Paid tool

anomalo.com

AI-powered data quality platform for automated anomaly detection and validation.

Visitanomalo.com
Intro

What is anomalo.com?

Anomalo is an enterprise AI-powered data quality monitoring platform designed to help organizations build trust in their data. Serving as an AI data quality solution, it functions as business anomaly detection software by utilizing unsupervised machine learning to deeply understand historical data patterns, correlations, and seasonal changes. Co-founded by executives including Elliot Shmukler, the platform automates the tracking of data quality metrics in machine learning systems, databases, and warehouses. By automatically building ML models for each dataset, Anomalo AI detects various types of problems and anomalies before they can negatively impact downstream dashboards, reports, or business operations.

anomalo.com at a glance
Free Data Quality Analysis available, contact for enterprise pricing17K monthly visitsPaid access
Pricing

anomalo.com Pricing Plans

Compare anomalo.com free options, anomalo.com paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free Data Quality Analysis available, contact for enterprise pricing

Free

Complimentary initial analysis of data quality for selected tables

Contact for Pricing

Full access to AI-powered monitoring, custom validation rules, data lineage, and dedicated support

Pricing updated:Jun 12, 2026

Features

anomalo.com AI Features

Automated AI-driven anomaly detection and pattern monitoringNo-code validation rules and KPI tracking via visual UILow-cost, metadata-based data observability at enterprise scaleAutomated data lineage tracing from source to destinationVisual data profiling including distribution of column valuesInstant automated root-cause analysis for detected failures
Pros & Cons

anomalo.com Pros and Cons

Pros

  • AI-first approach automatically adapts machine learning models as data grows
  • No-code interface allows technical and non-technical stakeholders to build trust
  • One-click integration with major enterprise data stacks like Snowflake and Databricks
  • Reduces manual effort through automated root-cause investigations

Limitations

  • Enterprise pricing is not publicly disclosed and requires a demo request
  • Certain features like unstructured data monitoring are currently in private beta

anomalo.com FAQ

Anomalo detects a wide array of typical issues, including sudden shifts in volume, high rates of null or missing values, unexpected schema changes, historical pattern drifts, and mathematical time series anomalies.