Wel - Brainy Logo - IoT

the solution that allows you to manage relationships with your products

Wel - Cycle Reports
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production

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Detection of anomalies within your production process

Production costs reduction

Information on the processes progress

Differentiation from competitors

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logistics

Optimization planning

Integrity monitoring during transportation

Geo-Localization

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Real-time traceability

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customer support

Improve customer satisfaction

More effective interaction with the environment and the users

Enable continuous monitor to enable fast response to events and faults

Enable remote diagnostics and predictive maintenance

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BIG-DATA

Product life cycle optimization

Usage analysis

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Analysis of collected data throughout the supply chain

Data aggregation sourced from various and independent systems

BRAINY BOARD

The Brainy board is the hardware designed and manufactured by WEL that allows creating the link between manufacturing, connected products, customers and supply chain.
LOW UNIT COST
Designed to be produced in large-scale volumes, developed on our customers requirements.
CONNECTION COVERAGE
Short and long-range networks, mobile networks and home networks (Bluetooth/BLE,
WiFi, LoRa, SigFox, 2G/3G, LTE).
IOT RETROFIT
Changes to product’s electronics are not necessary, easy integration.
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LOW POWER
It includes all the necessary features while maintaining a low energy consumption.
FIRMWARE UPDATE
Remote firmware update for both the connected products and the brainy board to allow unlimited development of new features and easy maintenance.
AI READY
Designed to learn from the product daily use to make it even smarter.

BRAINY – THE PLATFORM

The Brainy platform enables the interaction with products, the monitoring of their status and behaviour.

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Simple to use

Enabled to easy integration of third-party applications

Developed for the Cloud

Multiuser, flexible and designed for all players of the supply chain

A SINGLE TOOL
FOR ALL BUSINESS ANALYSIS ACTIVITIES:

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Descriptive Analysis
Actual operational framework and use of the product: condition monitoring, alerts and remote control.
Diagnostic Analysis
The product and its operation knowledge base allows the real time identification of the causes of unexpected behaviour.
Predictive Analysis
Based on continuous data analysis, predictive models and machine learning technologies, it is possible to predict the product behaviours and plan in advance for maintenance interventions.
Prescriptive Analysis
Once the machine states are defined it is possible to adapt its functioning avoiding unwanted behaviours and transforming in an intelligent product.