Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, Anomalo monitors structured, semi-structured, and unstructured data without requiring teams to write rules or maintain fragile checks. Using unsupervised machine learning, advanced time-series models, and LLM-powered evaluators, Anomalo learns the normal behavior of your data and identifies anomalies such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding approach goes far beyond metadata level observability. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. With rich no-code tooling and AIDA— Anomalo’s Intelligent Data Analyst, anyone from data engineers to analysts and stewards can investigate issues, visualize trends, ask questions in natural language, and convert insights into new automated checks. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity.