Hear Problems Before They Happen
Acoustic AI that detects equipment failures days before breakdown—reducing downtime and keeping workers safe.
Challenges in
Industrial Maintenance
High ambient noise in industrial settings often obscures equipment faults, making manual detection unreliable. This issue is compounded by a dependence on reactive maintenance strategies that miss early degradation signals, leading to significantly higher costs due to unplanned downtime.
AI-Powered Acoustic Monitoring
SteadyBeat’s industrial solution combines advanced acoustic sensors, edge AI processing, and cloud analytics to provide comprehensive equipment health monitoring and predictive maintenance capabilities.
Edge AI SoC
Custom silicon that runs AI models locally—under 10W power, sub-10ms latency. No internet needed.
Multi-Modal AI
Fuses sound, vision, and sensor data into one intelligent system. Sees, hears, and understands context.
Superior Performance
Delivers real-time processing—no cloud dependency, no latency, maximum efficiency.
Key Benefits
1. Early Abnormality Detection
AI-powered acoustic monitoring continuously analyzes equipment sounds, detecting subtle changes that indicate bearing wear, misalignment, cavitation, or other developing issues—often weeks before failure.
Technical Achievement
Real-time spectral analysis with machine learning anomaly detection
2. Improved Worker Safety
Reducing ambient noise levels and providing early warning of equipment malfunctions creates a safer working environment, protecting workers from both acoustic hazards and mechanical failures.
Technical Achievement
Integrated noise monitoring and active noise control capabilities
3. Reduced Maintenance Costs
Transition from reactive to predictive maintenance reduces emergency repairs, extends equipment lifespan, and enables optimized maintenance scheduling during planned downtime.
Technical Achievement
Condition-based maintenance with predictive analytics
4. Operational Insights
Continuous acoustic monitoring provides valuable data on equipment performance, enabling process optimization and informed capital investment decisions.
Technical Achievement
Cloud-connected analytics with historical trending and reporting
Real-World Applications
See how our technology transforms maintenance in different industrial environments
Manufacturing Facilities
Situation
Production lines with rotating equipment (motors, pumps, compressors, conveyors) operate continuously, where unexpected failures cause costly production stoppages.
Solution
- Continuous acoustic analysis detects bearing wear, misalignment, and anomalies weeks before failure
- Enables scheduled maintenance during planned downtime instead of emergency repairs
- Real-time alerts provide actionable insights for maintenance teams
Outcome
Reduced unplanned downtime by 70%, extended equipment lifespan, and improved overall equipment effectiveness (OEE).
Chemical Processing Plants
Situation
Pumps, valves, and compressors in chemical plants operate in harsh environments where failures can have safety and environmental consequences.
Solution
- Edge AI-powered acoustic sensors monitor critical equipment 24/7
- Real-time detection of cavitation, valve leaks, and mechanical degradation
- Automated alerts sent to maintenance teams for immediate action
Outcome
Enhanced safety through early detection of potentially hazardous equipment conditions, reduced maintenance costs, and improved regulatory compliance.
Data Centers
Situation
Cooling systems, generators, and UPS equipment must operate reliably to prevent costly downtime and equipment damage.
Solution
- Acoustic monitoring provides early warning of fan failures and bearing issues
- Continuous surveillance of mission-critical infrastructure components
- Predictive maintenance scheduling reduces risk of catastrophic failures
Outcome
Improved uptime, reduced risk of catastrophic failures, and optimized maintenance scheduling.
Ready to Transform Your Maintenance Strategy?
Discover how SteadyBeat’s AI-powered acoustic monitoring can reduce downtime and maintenance costs.