We are bringing innovations in the areas of :
revolutionary predictive maintenance
Our device would be monitoring the sounds and other parameters of the machine and would use probabilistic methods to determine the risk of an outage of each individual device. That would revolutionize the meaning of the predictive maintenance – instead of using statistical methods, it would be individualized monitoring.
Real-time mechanical issue detection
Neuron soundware is an innovative digitization and analytic platform that enables manufacturers to check their critical machinery using sound it makes. The integrated hardware and software platform automatically gathers sound of machines in real time and continuously assess the equipment health.
remote equipment diagnostics
The lack of a preventive maintenance increases the risk of costly unplanned downtime. The existing old and even modern computer-controlled equipment doesn’t provide effective monitoring of mechanical malfunctions. In industry, sound and vibration seem to be the simplest method of diagnostics of mechanical malfunction.
About our technology
We use artificial intelligence methods to gain understanding of audio signals.
Neuron soundware has developed a diagnostic technology which provides an early detection of broken machines. Humans are frequently used during the quality controls of air-conditioning, gearbox, etc. A sound of the car engine indicate the root of issue to the serviceman. We can automate the analysis using our digital brain, which emulates auditory cortex.
Neuron soundware technology focuses on the early detection and prediction of mechanical malfunction of machinery in manufacturing industry. The unique pre-processing of the input data via complex physical sensor model allows neural network to learn and identify the important features quickly with high confidence.
We can indentify 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 client.
We are proud that all customers stay with us. Unfortunately their lawyers like NDA.
How it all works?
Industry 4.0 solution - Make your factory smart using our IoT devices
Relatively cheap device would be monitoring the sounds and other parameters of the machine/engine and would use probabilistic methods to determine the risk of an outage of each individual device.
Meet the hearts and brains of our team :
In June 2016, Neuron soundware was selected as the best startup idea in the competiton Idea of the Year. We piloted the technology using a lot of different data-sets. Now we are working on the first commercial applications.
We are continuously improving our algorithm and working with our clients such as Deutsche Bahn to revolutionary predictive maintenance of mechanical malfunction. Make it individual, real-time and perfectly accurate.
Latest news of Neuron soundware
We are proud to say that we were nominated at Czech competition Křišťálová Lupa 2016 (http://kristalova.lupa.cz/2016/nominovane-projekty/), which is a contest that appreciates the most favourite or interesting projects and services on the internet. We were nominated in the section “Czech projects with global ambitions”, in which we compete with such a great and successful projects and[…]
Czech online magazine ČIN (ceskainovace.cz) about innovations in Czech Republic released an interview with our CEO Pavel Konečný. If you are wondering about where the idea about Neuron Software originates, where is the innovation in our solution, what was the hardest thing in working on his own project or who inspires him, you can read this interview[…]
We were chosen as one of the six tech startups working on innovative hardware or software solutions to mindbox program. We are happy to say that our cooperation with Deutsche Bahn is starting. We will be working with DB from this October until the end of January 2017. We will help them with the maintaince of[…]
We were in Silicon Valley! We have presented technologies to potential partners and investors at TechCrunch Disrupt conference in San Francisco in September 2016.
The technology allows to diagnose and predict the technical problems in heavy machinery, car engines, turbines or air conditioning systems among much else. That allows to optimize operation via more effective predictive maintenance and real-time anomalies detection. The algorithms can run on on-board computation unit or can be directly integrated into the machines. That is[…]