01MQTT · HTTP · Queues
Ingestion
Receive messages and absorb changing load.
Service · IoT systems
From equipment to operational decisions.
We build the software layer that receives, structures and uses field data in your applications and processes.
01Device data02Monitoring03Automation
The starting point
Collecting data does not make it useful.
Protocols, quality, context, history and reactions need to form a reliable system. We connect technical events to the needs of teams.
Capabilities
An end-to-end data chain.
We focus on software, exchanges and use cases; hardware is integrated through appropriate partners or interfaces.
02Schemas · Validation · Enrichment
Normalisation
Turn raw data into understandable events.
03Registry · State · Versions
Device management
Identify, configure and monitor the connected estate.
04Dashboards · Alerts · History
Monitoring
Present status, measures and anomalies to the right teams.
05Events · Rules · Actions
Automation
Trigger actions and workflows through controlled rules.
06APIs · Webhooks · Synchronisation
Business integrations
Send useful data to ERP, support or customer applications.
Approach
Start with the decision the data should support.
We first define what a measure should help understand or trigger, then design the technical chain needed.
- 01
Define
Events, frequency, quality and use.
- 02
Connect
Devices, platform and business systems.
- 03
Operate
Alerts, interfaces, actions and maintenance.
Control points
Useful field data should be
- Linked to the right device and context
- Validated before use
- Available to the right roles
- Retained for a clear purpose
Service · IoT systems
Discuss your IoT systemWhat should your field data enable?
Tell us about the equipment, available events and expected decisions.
