Anodot Exits Stealth and Introduces Real-Time Anomaly Detection
December 09, 2015
Share this

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

Share this

The Latest

April 11, 2024

Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...

April 10, 2024

Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...

April 09, 2024

Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...

April 08, 2024

Digital experience monitoring is the practice of monitoring and analyzing the complete digital user journey of your applications, websites, APIs, and other digital services. It involves tracking the performance of your web application from the perspective of the end user, providing detailed insights on user experience, app performance, and customer satisfaction ...

April 04, 2024
Modern organizations race to launch their high-quality cloud applications as soon as possible. On the other hand, time to market also plays an essential role in determining the application's success. However, without effective testing, it's hard to be confident in the final product ...
April 03, 2024

Enterprises are experiencing a 13% year-over-year increase in customer-facing incidents, reflecting rising levels of complexity and risk as businesses drive operational transformation at scale, according to the 2024 State of Digital Operations study from PagerDuty ...

April 02, 2024

According to Grafana Labs' 2024 Observability Survey, it doesn't matter what industry a company is in or the number of employees they have, the truth is: the more mature their observability practices are, the more time and money they save. From AI to OpenTelemetry — here are four key takeaways from this year's report ...

April 01, 2024

In an age where technology evolves at a breakneck pace, it's crucial to explore how AI assistants can revolutionize our work processes and daily lives, ultimately enhancing overall performance ...

March 28, 2024

Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...

March 27, 2024

Agent-based approaches to real user monitoring (RUM) simply do not work. If you are pitched to install an "agent" in your mobile or web environments, you should run for the hills ...