Real-time Business Incident Detection Provides Value to Online Businesses, IOT, Ad Tech SUNNYVALE, Calif. and RA’ANANA, Israel, May 25, 2016 – Anodot, the real time analytics and automated business incident detection company, has been named a “Cool Vendor” in Analytics in the 2016 Gartner report. Each year, Gartner, the world’s leading information technology research and advisory company, identifies new Cool Vendors in key technology areas and publishes a series of research reports about them. Anodot is one of five companies identified in the report as “innovative vendors that are redefining the types of analysis that it is feasible for organizations to perform.  They are doing so by providing high levels of automation or extending analytics' reach to new classes of user and new types of decision.” Anodot’s automated business incident and anomaly detection platform enables business analysts to uncover outliers in vast amounts of streaming data without manually setting thresholds or prioritizing which metrics to track. Identifying anomalies quickly can provide early notice of market shifts, niche use cases, or leaky revenue pipelines. The SaaS solution is based on patented machine-learning algorithms that isolate issues and correlate them in real time to alert users to a need for action. “We feel it is a great honor to be recognized as a Cool Vendor by Gartner together with Cognitive Technology, OnlyBoth, ThoughtSpot and Veriluma,” said David Drai, CEO and co-founder of Anodot. “Business and IT users are overwhelmed with traditional business intelligence dashboards and millions of data metrics, and it can take them days to learn that they are bleeding potential revenue. Today, companies like Wix, Credit Karma and dozens of others are using Anodot to pinpoint performance issues and business opportunities, gaining the real time insights they need to save revenue, keep their business running smoothly, and keep their customers happy.” For example, as discussed in this case study, before using Anodot, Wix’s data analysts spent a great deal of time scrutinizing reports and graphs manually to try to detect issues in vast amounts of data, but important issues were sometimes identified hours to days after they had occurred. To read the full report “Cool Vendors in Analytics, 2016,” authored by Gareth Herschel, Whit Andrews, Rita L. Sallam, Lisa Kart, Marc Kerremans and Cindi Howson, 19 May 2016, click here (requires Gartner subscription). Drai continued, “In the age of Big Data, machine learning is a must have, and with our patented algorithms, Anodot is disrupting traditional BI.” Gartner Cool Vendor Disclaimer Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Anodot Based in Sunnyvale, Calif. and Ra’anana, Israel, Anodot is disrupting the static nature of the Business Intelligence (BI) market with a unique technology for real-time analytics and automated anomaly detection for big data. Using patented machine learning algorithms, Anodot automates the discovery of outliers in vast amounts of data, isolates issues and correlates them across multiple parameters. Operating in real time, Anodot delivers business insights immediately, predicts events before they happen and supports rapid business decisions that help maximize revenues and production for Web-based, e-commerce, ad tech, IoT and manufacturing businesses. For more information or for a free trial, visit anodot.com. Anodot Contact: Amy Kenigsberg K2 Global Communications [email protected] (913) 440-4072 (+7 ET)  

SUNNYVALE, Calif. & RA’ANANA, Israel – May 17, 2016 – Anodot, the real time analytics and automated business incident detection company today announced that Credit Karma has selected Anodot as its platform of choice for detecting business incidents in real time. With its online provision of free credit scores and financial recommendations to 50 million members, Credit Karma needs to monitor hundreds of thousands of business and technical metrics in order to keep its business running smoothly. “It used to take us up to several days to identify an issue on a specific page, offer, or service that was draining our revenues,” said Pedro Silva, Credit Karma’s Senior Product Manager. “Anodot identifies when a metric increases or decreases in real time, so we can resolve it quickly, before business suffers or revenue is lost.” “We see many companies that encounter a similar problem to Credit Karma; they collect massive amounts of data but do not have a way to access the insights that are meaningful for the business in real time,” said Uri Maoz, Anodot’s head of US Business. “Today’s business intelligence solutions are too static to keep pace with the dynamic nature of online and mobile business; Anodot’s real-time machine-learning driven solution is becoming a must-have for web-based businesses.” Credit Karma tested multiple monitoring solutions and even considered developing a solution in-house to meet its needs, however found that Anodot’s solution was the best fit for its needs. “Working with Anodot was easy and professional,” said Silva. “The other solutions on the market require manual setting of thresholds for business incident detection, which is not scalable for a company like us, with the large number and complexity of metrics we need to track. Anodot sets itself apart with automatic anomaly detection, rather than manually setting thresholds.” Silva further pointed out that Anodot is especially useful for finding slow revenue leaks that might otherwise be hidden in the larger picture. “If the entire service were down, we would know pretty quickly, of course,” Silva explained, “but for errors impacting only a specific page, offer, browser, platform, or feature – all of which affect revenue and customer satisfaction – we would not know for at least a day or two using other analytics tools, and Anodot finds them right away.” To learn more about how Credit Karma uses Anodot to identify relevant and actionable incidents each day, view the full case study at https://www.anodot.com/case-studies/credit-karma-adopts-anodot-real-time-business-incident-detection/. About Credit Karma Credit Karma’s goal is to save Americans time and money. Through analysis of more than 50 million members’ finances, Credit Karma researches and recommends credit cards, loans and insurance based on each individual’s specific credit profile, drastically simplifying some of the most confusing and tedious yet important tasks in personal finance. The company started by providing free credit scores to recreate the financial industry around people instead of banks. It continues to expand its completely free offerings including its Credit Score Simulator, credit monitoring and friendly, personalized information to help each person understand and make the most of their individual situation. To create a free account, visit www.CreditKarma.com or download the mobile app from the Google Play™ or Apple® App Store℠. About Anodot Based in Sunnyvale, Calif. and Ra’anana, Israel, Anodot is disrupting the static nature of the Business Intelligence (BI) market with a unique technology for real-time analytics and automated anomaly detection for big data. Using patented machine learning algorithms, Anodot automates the discovery of outliers in vast amounts of data, isolates issues and correlates them across multiple parameters. Operating in real time, Anodot delivers business insights immediately, predicts events before they happen and supports rapid business decisions that help maximize revenues and production for Web-based, e-commerce, ad tech, IoT and manufacturing businesses. For more information or for a free trial, visit anodot.com.   Credit Karma Contact: Frances Cohen [email protected] (415) 568-8429 Anodot Contact: Amy Kenigsberg K2 Global Communications [email protected] (913) 440-4072 (+7 ET)

Anodot’s technology uses pattern recognition to find anomalous data patterns and send alerts when something is out of the norm.