Predictive Maintenance and Condition Monitoring
We analyze measurement data, sensor data and time series to detect degradation, anomalies and failures early.
Levata develops data-driven AI solutions for industrial applications, research and companies. We combine machine learning, signal processing, data analytics, radio-based localization and domain knowledge so models are not only accurate, but practical to deploy.
We analyze measurement data, sensor data and time series to detect degradation, anomalies and failures early.
From data preparation through classification and regression to hybrid models, we support the full path to productive AI applications.
We develop localization and sensor-fusion methods for radar, ultra-wideband (UWB), wireless signals and similar radio technologies to robustly estimate position, movement and surroundings.
We optimize AI models for resource-constrained hardware and industrial systems.