An AI and ML-powered monitoring solution using acoustic emissions to optimize industrial machine performance, enhancing productivity and reducing maintenance through predictive insights.
€40K/hour
of companies costs are due to downtime
Companies face unexpected downtime, with 80% experiencing unplanned outages annually, resulting in $35 billion in losses.
Reactive maintenance practices contribute to about 30% of total maintenance costs. Only 20% of industrial machinery is digitized, leading to inefficiencies and increased operational costs, causing energy wastage.
NeuronSW employs AI and machine learning for 24/7 monitoring and control of power equipment.
Their technology integrates structure-borne sensors, microphones, and IoT devices, enabling real-time data sensing. The web-based application provides analysis, alerts, and aids in decision-making.
60%
reduction in breakdowns
Neuron Soundware’s AI-driven solution empowers industries to transition from reactive to predictive maintenance, leading to substantial reductions in operational costs and environmental impact.
By optimizing equipment performance and energy usage, the solution contributes to significant CO2 emissions reductions, helping companies align with sustainability goals.
Neuron Soundware’s technology provides an advanced alternative to traditional monitoring and reactive maintenance by combining AI, ML, and IoT hardware for real-time data collection and processing.
This plug-and-play system integrates easily into existing operations, offering 24/7 remote access to prevent breakdowns, optimize processes, and reduce downtime, costs, and carbon emissions.
Sandbox Program
Batch #9
HQ Country
Czech Republic
Area
Manufacturing
Industry
IT Services & IT Consulting
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