55

Out of 100

N/A

Post-money

$66M

All rounds

55/100

2014

100-500 employees

March 2026

Anodot provides autonomous business monitoring powered by AI, using time-series anomaly detection algorithms to continuously monitor business metrics including revenue, usage, and operational KPIs across enterprise data sources and alert teams to significant deviations before they become customer-visible incidents. The Herzliya company machine learning models learn seasonality, trends, and normal

Is this your company? Claim it →
D

David Drai

Founder & CEO

View founder profile →
StageSeries C
Employees100-500
Country🇮🇱 Israel

Share

Loading sentiment...

Series C · No public funding round data available yet.

Frequently Asked Questions

What is Anodot's valuation?
Anodot's valuation is not publicly disclosed.
Who invested in Anodot?
Investor information for Anodot is not publicly available at this time.
When did Anodot last raise funding?
No public funding round data is currently available for Anodot.
How many employees does Anodot have?
Anodot has approximately 100-500 employees.
What does Anodot do?
Anodot provides autonomous business monitoring powered by AI, using time-series anomaly detection algorithms to continuously monitor business metrics including revenue, usage, and operational KPIs across enterprise data sources and alert teams to significant deviations before they become customer-visible incidents. The Herzliya company machine learning models learn seasonality, trends, and normal variance patterns for each metric automatically, reducing alert noise by filtering out expected variation and surfacing only genuine anomalies.\n\nThe company raised approximately $66 million in venture funding including a Series C from investors including Aleph VC, Redline Capital, and Disruptive AI. Anodot serves telecommunications, fintech, gaming, and digital media clients including T-Mobile, Pandora, and Wix, deploying monitoring across billions of data points daily across client environments. The platform connects to data warehouses, streaming pipelines, and cloud monitoring sources through native integrations.\n\nAnodot competes in the AIOps and business monitoring market against Datadog, New Relic, and Sumo Logic for infrastructure monitoring use cases, and against business intelligence anomaly detection features in Tableau, Looker, and Power BI for business metric monitoring. Its focus on business-layer metric anomaly detection rather than infrastructure-layer monitoring differentiates it in the revenue operations and product analytics segments, where engineering-focused monitoring tools are insufficient for the metric breadth and business context that business operations teams require.