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Industrial IoT (IIoT)

See downtime before it happens.

Connect the factory floor — PLCs, SCADA and machines that were never meant to talk.

Your machines already know when they’re struggling — the data just never leaves the shop floor. We connect PLCs, SCADA and industrial equipment over their own protocols, bring legacy machines online with edge gateways, and turn cycle, downtime and sensor data into something your team can act on — so you catch failures before they stop the line.

Gérons ensemble Ouvrir Kanban
An industrial IoT dashboard showing live machine telemetry from the factory floor

01 / What it gives you

Turn the factory floor into data you can act on.

01

Read the machines you already run

We talk to your existing PLCs and SCADA over their native protocols — no rip-and-replace of equipment that already works.

02

Machines that never spoke, now talking

Modbus, OPC-UA, CAN and more, normalised into one stream — mixed vendors and decades of kit on a single platform.

03

Bring legacy equipment online

Edge gateways collect and buffer on site, so a machine from the 1990s shows up next to the one you bought last year.

04

Catch failures before they stop the line

OEE, downtime and anomaly detection from live data — you see a machine drifting out of spec before it breaks.

02 / Stack

La technologie avec laquelle nous construisons.

Standard du secteur, ennuyeux dans le bon sens : des outils d’avenir, que le prochain ingénieur connaîtra aussi.

Protocols & fieldbus

  • Modbus

    Serial and TCP device polling

  • OPC-UA

    Secure, modelled machine data

  • MQTT Sparkplug

    Lightweight, stateful plant telemetry

  • PROFINET

    Real-time industrial Ethernet

Edge & integration

  • Edge gateways

    On-site collection for legacy machines

  • Node-RED

    Visual flows to wire up and transform data

  • Ignition

    SCADA and plant connectivity at scale

  • Kepware

    Industrial connectivity across mixed hardware

Data & monitoring

  • TimescaleDB

    Time-series machine history at plant scale

  • Grafana

    Live OEE and downtime dashboards

  • Anomaly detection

    Flag drift before it becomes a fault

  • Python & ML models

    Predictive maintenance on your own data

03 / Approche

Comment nous construisons des choses qui durent.

01

Meet the machines where they are

We read your existing PLCs and SCADA over their own protocols, so you don’t replace equipment that already runs the line.

02

Edge-first, cloud-optional

Gateways collect and buffer on site, so a dropped link never loses a reading and production never waits on the cloud.

03

Measure what the line actually does

OEE, downtime and cycle data straight from the source, so the numbers match the shop floor instead of a guess.

04

Keep OT safe from IT

Read-only taps and segmented networks protect production while the data still flows out to where you can use it.

04 / Standards

Les bonnes pratiques que nous ne négligeons pas.

Nous respectons les standards du secteur et des méthodes éprouvées sur chaque projet — c’est ce qui fait tenir le devis.

  • Read machines over their native protocols — no rip-and-replace
  • Buffer at the edge so a dropped link never loses a reading
  • Keep OT and IT on segmented networks
  • Prefer read-only taps so monitoring can’t stall the line
  • Model machine data once with OPC-UA, so every tool agrees
  • Set time-series retention and downsampling up front
  • Baseline normal before you alert on anomalies
  • Track OEE and downtime from the source, not from paper

05 / Infrastructure

Où ça tourne, et comment ça reste en ligne.

  • Edge gateways bridging Modbus, OPC-UA and CAN to the cloud
  • Time-series storage with retention for machine history
  • Grafana OEE and downtime dashboards your line owns
  • Anomaly detection and alerts for predictive maintenance

Start

Ready to see your downtime before it happens?

Tell us what’s on your factory floor and what you wish you could see. A senior engineer — not a sales rep — writes back.

Let’s manage IoT platform & cloud