WE RECOGNIZE

BROKEN MACHINES

USING SOUND

WE RECOGNIZE

BROKEN MACHINES

USING SOUND

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.

How does our solution work?

Sound Recording

Our nBox monitors and records the sounds and other parameters of the machine

Neural Network Training

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

We use cutting-edge IoT hardware and software

nBox – recording & edge computing device

Learn more about nBox

Visualization in dashboards

nCard – mobile recording gadget

Learn more about nCard

Still confused? Check out our video below

We are a highly experienced and customer-oriented 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 algorithms and working with our clients to improve the revolutionary predictive maintenance of mechanical malfunction. We make it individual, real-time and perfectly accurate.

See our solutions now

Latest news

Advancements in Edge AI are more important than what will come with 5G

By Pavel Konečný, CEO of Neuron soundware. We are only just understanding the advantages that can come with edge computing. Back in 2016, I visited CEBIT conference in Hannover. It was full of so called “smart” things which I did not find smart at all. This “smart”...

Neuron soundware raised €5.75 million investment from INVEN CAPITAL and LEAD VENTURES

INVEN CAPITAL and LEAD VENTURES expand to industry 4.0, investing in a progressive Czech start-up who is a leader in acoustic diagnostics of machines Czech start-up Neuron soundware raised 5.75 million Euros to further expand its business activities. ČEZ Group and MOL...

Hello Space! Neuron soundware has joined the ESA BIC Centre in Prague

On June 17, we kicked off our already third significant interaction with the aerospace industry in our three year company history. The European Space Agency’s Business Incubation Centre (ESA BIC) in Prague has selected Neuron soundware among five new companies to join...

Machines, Algorithms, and Sound: An Interview with Pavel Konecny, CEO of Neuron soundware

AI World magazine (David Slouka - DS) recently interviewed CEO and co-founder of Neuron soundware (Pavel Konecny - PK). Here is the Part 1 about who they are, what they do, and how they do it. DS: Please briefly introduce Neuron soundware - I know that you’re using...

“Machine Whisperer” Neuron soundware presents three world firsts at Hannover Messe

Hannover / Prague, 07 March 2019: The "machine whisperers" from Neuron soundware are back in time for Hannover Messe with three new products that they will be presenting at the world's most important industrial fair. After Neuron soundware presented its own AI-based...

nBox – The IoT recording & edge computing device

This standalone IoT recording & computing device can be installed to enable audio monitoring of any asset. Discover the abundant edge computing power that will give you the possibility to run complex machine learning models without a need to transfer data to cloud....

A New Microsite for Cogeneration Unit Predictive Maintenance Solution

We have monitored many cogeneration units with our technology in 2018. It makes a perfect sense for us to focus on this market even more as some of the current customers have acknowledged that on several failure occasions our solution helped them to: save several...

nCard, The Mobile Recording Gadget, Is Available Now

Neuron soundware is happy to introduce a new piece of HW, the nCard, a custom-designed shielded sound card that connects to a mobile phone and allows to make high-resolution audio recordings anytime, anywhere. Recording of broken machines has never been easier. We are...

Work & Travel Greece: The Neuron Soundware Experience

The “GREAT” idea If you are a startup you get plenty of possibilities how to enjoy work life in a somewhat different fashion. Getting away from daily office routine is certainly refreshing and motivating for any kind of team, and so it happened one day that our CEO...

Neuron Soundware Selected for SAP Industry 4.0 Startup Program

The startup, which recognizes machine problems by their sound, prevailed among 75 applicants The 6-week startup program will be concluded with a demo day on July 5 at SAP headquarters in Walldorf - representatives of the press are cordially invited...

Press Coverage