Anodot provides Autonomous Business Monitoring that uses patented machine learning algorithms to monitor metrics, detect anomalies in real time, and correlate related anomalies across the business. The platform is used by customers including Vimeo, Atlassian, and T‑Mobile. Anodot says customers can reduce time to detection by as much as 80%, helping safeguard revenue, reduce operational costs, and improve customer experience. The company was named by Forbes as a Top 20 Machine Learning Startup to Watch. Anodot is headquartered in Israel and Silicon Valley with satellite teams worldwide and serves Fortune 500 customers in finance, telecommunications, and digital enterprise. Investors and company commentary indicate a roadmap from autonomous monitoring toward more advanced forecasting tools. Anodot provides an autonomous, time-series anomaly-detection platform that monitors business operations against user-defined KPIs. It ingests normalized data from customers' systems, learns normal behavior across time-based metrics, and detects deviations without manual configuration aside from defining what is important. The platform can map and track thousands to tens of thousands of KPIs per customer — for example, an eCommerce company with 1,000 products in 50 countries could generate 50,000 KPIs. Anodot positions itself as analogous to application performance monitoring but focused on business systems, alerting on drops in conversions, spikes in costs, and other business-impacting events. Founded in 2014, the company has 70 employees and about 100 paying customers, including Atlassian, T Mobile, Lyft and Pandora. Under current economic conditions the CEO says the company will be cautious on hiring while continuing to sell the product as a cost-saving tool; financially it has raised $62.5 million to date following a $35M Series C. Anodot, founded in 2014 and based in Ra’anana, Israel, uses automated machine-learning algorithms to continuously analyze business data, detect the incidents that matter and correlate causes across multiple data sources. Its platform serves customers in fintech, ad-tech, web and mobile apps, with named customers including Foursquare, Lyft, Microsoft, Upwork and Waze (Google). Over the past year the company more than tripled its revenues and is preparing for further expansion in 2018. The company plans to use new funding to open offices in London and APAC, grow its US team, and invest in sales, marketing and customer success. Co‑founders include CEO David Drai, Ira Cohen and Shay Lang. Anodot offers a SaaS platform that leverages machine learning and real-time streaming data to identify, report, and visualize business incidents as they occur. The product is aimed at Business Intelligence analysts and operations teams to help manage crises and uncover opportunities. The company launched and, within nine months, secured dozens of customers, including several Fortune 500 companies. Anodot intends to use the new funds to expand global sales and operations. Co-founded in 2014 by David Drai, Shay Lang and Dr. Ira Cohen, the team includes executives with prior roles at GetTaxi, Trustwave and HP. The company is based in Ra’anana, Israel and has raised $12.5m in total funding to date. Anodot exited stealth with a real-time anomaly detection solution that uses patented machine learning algorithms to challenge static business intelligence. Its platform is data-agnostic and automates the discovery of outliers across business and operational data, isolating issues and correlating them across multiple parameters in real time. The product is designed to pinpoint performance issues and surface business opportunities to increase operational efficiency and maximize revenue. Anodot targets ad tech, e-commerce, IoT and manufacturing customers and is already in production with dozens of organizations, including Avantis and Wix. Founded in June 2014, the company is based in Sunnyvale, Calif. and Ra’anana, Israel. It plans to use new funding to accelerate its product roadmap and expand sales activity in the U.S. and EMEA.

Total raised

$64M

Funding rounds

5

Latest round

Equity

Latest activity

Jun 2021