already have the data they need — camera feeds, drone video, sensor networks, traffic systems, operational databases.
The problem is that those systems are disconnected, slow to interpret, and too manual to drive action in real time.
↓ The three leaks
P-0202 · 03
Leak · Analyst cognitive load
Manual interpretation
Teams still rely on people to watch feeds, compare sources, and decide what matters. By the time a pattern is confirmed, the situation has moved on.
Loss vector
P-0303 · 03
Leak · Time-to-action
Reactive response
Alerts arrive late, context is missing, response is fragmented. Organisations can observe events but cannot consistently understand and act in the moment.
Loss vector
§03/ 09IRIS · Platform
Three-layer architectureDoc · ARCH-0003
§Architecture · Data → Decision → Action
How IRIS
closes the loop.
Fragmented operational data becomes a live decision loop: connect the inputs you already have, interpret what is happening, trigger the right response — in seconds, not hours.
A
01 / 03Layer
Integration
Connect everything you already have
IRIS ingests feeds from field devices, enterprise systems, and external sources — no rip-and-replace, no vendor lock-in.
CCTV
RTSP · ONVIFDrones / UAV
Telemetry · VideoIoT Sensors
MQTT · ModbusEnterprise DB
SQL · GraphQLSatellite
Imagery · SIGDispatch
911 · ERSB
02 / 03Layer
Intelligence
Detect and interpret in real time
Edge models flag incidents at the source in under 20ms. Central VLM+LLM reasoning assembles context across feeds.
Edge Intelligence
< 20 msRuns directly on local hardware to flag incidents as they happen — people, vehicles, anomalies, smoke, safety risks.
Central Intelligence
VLM + LLMCombines feeds into context: what happened, how serious it is, what it connects to, what operators should do next.
C
03 / 03Layer
Action
Trigger the right response
IRIS closes the loop — intelligence routed to workflows, responders, and connected devices so action happens in seconds.
Alerts
multi-channelWorkflows
automatedDispatch
ems · policeDevice Control
signals · dronesOrchestration
autonomousA→ FUSEB→ DECIDECACT
§04/ 09Capabilities · Field
What teams can doList · CAP-01 / CAP-06
What teams
do with IRIS.
From city operations to industrial safety, IRIS helps teams monitor, detect, understand, and respond — without switching between disconnected systems.
CAP-01
CoreReal-Time Monitoring
Unified view across all data sources in one interface. See everything happening across your operational landscape simultaneously.
↳ 1 view · n streams01 / 06
CAP-02
Multi-Source Fusion
Combine video, sensor data, and databases into a single intelligence stream. Break down silos between disconnected systems.
↳ cross-modal02 / 06
CAP-03
Instant Detection
Identify events as they happen — accidents, threats, anomalies — with sub-second detection latency at the edge.
↳ < 20 ms · edge03 / 06
CAP-04
AIContextual Intelligence
Understand not just what happened, but what it means. AI-driven reasoning across time and multiple data sources.
↳ vlm + llm04 / 06
CAP-05
Autonomous Response
Trigger actions automatically or assist human operators with intelligent recommendations and automated workflows.
↳ human + auto05 / 06
CAP-06
Offline Operation
Works without internet connectivity. Edge intelligence ensures continuous operation in any environment.
↳ air-gapped ok06 / 06
§05/ 09Differentiation · Why IRIS
Ground-up design choicesList · 01 / 05
Built different.
On purpose.
IRIS was designed from the first line of code for real-world, real-time operations — not a cloud dashboard stretched to meet the field. Here’s what sets it apart.
§ 01
Edge + Center Hybrid Architecture
Faster. Lighter. More resilient.
Most systems are cloud-only. IRIS distributes intelligence across edge and center — delivering faster response, lower bandwidth, and higher reliability.
01 / 052 tiers
§ 02
True Real-Time (< 20ms at Edge)
Live intelligence, not historical reports.
Not post-processing. Not delayed analytics. Live intelligence at the source with frame-to-insight latency under 20 milliseconds.
