Acoustic Anomaly Detection
Learns normal machine sound profiles and detects deviations in real time with severity-based alerting.
First product from Unbox Engine
IndusAudio
IndusAudio is an audio-based AI preventive maintenance product that listens for subtle equipment behavior changes and flags early fault signatures before failures become costly downtime.
Audio AI for proactive maintenance teams
Capabilities
What IndusAudio delivers on the plant floor
Fault Pattern Classification
Identifies likely fault classes such as bearing wear, misalignment, looseness, cavitation, and friction.
Risk-Based Prioritization
Ranks maintenance events by production impact so teams act first on high-risk assets.
Workflow
From audio capture to maintenance action
Capture
Acquire audio streams from edge microphones or acoustic sensors.
Analyze
Extract spectral signatures and infer machine state anomalies.
Alert
Generate explainable alerts with confidence and urgency scores.
Act
Trigger preventive work orders before failure and unplanned stoppage.
Industry fit
Ideal for sound-rich industrial operations
Manufacturing Lines
Detect drive-train and rotating equipment degradation early.
Process Industries
Monitor pumps, valves, and flow systems for acoustic shifts.
Utility Infrastructure
Track compressor and fan health for uptime and energy stability.
Start with IndusAudio in your facility.
Pilot audio-based AI preventive maintenance on your critical assets and validate downtime reduction in weeks.
Request an IndusAudio demo
Tell us about your equipment mix. You can optionally include preferred meeting details.
Product FAQs
Frequently asked questions about IndusAudio
What is IndusAudio?
IndusAudio is an AI acoustic monitoring product from Unbox Engine built for predictive maintenance and early machine fault detection.
Which assets does IndusAudio support?
IndusAudio is designed for motors, pumps, fans, compressors, and other rotating equipment in industrial environments.
Can IndusAudio be deployed locally for data privacy?
Yes. IndusAudio supports private deployments with edge and on-prem options so sensitive operational data stays under your control.
How does IndusAudio help predictive maintenance teams?
It detects acoustic anomalies early, classifies likely fault patterns, and prioritizes alerts by operational risk.
How fast can teams pilot IndusAudio?
Most pilots start with a focused asset group and can validate early fault detection outcomes within weeks.
How can I request an IndusAudio demo?
Use the contact form on this page to submit your asset details and request a tailored demo.