Anodot
Autonomous anomaly detection for business metrics, acquired by Glassbox in 2025.
Acquired — still operating
acquired by Glassbox Nov 2025
About
Anodot is an autonomous analytics platform that uses unsupervised machine learning to monitor 100 percent of business metric streams in real time, detecting anomalies and correlating them for root-cause analysis without manual thresholds. Founded in 2014, it specializes in business KPIs like revenue, ad spend, and conversion rather than infrastructure telemetry.
Its patented correlation engine groups related anomalies across dimensions and scores them by impact, cutting alert noise. In November 2025 Anodot was acquired by Glassbox, which is embedding its anomaly detection engine into digital experience analytics to catch shifts in user behavior before they hurt the business.
What it can do
- Autonomous anomaly detection across 100% of metric streams
- Patented multivariate correlation engine for root cause analysis
- Continuous forecasting of business metrics
- Pre-built connectors for business data sources
Setup
Connect metric sources via pre-built connectors (Salesforce, Kafka, SQL, AWS S3) and let the ML build baselines automatically.
Prerequisites
Business metric streams to monitor; no data science expertise required.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 123; Trending score 70/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.