
The Czech startup Neuron soundware develops technology for automated predictive maintenance of industry machinery. Using sound/vibration analysis of the machines, the technology enables it to detect imminent failures that would mean costly repairs and production outages. The technology is based on the combination of artificial intelligence built on neural networks and machine learning, and IoT device nBox, which is receiving and processing the data from sensors. The Neuron soundware technology is being used by clients in their operations all over the world from the Prague Public Transport Company to the manufacturer of semiconductors in Malaysia.

We developed a diagnostic technology for early detection of broken machines. Humans are frequently used during the quality controls of air-conditioning, gearbox, etc. We can automate the analysis using our digital brain, which emulates auditory cortex. We focus on the early detection and prediction of mechanical malfunction on any machinery. The unique pre-processing of the input data allows the neural network to learn and identify the important features quickly with high confidence.

Neuron Soundware is a company that specializes in developing artificial intelligence solutions for sound monitoring and analysis. Their technology is designed to detect anomalies in machines and equipment by analyzing acoustic data, helping to predict and prevent mechanical failures. This proactive approach to maintenance can enhance operational efficiency and reduce downtime. Neuron Soundware's innovative solutions find applications across various industries, including manufacturing, transportation, and energy, where reliable equipment performance is critical.