UA
Industrial IoT · Building OS

Infrastructure
management platform

One operational layer for buildings and distributed facilities — from field devices to analytics, automated scenarios, and team actions.

  • One platform for devices, systems, and data sources
  • Real-time events, scenarios, and response logic
  • Scale from one building to distributed sites
Discuss your projectView case studies →
5000+connected devices
10+years of engineering practice
24/7operational visibility
Works with your infrastructure
MQTTModbusBACnetONVIFREST APIVendor-independent
Context

IoT starts with devices. Value emerges through system management.

Sensors, controllers, meters, and local systems remain fragmented without one interaction model. They generate data but do not create coherent control.

AZIOT turns isolated nodes into an operational system for a building, facility, or distributed network.

Manufacturing
Equipment monitoring and event automation
Real Estate
Engineering systems, energy efficiency, and access
Logistics
Facilities, routes, and critical parameter control
Urban Infrastructure
Networks, resources, and distributed nodes
Healthcare
Conditions, equipment, and critical alerts
Security
Events, alarms, and response scenarios
40%of EU energy consumption comes from buildingsEuropean Commission
up to 30%of energy in commercial buildings is wasted by inefficient operationENERGY STAR
~80%of a building’s lifetime cost is operation, not constructionLifecycle studies
Solution

One platform instead of fragmented IoT tools

AZIOT unifies devices, communications, data, rules, and control interfaces into one manageable architecture.

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Unified platform core
Data, events, automation, and control
Flexible scenario model
Rules adapt to each facility
Centralized operational layer
One environment for data, states, and actions
Existing-system integration
The platform works on top of current infrastructure
Interactive Model

How AZIOT unifies engineering subsystems

Toggle groups directly or use the arrows to step through the model.

Active nodes in the model: 15 / 15
Level 3
Temperature / CO₂ Sensor
Zigbee
Lighting circuit
DALI
HVAC
Modbus
IP Camera
ONVIF
Leak Sensor
Modbus
Level 2
Media Hub
HDMI CEC
Temperature / Humidity
Zigbee
Access Control
Wiegand
Energy Meter
Modbus
Lighting
KNX
Level 1
Turnstile
2N
Video Intercom
SIP
Electric Power
Modbus
Water Supply
M-Bus
Fire Alarm
RS-485
Climate
Integrated into the shared monitoring, automation, and response model.
Security
Integrated into the shared monitoring, automation, and response model.
Energy
Integrated into the shared monitoring, automation, and response model.
Media
Integrated into the shared monitoring, automation, and response model.
One AZIOT platform · 15 nodes · 4 subsystems · 1 control model
Modelled outcomes

From an operational problem to a measurable target

Typical scenarios with an explicit problem, solution architecture, and realistic KPI target.

01
30%lower utility costs for common areas

Residential complex: common-area management

Lighting, ventilation, and heating followed fixed schedules regardless of occupancy and weather.

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02
22%less energy used for apartment climate

Apartment: climate without overheating or manual tuning

Underfloor heating, air conditioning, and radiators competed with each other, requiring constant manual adjustments.

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03
24%energy savings across HVAC and lighting

Shopping mall: engineering systems driven by actual footfall

HVAC and lighting ran at the same output during peak and off-peak hours while operators used separate interfaces.

Explore scenario ↗
Explore all scenarios →
Knowledge journal

IoT decisions with engineering context

Architecture, operational scenarios, protocols, and lessons connected to the AZIOT knowledge base.

All articles →
How we start

Three steps from audit to a managed network

No big-bang replacement: each step has a defined result before the next one begins.

Architecture session

We map your systems, critical events, operator roles, and integration constraints

Pilot on one site

We launch on real tasks, with the KPI and baseline fixed before the start

Scale-out

We replicate scenarios and connect new sites to one shared control model