Request a demo
Please, input the following information
Maximizing equipment performance with minimal effort
The Easiest Predictive Maintenance Based on AI Sound Analysis
Request a demo
Please, input the following information
The Easiest Predictive Maintenance Based on AI Sound Analysis
Request a demo
The average cost of lost revenue, financial penalties, idle staff time, and restarting lines. On average, large plants lose 312 production hours a year
or $172M annually per plant
Losses of Fortune Global 500 industrial organizations due to unplanned downtime
Improve efficiency
Reduce downtime
Stay competetive
reduction in maintenance cost
increase of productivity
accuracy
emission
Zero initial investment for pilot implementation
Easy usage without hardware only mobile app needed
Using AI and ML, cloud portal, real-time
Scalable to all elecrtical motors
Automatically set-up new customer / new model
User app for smartphone only needed
Install the Di-agnostics app on your smartphone to capture the sound emitted by the operating equipment
The captured sound data will seamlessly transfer to the cloud infrastructure or processed at the edge
Our advanced AI algorithms leverage a vast dataset of industrial equipment sounds and specific sound to analyze your data. The system functions as a streamlined data pipeline, facilitating effortless training
Within seconds engineers receive the equipment's condition status, detailed spectrogram analysis, and probable anomaly reason
Founder and Head of the All-Ukrainian Innovation Ecosystem "Sikorsky Challenge Ukraine"
Cut in maintenance cost
Productivity Increase
Agritech
Energy
Manufacturing
Mining
