Read our Technical White Paper
Building a Large Scale Machine Learning-Based Anomaly Detection System
Part 1: Design Principles
Anodot provides a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of data and turns them into valuable business insights. Analyzing the massive quantity of metrics generated by today’s businesses – manually or with traditional business intelligence tools – takes time and expertise. Using patented machine learning algorithms, Anodot isolates issues and correlates them across multiple parameters in real time, eliminating business insight latency and supporting rapid business decisions through its uncovered insights.
Data-centric companies like web-based businesses, digital advertising and IoT need to know that their companies are running smoothly, 24/7. Anodot goes far beyond mere monitoring; every single digitized business process needs to run like a well-oiled machine and Anodot ensures that it does. Anodot notices – before you do and before your customers do – if something is a little off; if a metric is out of place. The beauty of Anodot is that it identifies these anomalies at such an early stage that it can predict that something will become a major issue long before it does.
Anodot was founded in 2014 by people with experience in huge software systems and the big data analytics necessary to understand them. The company is funded by Disruptive Investments LLC.