We use AI methods to understand 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.
ACCURACY
We can identify the mechanical issues using a few seconds of the sound with high accuracy.
LARGE DATA SET
We have processed terabytes of training audio data for our clients.
OUR CUSTOMERS
We are proud that customers stay with us. Unfortunately their lawyers like NDA.
We are bringing innovations in the areas of:
#1
REVOLUTIONARY
PREDICTIVE MAINTENANCE
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.
#2
REAL-TIME
ANOMALY DETECTION
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.
#3
REMOTE
EQUIPMENT DIAGNOSTICS
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.
nBox – our new IoT recording & edge computing device
nCard – our new mobile recording gadget
How does the solution work?
Sound Recording
Our nBox monitors and records the sounds and other parameters of the machine
Neural Network
Passing all data through a tailored deep neural network to determine the risk of an outage of each individual device
Problem Detection
We detect unusual or anomalous behaviors in real-time, vizualize them and send notification to responsible person
Still confused? Check out our video below
Highly experienced and talented team
Our team consists of dedicated experts in IoT, machine learning and also with experience 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.
Latest news
Let’s get in touch
Headquarters
Okrová 946/18
142 00 Prague, Czech Republic
Our office
Bubenské nábřeží 306/13, Building 24 – Prague Startup Market
170 00 Prague, Czech Republic
CEO
pavel.konecny@neuronsw.com | +420 604 182 351
Head of Sales
jiri.cermak@neuronsw.com | +420 603 884 011
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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