Automation & field systems
Schneider ElectricSiemensWAGOPhoenix Contact
Industrial RTLS, IoT localization & Digital Twin
Locate, monitor and optimize critical industrial assets.
Berlo helps industrial and logistics SMEs track tools, pallets, reusable containers, forklifts, mobile equipment and production flows using RTLS, UWB, BLE, RFID, GPS and operational dashboards.
Find tools, pallets, forklifts and work in progress faster
Measure movements, dwell time, zones and critical flows
Prove value on a limited scope before deployment
Asset Tracking
Tools, pallets, vehicles, reusable packaging and mobile equipment.
Learn moreOperational Visibility
Dashboards, zones, movement history, alerts and flow KPIs.
Learn more30-Day RTLS POC
A limited pilot to prove value before deployment.
Learn morefield visibility
Equipment, usage, energy and flows made readable
data-driven steering
Reliable indicators to decide and prioritize
measured value
Short proof of concept before industrial budget
right-sized
Realistic roadmap and partners when needed
Technology partners
Ecosystems Berlo can integrate with.
Technology comes after the value target: visibility, performance, energy, service quality, automation or scale-up.
Next-gen IoT platforms
Azure IoT OperationsAWS IoT SiteWiseSiemens Insights HubPTC ThingWorxHiveMQEMQX
Localization & tracking
RTLSUWBBLEGPS/GNSSLoRaWANGeofencing
Data & supervision
GrafanaInfluxDBPower BINode-RED
Industrialization
DockerPythonAPIDocumentation
Berlo architecture
From field operations to business use, without unnecessary complexity.
Berlo designs the chain that connects your equipment, sensors, mobile assets and existing systems to useful deliverables: dashboards, Digital Twin, indoor/outdoor localization, supervision, business AI and an Industry 4.0 roadmap. The goal is not to stack tools, but to make data usable by teams.
Field sources
Sensors & meters
Temperature, energy, CO2, humidity, air quality.
Controllers & BMS
Modbus, OPC-UA, BACnet, APIs and existing histories.
Machines & lines
Production, cycles, states, stops and consumption.
Tags & mobile assets
Tools, vehicles, pallets, zones and indoor/outdoor presence.
Energy & buildings
PV, HVAC, metering, usage and site performance.
Business systems
ERP, CMMS, files, internal databases and reporting.
Berlo
IoT / Digital Twin
Connect
Choose protocols, gateways and APIs suited to the field.
Structure
Clean, store and contextualize the useful data.
Model
Link assets, usage, flows and indicators in a Digital Twin.
Steer
Deliver dashboards, relevant alerts and an Industry 4.0 roadmap.
What you get
Business dashboards
Performance, energy, quality of service and clear reporting.
Power BIGrafanaKPI
Operational Digital Twin
A shared view of equipment, data and usage.
AssetsFlowsSites
Indoor / outdoor localization
Asset tracking, geofencing, presence time and field flows.
RTLSUWBBLEGPS
IoT & cloud platforms
Target architecture, edge, cloud and durable building blocks.
AzureAWSMQTT
AI & automation
Agents, summaries, decision support and business workflows.
OpenAIAnthropicAPI
Security & scale-up
Access, sovereignty, operations and partners according to need.
A first measurable scope before discussing industrialization.
An architecture compatible with your maturity, constraints and partners.
An Industry 4.0 roadmap that remains realistic even with a small team.
Experience
Experience across demanding environments.
Our background covers industrial, energy, infrastructure, cloud and connected systems environments where data quality, reliability and traceability matter.
Utilities
IoT data collection and processing
Connected automotive
Cockpit, Android Auto, embedded AI agent
Aerospace
Algorithms, optimization and industrial data
Energy & microgrids
Energy use cases, analysis and solution scoping
Data centers
Innovation, energy optimization and digitalization
Cloud & technical environments
Cloud architecture, project tooling and test environments
Pragmatic Digital Twin
Give field data its business context.
