The Silicon Review
Anodot illuminates business blind spots with AI analytics, so you will never miss another revenue leak or brand-damaging incident. Its automated machine learning algorithms continuously analyze all your business data and alert you in real time whenever an incident occurs, even for questions you never thought to ask. By detecting the business incidents that matter, and identifying why they happen by correlating across multiple data sources, Anodot lets you remedy urgent problems faster and capture opportunities sooner. Unlike traditional BI, Anodot has built-in data science, so any user can easily gain actionable business insights without data science expertise.
Data-centric companies like web-based businesses, digital advertising, and IoT need to know that their companies are running smoothly, 24/7. Anodot notices – before you do and before your customers do – if something is 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 Aleph VC and Disruptive Investments LLC.
Anodot Product: Get insights from your data. In real time.
Anodot is a real-time analytics and automated anomaly detection system that discovers outliers in vast amounts of time series data and turns them into valuable business insights. 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. With its scalable SaaS platform, Anodot provides typically siloed teams – BI, R&D, and DevOps – with a single, unified system for both business and IT metrics.
Automated Anomaly Detection
Using patented machine learning algorithms, Anodot crunches your time series data to determine its normal range. From then on, it flags any and all anomalies, assigning them a significance score, an automatic assessment of how important an anomaly is based on how “off” the data is, and for how long a period of time. Distinctive features of the automated anomaly detection include:
Intelligent Behavioral Correlation and Grouping
Sometimes taken on its own, a single anomaly may not be significant. But when grouped together with other anomalies, it becomes extremely important. For example, similar changes across multiple geographies, or while one metric rises another one falls. Noticing these types of correlations manually is nearly impossible, yet Anodot groups and correlates multiple anomalies by design, to bring you the most important insights first and eliminate alert storms. No manual configuration is necessary to gain these correlated anomalies; Anodot automatically learns from your data and provides you with unique insights.
Anomalies are delivered right to your favorite application with extensive built-in alerting tools. Alerts are automatically grouped so that when there are multiple, related anomalies, a single, unified alert allows you to investigate the phenomenon at once. For example, if there are anomalies for both a publisher and an ad exchange, both of which have alerts configured, Anodot would provide a single combined alert to show the relationship between them. And then, one click on the “investigate” button brings you to the right place in the Anodot interface for further research. Static threshold alerts may also be set, but in most cases are not necessary when tracking anomalies. Alert notifications can be sent via email or webhook (e.g. Slack).
Powerful Analytics for Composite Metrics
A full suite of functions lets you view your metrics in infinite combinations. Easy, wizard-driven function trees let you create and save composite metrics and enable the quick building of charts and dashboards. Saved composite metrics (e.g. average checkout amount across multiple regions; or the ratio of product views to checkouts for a single product or group of products) are then tracked for anomalies moving forward.
One-click charts can be displayed as lines, columns, area, and spline, with stacking options. Every chart enables drill-down into the data for further investigation. Charts can be grouped together into dashboards for easy viewing and handling, giving you quick-access bookmarks for often-viewed metrics.
Whatever type of time series data you have, Anodot can analyze it and determine its anomalies in real time. With simple integrations to standard metrics solutions such as Graphite, StatsD, Coda Hale Metrics and collected, it’s easy to get started. Whether in adtech, e-commerce, gaming, or any other data-centric business, start streaming your data to Anodot, and begin gaining new insights that will help improve your business.
“Anodot detected anomalies which showed a decline in user engagement or failures for our custom increase their marketing campaigns efficiency and increase their ROI significantly.”
– Yaniv Shalev, Convertro (AOL Company)
“Before Anodot, we were constantly chasing the data and feeling like we were missing something with our traditional BI solutions. Now Anodot helps us find problems (and good issues) as they happen. We are improving campaign ROI for our customers in real time as a result of Anodot.”
– Ran Avidan, CTO, StartApp