Anomalo AI

Anomalo is an autonomous data quality platform that uses machine learning and AI agents to detect anomalies, investigate data issues, and improve enterprise data reliability.

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Anomalo is an AI-powered data observability platform that helps enterprises monitor, investigate, and improve data quality through autonomous AI agents without requiring code, prompts, or manual monitoring.

They offer automated data quality monitoring, table observability, data insights, conversational analytics, and data documentation through a suite of specialized agents that identify unusual changes and potential data issues.

Users can monitor data availability, freshness, and schema consistency, investigate anomalies, generate data-driven reports, and explore datasets.

Their platform includes nine specialized data agents, automated insights, dashboarding capabilities, business KPI monitoring, and experiment evaluation.

They provide a request for a demo and get demo options.

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Free Usage Policy	Request a Demo
Paid Upgrade Option?	Yes
Tool Release Year	2018
Founded by	Elliot Shmukler
Employees	51-200
Location	Palo Alto, California, United States
Social media presence
Popularity Index	9.0
Main Features	Machine-learning anomaly detection, automated data validation and quality monitoring, AI agents for data insights and documentation, data lineage with conversational analytics.
Best Used For	Detecting unexpected changes across enterprise datasets, monitoring data quality in warehouses and pipelines, investigating data issues and their impact, improving data reliability for analytics and AI systems.