Industrial AI
What does a developing problem sound like?
Machinery and industrial processes produce characteristic acoustic signatures during normal operation. When something changes, the sound can change too.
Acoustic AI provides another way of identifying those changes - potentially revealing information that can support maintenance, diagnostics and operational decision-making.
We start with the problem, not the technology.
Machines are constantly producing information.
Motors. Pumps. Bearings. Fans. Compressors. Valves.
Maintenance teams already use a combination of inspections, vibration analysis, thermal imaging, process data and engineering experience to understand asset condition.
Each method provides a different view of equipment health.
Every operating asset creates sound. Changes in load, condition, wear or process behaviour can alter that acoustic signature.
The question is whether those changes contain useful, repeatable information. That's where acoustic AI can help.
The Acoustic AI Solution
Continuous acoustic monitoring across your asset base.
Our industrial diagnostic solution, powered by Deeply AI, deploys acoustic sensors at selected monitoring points across your facility.
The system establishes an acoustic profile for monitored equipment and analyses subsequent operation for relevant changes and anomalies.
When a configured anomaly is detected, information can be provided to your maintenance team for investigation and, where appropriate, integrated into existing maintenance workflows.
No production downtime during installation. No new processes for maintenance engineers. Integration with existing CMMS platforms supported.
Hyundai Motor Group deployment
Deeply AI reports 99.87% classification accuracy in a live Hyundai Motor Group production application operating in 85dB+ environments.
Performance relates to the specific application and deployment conditions.
Edge Processing
All AI classification runs on the sensor itself. No data leaves your site. No network dependency. No latency.
Real-Time Alerting
Instant notification to your maintenance team with asset ID, anomaly classification, and severity level.
Earlier Awareness
Continuous acoustic monitoring can identify changes in an asset's normal operating signature and alert maintenance teams when further investigation may be warranted.
Multiple environments, one proven solution.
-
Bearings, motors, fans, compressors and pump assemblies all produce characteristic acoustic signatures during operation.
Continuous acoustic monitoring can identify deviations from established operating behaviour, giving maintenance teams an additional indication that investigation may be required.
-
Defective fastening produces a measurable acoustic signature. Proven at Hyundai Motor Group scale — 99.87% accuracy on live production lines in 85dB+ environments.
-
Cavitation, pressure surges, blockages, and leaks in pipework, valve assemblies, and fluid systems. Continuous monitoring without physical intervention or production interruption.
-
Real-time AI analysis during scheduled walkthroughs. Engineers receive objective acoustic assessment of every asset they inspect — building a data-driven maintenance record alongside existing processes.
-
HVAC, cooling systems, electrical switchgear, structural load-bearing elements. Any asset with a mechanical signature can be monitored continuously.
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.