Anodot Shows Growth Across Several Key Indicators Including Personnel, Bookings and Customer Profile
(Sunnyvale, CA and Ra’anana, Israel) March 15, 2017 –– Anodot, the real time business incident detection and analytics company, today released important indicators regarding its 2016 performance, far outpacing typical business-to-business startups in their first year of sales and suggesting significant market need and acceptance of Anodot’s product.
Since entering the market slightly more than a year ago, Anodot has added new marquee customers to its roster, significantly increased bookings, and expanded operations and personnel.
Anodot’s key measurements and milestones include:
- Multi-million-dollar bookings since launch
- 40% of Anodot customers are publicly traded companies
- More than doubled the data analyzed by the company’s proprietary machine learning algorithms in less than six months to 5.2 billion data points per day
- Expanded global presence with new offices in Silicon Valley and Europe
- Tripled headcount and appointed two key management members
- Named a Cool Vendor in Analytics in the 2016 Gartner report
“Anodot’s rapid pace of growth is correlated to the existing dissatisfaction in the market with static business intelligence tools,” said David Drai, CEO and co-founder of Anodot. “We knew from our beginning that we needed to develop a cutting-edge product that can lead the industry, offering a new standard of truly autonomous BI that finds the needle in the haystack of business data, instead of leaving data analysts guessing where to look for insights. Our rapid customer acquisition is a testament to our ability to answer the needs of data-driven companies and help them succeed.”
“With over 55,000 CPUs across seven data centers, and more than 900 partners, we’re constantly analyzing a ton of data,” said Rich Galan, Director, Analytics at Rubicon Project, one of the largest ad exchanges in the world. “Before we used Anodot, we’d miss partner integration problems. If we were lucky, we’d see the issue in our aggregated reports a day later, and then it would take us another day or two to isolate the root cause. Now Anodot puts data science in the hands of our business users so we can identify and resolve problems much faster.”
Anodot is disrupting the static business intelligence world with a completely new paradigm to suit today’s online industries. In traditional BI, users need to ask the questions of the data, but knowing what to ask of big data is nearly impossible. The possibilities are nearly infinite, resulting in delayed – or missing – business insights. Anodot uses patented machine learning algorithms to ask all the possible questions, and then provide insights based on what it surfaces as interesting or unusual. Its patented machine learning algorithms learn the normal behavior of every data series to identify abnormal behavior like major spikes or drops. It then correlates related metrics automatically, illustrating a comprehensive story of what is happening with a business in real time.
Scores of data-driven companies in fields like online retail, financial technology (fintech), adtech, online/ mobile games, and industrial Internet of Things are using Anodot, with hundreds of internal users that benefit from Anodot’s anomaly detection and alerts daily.
Anodot’s growth is further enhanced by its expansion in key markets in the US and Europe, its major headcount growth, and the appointment of key management members. Einat Paz, Anodot’s recently appointed CFO was previously CFO at Earnix, a leading SaaS fintech company. Avi Avital, the company’s new VP of Customer Success, previously led the Logging and Monitoring product team for PayPal, where he was building a large scale real-time monitoring platform.
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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).
Anodot provides valuable business insights through anomaly detection. Automatically uncovering outliers in vast amounts of time series data, Anodot’s real time business incident detection uses patented machine learning algorithms to isolate and correlate issues across multiple parameters in real time, supporting rapid business decisions. Anodot customers in fintech, ad-tech, web apps, mobile apps and other data-heavy industries use Anodot to drive real business benefits like significant cost savings, increased revenue and upturn in customer satisfaction. The company was founded in 2014, is headquartered in Ra’anana, Israel, and has offices in Silicon Valley and Germany. Learn more at: www.anodot.com.