Industrial Diagnostics

Acoustic diagnostics for predictive maintenance.

Unplanned downtime is a significant cost. Our acoustic AI monitors your critical assets continuously — detecting early failure signatures before breakdown occurs, so your team can intervene on their terms.

Every unplanned stoppage is preceded by a sound.

Rotating equipment, assembly lines, process pipework, and plant infrastructure all produce measurable acoustic change as components approach failure. That change typically occurs weeks before a thermal, visual, or vibration indicator registers.

Traditional condition monitoring is reactive by design. Scheduled inspections miss the window. Vibration sensors confirm what has already changed. Thermal imaging requires physical access.

Acoustic AI operates continuously, without intervention, across your entire monitored asset base — alerting your maintenance team to anomalies before they become failures.

The Acoustic AI Solution

Continuous acoustic monitoring of your asset base.

Our industrial diagnostic solution, powered by Deeply AI, deploys acoustic sensors at key monitoring points across your facility. The AI establishes a baseline acoustic profile for each asset, then monitors continuously for deviation — classifying anomalies by type and severity and alerting your maintenance team in real time.

No production downtime during installation. No new processes for maintenance engineers. Integration with existing CMMS platforms supported. Powered by the same platform deployed across Hyundai Motor Group's production lines in South Korea and Mexico — 99.87% accuracy in continuous 85dB+ operating environments.

Where our technology works

  • Mobile diagnostic units for engineer support

  • Fixed position microphones for specific machinery 24/7 monitoring

Proven on an industrial scale

Hyundai Motor Group Full integration into live mass-production assembly lines in South Korea and Mexico. 99.87% detection accuracy. Continuous 85dB+ environments. Zero downtime integration. Korail & Incheon Transit Corporation Live deployment across South Korean rail infrastructure. Trackway structural anomaly detection and safety-critical acoustic monitoring in active transit networks.

The Process

Site Assessment

1

Asset identification, risk prioritisation, and deployment planning. We map your highest-value monitoring targets and design the sensor configuration.


Installation

2

Sensor installation at agreed monitoring points. No rewiring, no production interruption and completed within a standard maintenance window.


Baseline

3

The AI establishes a normal acoustic profile for each monitored asset, which takes typically 24–72 hours. No manual configuration required.


Monitoring

4

Live alerts to your maintenance team when anomalies are detected — asset ID, anomaly classification, and severity. Integrated with your existing workflow.


Analysis

5

Cumulative acoustic data builds a maintenance intelligence record for each asset — supporting planned maintenance scheduling and long-term reliability planning.