02 / 05< 20 ms
§ 03
Full Loop: Detection → Decision → Action
Not just insights. Outcomes.
Most platforms stop at dashboards. IRIS completes the loop — from detecting an event to deciding what to do to executing the response automatically.
03 / 05closed loop
§ 04
Works with Existing Infrastructure
Zero-disruption deployment.
No need to rip and replace. IRIS integrates with the cameras, sensors, databases, and systems you already have in the field.
04 / 050 rip
§ 05
Sovereign & Secure
Your data. Your control.
Deploy fully on-premise with no dependency on external infrastructure. Designed for sensitive environments and sovereign operations.
05 / 05air-gap ok
§06/ 09Deployments · Field
Across industriesDossier · SC-01 / DB-05
Deployed
across theatres.
Originally inspired by modern battlefield systems, IRIS has been re-architected into a general-purpose intelligence layer — from city streets to border outposts.
SC-01
01 / 05Sector
Smart Cities
Keep traffic moving, incidents short, and residents safe.
01Traffic monitoring & optimisation
02Accident detection & response
03Crowd management
04Public-safety alerting
LE-02
02 / 05Sector
Law Enforcement
Cut time from event to evidence to action.
01Real-time suspect tracking
02Vehicle identification
03Incident detection
04Rapid response coordination
CI-03
03 / 05Sector
Critical Infrastructure
Perimeters that detect intent, not just motion.
01Perimeter security
02Intrusion detection
03Operational monitoring
04Risk prediction
IE-04
04 / 05Sector
Industrial & Enterprise
Safety, uptime, and output — in a single view.
01Worker-safety monitoring
02Equipment anomaly detection
03Process optimisation
04Incident alerts
DB-05
05 / 05Sector
Defense & Border Security
Sovereign intelligence across wide, contested theatres.
01Wide-area surveillance
02Multi-sensor fusion
03Autonomous response
04Threat assessment
One platform · Every theatre
The same runtime that protects a city junction also protects a border outpost. Configuration changes — not the platform.
Smart Cities · Law Enforcement · Critical Infra · Industrial · Defense
§07/ 09Workflow · Traffic Incident
End-to-end · 5.0 sTrace · TRC-7711
Detection
to dispatch, < 5 s.
A real trace of a traffic-incident response. Every step is auditable, reproducible, and measured in milliseconds.
T+01s2s3s4s5s · RESOLVED
S-01T+0s
Camera detects
Unusual vehicle behaviour on a city arterial.
step 1 / 5
S-02< 20 ms
Edge AI flags
Anomaly flagged at the device with ultra-low latency.
step 2 / 5
S-03< 1 s
Central AI confirms
Cross-references multi-feed context, confirms accident.
step 3 / 5
S-04< 3 s
IRIS responds
Alerts traffic control and adjusts nearby signals automatically.
step 4 / 5
S-05< 5 s
Dispatch triggered
Emergency services dispatched to the exact coordinates.
step 5 / 5
Full response completed in under 5 seconds
Trace · TRC-7711 · verified§08/ 09Hardware · MBX-01
Edge compute deviceSpec · HW-MBX-01
§Hardware · MBX-01 · Rev 4
Magic Box.
IRIS compute · deployed at the edge
A proprietary hardware unit that brings IRIS intelligence directly to the source — running AI models locally, processing data securely, and operating continuously even without connectivity.
01 / 04
Compute
Local AI · multi-model
02 / 04
Network
Offline-first · air-gap ok
03 / 04
Bandwidth
< 5% upstream
04 / 04
Security
Sovereign · on-prem
Deployable at3 · vectors
01
Camera Level
Directly alongside cameras for instant frame-to-insight at the source.
02
Control Rooms
Central command stations for aggregated intelligence and coordinated response.
03
Field Locations
Remote and mobile deployments where connectivity is limited or unavailable.
Model · MBX-01Rev · 04.25
IP · 65 · fanlessPwr · redundantClass · commercial
Frequently Asked Questions
Everything you need to know about the IRIS platform