We work with you define the types of analytics results and alerts to be delivered. Together, we specify the information to be extracted from the available data. Insights are available for different time scales (seconds, minutes, hours, days, months or years) and from multiple data sources (such as equipment overheating combined with the quality of the power in your grid).
The results can be integrated with your existing IT components or custom visualization and alarming can be delivered directly to your device of choice.
Our solutions are based on powerful, state of the art, open source components and technologies. The solutions use the Node.js runtime with the right selection of modules to reach the desired outcome.
The analytics use the QMiner Node.js component. QMiner is an open source data analytics platform for processing large-scale real-time streams containing structured and unstructured data. It can be deployed on an embedded gateway, proprietary server or in the cloud and easily scales to millions of requests and data points per day.
Lightweight and efficient event-driven, non-blocking I/O model.
C++ core implementation.
Techniques for supervised, unsupervised and active learning on streams of data.
Rich feature vector extraction from data streams.
Robust data importing, normalization, re-sampling, merging and enrichment functionality.
Indexing, querying and aggregating structured, unstructured and geospatial data using a simple query language.
Ready to start your next project with us? That's great! Give us a call or send us an email and we will get back to you as soon as possible!
+386 (0)31 819 000
+386 (0)599 62 845
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