2016
- founded by Pavel Konečný in Prague
- accelerated by Startup Yard Prague
- named “Idea of the Year 2016” in the Czech Republic for solution combining AI and IoT
About the Company
35
employees
4
years on the market
€6+ Million
funding raised
Protecting your machines and your business
We enable you to operate your machines more efficiently and sustainably. Our powerful AI and industrial IoT solutions analyze sound patterns, so potential mechanical failures can be detected early. We chose to specialize in sound processing because the sound analysis is a simple, universal, and reliable method of machine health diagnosis.
Look at our journey
2017
- € 600,000 investment by J&T Ventures
- featured in Forbes Next
- accelerated by Airbus BizLab in Hamburg
2018
- classified as “Cool Vendor in Acoustic Technologies for Predictive Maintenance” by Gartner
- won 3rd place in the CEE startup competition PowerUp! by InnoEnergy
- Accelerated by SAP Industry 4.0 Program in Berlin
2019
- € 5.75 million raised from investment funds – Inven Capital (ČEZ Group) and Lead Ventures (MOL Group)
- joined the ESA BIC Center in Prague
- awarded as the Best AI Startup in Czechia, the Best IoT Startup in Central Europe in the Central European Startup Awards Competition.
Latest news
How we predict machine failures with machine learning algorithms
Production is at the height of automation today, yet wear and tear on the mechanical parts of production equipment can cause production to be suspended on one or more downstream machines. Monitoring t
Read more >
Neuron soundware predictive maintenance protects gearbox production
Our goal in working with this recognised European automotive manufacturer was to keep gearbox production on target and avoid unplanned failures in the helium compressor, a critical production line com
Read more >
Prague public transport chooses Neuron soundware for predictive escalator maintenance
DPP, Prague’s public transport company, has begun working with Neuron soundware, a leading Czech tech firm in Industry 4.0, on predictive maintenance for escalators. The project involves the conti
Read more >