Anodot Exits Stealth and Introduces Real-Time Anomaly Detection
December 09, 2015
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Anodot exited stealth, introducing its real-time anomaly detection solution with patented machine learning algorithms for big data.

Pinpointing performance issues and business opportunities in real time, Anodot enables its customers to increase operational efficiency and maximize revenue generation.

The company also announced it closed a $3 million Series A funding round led by Disrupt-ive Partners, bringing total funding in the company to $4.5 million. The company will use the funding to accelerate its product roadmap and expand its sales activity, focusing on the ad tech, e-commerce, IoT and manufacturing industries in the U.S. and EMEA.

Founded in June 2014, Anodot is an analytics and anomaly detection solution that is data agnostic and automates the discovery of outliers in all business and operational data. Anodot’s platform isolates issues and correlates them across multiple parameters to surface and alert on incidents in real time.

“I experienced the data analysis lag problem first hand as CTO for Gett,” said Anodot CEO David Drai. “As a mobile taxi app, SMS text orders were dropped by the carrier, but it could take up to three days to spot critical issues and fix them, costing tens of thousands of dollars per incident. That’s where I got the idea for Anodot — to employ the latest advances in machine learning to detect performance problems automatically and in real time, eliminating the latency.”

Anodot is led by a proven team of three co-founders with strong credentials as entrepreneurs and technologists with deep experience in data science and global-scale SaaS infrastructures.

- CEO David Drai was co-founder and CTO of Cotendo for four years when it was acquired by Akamai for $300 million.

- Chief Data Scientist Dr. Ira Cohen held the same position at HP Software where he led research and development in machine learning and data mining techniques.

- R&D VP Shay Lang has led engineering teams for more than 10 years at leading technology companies.

On the board of directors, the team also includes Anthony Bettencourt, president and CEO at Imperva and a board member at Proofpoint, and Ben Lorica, O'Reilly Media’s chief data scientist and a top influencer on Twitter, as a board advisor.

Features and advantages of Anodot Anomaly Detection include:

- Operates in real time

- Works with any type of metric or KPI and scales to any big data volume

- Uses proprietary patented machine learning algorithms

- Correlates different metrics to help identify root causes of problems and eliminate alert storms

- Simulation capability optimizes alert planning and reduces false positive alerts

- Eliminates the need for time-intensive manual analysis

- Enables non-specialists to gain the insights they want and delivers fast time-to-value

- Provides clear visualizations that help any user to understand what the data is showing them

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