We use AI methods to understanding audio signals
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.
We can identify the mechanical issues using a few seconds of the sound with more than 99.95% accuracy.
LARGE DATA SET
We have processed 1.5 TB of training audio data for one of our clients.
We are proud that all customers stay with us. Unfortunately their lawyers like NDA.
We are bringing innovations in the areas of:
We monitor the sounds and other parameters of the machine and use probabilistic methods to determine the risk of an outage of each individual device. That’s the revolution of the predictive maintenance – individualized monitoring.
Innovative digitization and analytic platform that enables manufacturers to check their critical machinery. The integrated hardware and software platform automatically gathers data in real time and continuously assess the equipment health.
The lack of a preventive maintenance increases the risk of costly unplanned downtime. The existing equipment doesn’t provide effective monitoring of mechanical malfunctions. We believe sound analysis is the simplest method of malfunction diagnostics.
You’re looking at model NB.6
Our Neuron box is monitoring and recording the sounds and other parameters of the machine
Passing all data trough tailored deep neural network to determine the risk of an outage of each individual device
We detect unusual or anomalous behaviors in real-time, vizualize them and send notification to responsible person
Still confused? Check our video below
We are professionals
Our team consists of dedicated experts in IoT, Machine learning and also with experiences from the area of Genetic research on developing a unique way of processing the sound. We spent years of work and hours of computational power to develop our technology.
We are continuously improving our algorithm and working with our clients to improve the revolutionary predictive maintenance of mechanical malfunction. Make it individual, real-time and perfectly accurate.
The winner of the startup competition “Vodafone Idea of the Year 2016” has attracted investment from Prague-based J&T Ventures, as well as prominent early customers including Siemens. Pavel Konecny, Co-founder and CEO of Neuron Soundware, announced this week together...
Let’s get in touch
71-75 Shelton Street, Covent Garden
London WC2H 9JQ, ENGLAND
Bubenské nábřeží 306/13, Building 24 – Startup Market
170 04 Prague, Czech Republic
+420 604 182 351
This project has received funding from the European Union`s Horizon 2020 research and innovation programme under grant agreement No 808225.
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