An IoT platform collects data. The Digital Twin organizes it around equipment, usage, flows and business indicators. Industry 4.0 then uses this foundation to steer, optimize and automate progressively.
IoT platform
It collects, structures and stores data from sensors, controllers, gateways, APIs and existing systems.
Digital Twin
It connects data to assets, usage, flows and business context to create a shared field view.
Industry 4.0
It is the transformation path: measure better, steer better, automate progressively and scale when value is proven.
Pragmatic Digital Twin
A simple, readable digital twin focused on business value.
Not a spectacular mockup. An operational model that links assets, data and indicators to understand usage, compare performance and prioritize next actions.
Scope
Identify business use cases, expected gains, available data and transformation priorities.
Connect
Connect a first scope of equipment, sensors or existing systems with a lean architecture.
Visualize
Turn data into indicators, dashboards and readable Digital Twin views for teams.
Scale
Measure value, secure technical choices and prepare scale-up with the right partners.
Field visuals
Environments where IoT creates visibility.
Production, energy, technical buildings: the work starts by connecting the right data to understand, compare and steer.
Services
Diagnostic, 30-day RTLS POC and managed service.
Start with one asset family, zone or flow, prove value quickly, then scale the localization service only when the operating model is clear.
RTLS & asset tracking
Scoping and proof of concept for tracking tools, pallets, forklifts, reusable containers, mobile equipment and field flows with RTLS, UWB, BLE, RFID, GPS/GNSS or LoRaWAN.
Learn more30-day RTLS / IoT proof of concept
A limited pilot on a workshop, warehouse or production line to prove value before a wider deployment.
Learn moreField IoT diagnostic
Assessment of use cases, equipment, protocols, available data and the highest-value IoT opportunities.
Learn moreSupervision & dashboards
Decision-oriented dashboards for equipment, consumption, usage, performance, history and operational indicators.
Learn moreIoT / Industry 4.0 advisory
Technical scoping, cloud/edge trade-offs, IoT platform selection and partner coordination without unnecessary complexity.
Learn moreUse cases
IoT use cases with concrete operational benefits.
Technical buildings, production, energy, maintenance, asset localization: value comes from data that helps compare, automate, optimize or invest better.
Technical buildings
HVAC, BMS, metering, air quality, temperature, humidity and energy.
Improve visibility on comfort, usage and energy performance.
Manufacturing industry
Production monitoring, OEE, quality, consumption and machine performance.
Understand field performance and prioritize the right improvement levers.
Energy & photovoltaics
Production monitoring, reporting, site comparison and yield indicators.
Make energy gains measurable and operate production assets more effectively.
Indoor / outdoor asset tracking
Tools, pallets, forklifts, reusable containers, mobile equipment and critical zones.
Reduce field searches, measure dwell time and make operational flows more reliable.
Cold rooms & food operations
Temperature, humidity, traceability, product quality and condition monitoring.
Strengthen quality control and keep a usable historical record.
Industrial maintenance
Monitoring motors, pumps, compressors, vibrations and consumption.
Move from spot checks to a continuous view of assets and their actual use.
Method
Start from usage, measure value, scale afterwards.
A deliberately focused approach for SMEs: prioritized use cases, lean architecture, measurable proof of concept and realistic roadmap.
1Inventory equipment and protocols
2Select priority use cases
3Connect a first scope
4Dashboards and business indicators
5Value measurement and roadmap
Technologies
Technologies selected to last in the field.
MQTTModbusOPC-UALoRaWANRTLSUWBBLE beaconsRFIDGPS / GNSSAzure IoT HubAWS IoT CoreGrafana
Diagnostic
Let's start with your use cases, data and expected gains.
In 30 minutes, we clarify business goals, equipment involved, available data, technical constraints and the first IoT use case to test.
Value-driven business use case
Available data and sources to connect
Expected gains and success indicators
Network, security and operating constraints