Anominer — cloud service for analysing outliers in sensor data

Anominer is a system for detection and tracking of temporal changes and deviations from the normal behavior of a process. This service is offered in the form of a cloud application, making it a versatile, location-independent tool for the automatic analysis of sensor data.

Anominer accepts data from multiple sensors and provides the result to the process to be monitored. The algorithms implemented in Anominer are able to detect early outliers and anomalies, and thereby reduces downtime and scrap goods.

A special feature of Anominer is the automatic learning of the normal behavior. This allows easy configuration of the monitoring of complex dynamic processes. Anominer is capable of early detection of outliers and anomalies. In addition, short-term outlier can also be compensated and instead undisturbed, corrected measurements are sent to the process.

Anominer can be used for checking the correct functionality, troubleshooting, early detection of impending problems and in particular the diagnosis of modern, automated machinery and equipment. An application secenario is the observation and monitoring of the acoustic signature, for example, wind turbines. Through specific analysis hidden faults can be recogized early and appropriate maintenance measures can be initiated. This ensures a high product quality and thereby the competitiveness of your company.

Anominer can be easily integrated into your existing processes. The service can be run on Knowtion servers or in a private cloud environment under your complete control. By means of cloud technology the algorithms of Knowtion are available anytime and anywhere.

Anominer allows the processing of data from many sensors in real time, opening up new possibilities in the design and installation of sensor networks, such as the observation, monitoring and surveying wide-range physical processes. As the cloud application is less expensive than a custom software solution, this innovative service can also be offered to small and medium enterprises.

  • With Anominer you recognize discrepancies and anomalies earlier, automatic, and more comprehensive and thereby prevent undesirable developments of your process.

  • In the development, operation, testing and maintenance Anominer can continually improve your processes for quality assurance and make it more efficient.

  • Since Anominer is able to process sensor data fully automatic, you can perform even complex measurement reviews without resources and manpower.

Anominer is being developed as part of a ZIM cooperation project together with the Intelligent Sensor-Actuator-Systems Laboratory (ISAS) at the Karlsruhe Institute of Technology (KIT). This project is funded by the Federal Ministry of Economics and Technology based on a decision of the German Bundestag.


Knowtion was founded in 2011. Our highly qualified team members have been active for more than eight years in the research and develop- ment of algorithms for sensor fusion and automatic data analysis and have successfully used them in a variety of client projects.


With our expertise we can help you to deduce more information from your data and get a better basis for assessments and forecasts. Your product will be more reliable and accurate, so you gain a competitive advantage over your competitors.


We have profound understanding and expertise in the field of sensor fusion and automatic data analysis. We are familiar with stochastic estimation theory, information fusion, machine learning, neural network and fuzzy logic.


Knowtion UG
home Pfinztalstraße 90
D-76227 Karlsruhe
speech+49 721 486 995-10

Scroll to top