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Industrial sensing & edge AI

Edge AI sensor system

An integrated hardware-to-dashboard system. Custom-built boards combine vibration, current and camera sensing with local edge AI for machine health monitoring and industrial inspection.

Discuss your application
Industrial edge gateway with a black finned enclosure and front-facing Ethernet, USB and HDMI connections
Industrial edge gatewayThe hardware behind the intelligence.
Industrial gateway hardware with a finned metal enclosure, terminal connections and a green connector
Gateway hardwareConnection-side view of the supplied gateway hardware.

The gateway

A local connection between machines, sensing and your platform.

The gateway connects the sensing and software layers of the Controlable system. It supports the path from machine data to local analysis and useful information for operations and maintenance teams.

Gateway hardware and connections are selected for the deployment. Talk to us about the machine interfaces, sensing and installation requirements for your application.

Discuss your application

Hardware capabilities

Machine signals, one integrated system

Controlable vibration sensor housing with a connector

Vibration Analysis

Continuous structural and mechanical monitoring to detect anomalies before they cause downtime.

Current Measurement

High-frequency electrical signature analysis to monitor load, power quality, and machine health.

Vision & Camera

Optical inspection and spatial tracking integrated into the edge pipeline.

From data to insight

From raw data to edge intelligence

Collect representative machine data, train a model and deploy it locally. Relevant events become useful information for operations and maintenance teams.

From machine to insight
Edge processing · logical functions
  1. 01

    Sources

    Machines, sensors, cameras and events

  2. 02

    Edge nodes

    Capture data close to the line

  3. 03

    Edge gateway

    Process and buffer

  4. 04

    Edge AI runtime

    Analyse and detect

  5. 05

    Intelligence layers

    Condition, process, energy and packaging

  6. 06

    Central platform

    Visualise and act

Example outputs

  • Alerts
  • Audit trail
  • Trend analysis
  • Reporting
  • Site overview

System architecture / On-premise by designIllustrative architecture. Gateway and runtime are logical functions, not necessarily separate devices. Hardware, hosting, interfaces and output availability are defined per application.

  1. 01

    Raw Data Capture

    Raw sensor data is collected through the gateway to build a dataset for your machines and operating environment.

  2. 02

    Model Training

    AI models are trained for the relevant machines and operating conditions.

  3. 03

    Local Edge AI

    The trained model is deployed to the device, where it analyses data locally.

  4. 04

    Smart Alerts

    Relevant events, alerts and model outputs are transmitted, limiting the need to transfer raw data continuously.

Controlable

Get Involved

Explore pilots, partnerships and early access

Contact Us

We are currently working with launching customers and industrial partners to bring a new edge-native intelligence layer into real industrial environments.

Get in touch to discuss an industrial pilot, a partnership or integration with your existing systems.

The core platform — smart sensing, edge intelligence and software — is operational and moving into structured industrial deployment in heavy industry. A phased rollout path has been aligned, with broader site expansion in scope.

Our focus is now on:

  • Field validation in production environments
  • Refinement based on operational data
  • Scaling towards broader industrial deployment
andre@controlable.ai