Anodot is an AI company for business monitoring and anomaly detection, identifying revenue-impacting issues in real time. Its patented machine learning analyzes time-series data, correlates incidents, finds root causes, and improves forecasting and cloud cost optimization to help businesses prevent customer-impacting problems.
Anodot is an artificial intelligence firm dedicated to monitoring business activities and detecting abnormalities, thus providing organizations with real-time insights to help them catch problems affecting their revenue early on. The platform of Anodot processes huge amounts of time-series data, establishes relationships between events in different systems, and identifies the sources of problems in order to enhance reliability and performance.
It employs the technology through its patents in machine learning, eliminates the thresholds' manual setting, reduces the alert's noise to a minimum, and simplifies the complicated data so that it is actionable and understandable. Hence, the firm is able to take proactive decisions, operate more efficiently, and provide the customers with better experiences.
| Legal Name | Anodot Ltd |
| Headquarters | Ashburn, Virginia, United States |
| Business Model | B2B |
| Founding Date | 2014 |
| No. of Employees | Approx 70 (As of 2025) |
Anodot provides a range of solutions powered by AI for business monitoring, such as instant anomaly detection, forecasting, optimization of cloud expenditures, automated root-cause analysis, alert correlation, and time-series data analysis, to support the organizations in spotting problems promptly and improving the efficiency of their operations.
| David Drai | Chief Executive Officer (CEO) & Co-founder |
| Ira Cohen | Chief Data Scientist & Co-founder |
| Einat Paz | Chief Financial Officer (CFO) |
| Elisha Ben-Zvi | Vice President of R&D |
| Elad Aharoni | Vice President of Customer Success |
Anodot earns revenue through subscription‑based licensing of its AI platform, providing enterprise clients with real‑time business monitoring and cloud cost‑management services that generate recurring income.
Client Segments: Data‑driven enterprises needing real‑time anomaly detection, revenue monitoring, cost management, and operational observability.
Target Companies: Large enterprises, high-volume transaction businesses, subscription‑based firms, cloud‑dependent organizations, and digital platforms seeking operational intelligence and financial observability.
Target Geography: Presence in North America and serves global customers across multiple regions.