Anomalo
ML-powered data quality monitoring with a generative AI data analyst.
About
Anomalo is an enterprise data quality platform that uses unsupervised machine learning to detect anomalies, missing data, and distribution shifts across structured and unstructured data. Instead of hand-written rules, its models learn each dataset's history and flag unexpected changes automatically, with controls to reduce false positives.
In 2025 the company launched AIDA, a generative AI data analyst that lets users query and manage their data in natural language, grounded in Anomalo's knowledge of table structures and business metrics. Backed by Databricks Ventures and Snowflake Ventures, Anomalo raised a $33M Series B and integrates natively with Databricks, Snowflake, and BigQuery.
What it can do
- Unsupervised ML anomaly detection on tables
- AIDA generative AI analyst for natural-language data questions
- Root-cause analysis down to rows and columns
- No-code data quality checks and metric tracking
- Native Databricks, Snowflake, and BigQuery integrations
Setup
Sign up for a demo or trial at anomalo.com and connect your data warehouse or lakehouse.
Prerequisites
A cloud data warehouse (Snowflake, Databricks, BigQuery, or similar) with datasets to monitor.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 129; Trending score 82/100 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.