Anomalo
by Anomalo
Anomalo is an AI-native autonomous data quality and data management platform that continuously monitors, investigates, and surfaces data issues across an organization's data before they impact operations, analytics, or AI initiatives. It automatically detects, root-causes, and resolves data quality problems across structured, semi-structured, and unstructured data using unsupervised machine learning, with no-code configuration. Intended users include data engineering, data quality, analytics, and data governance teams at enterprises in financial services/insurance, telecommunications, media/entertainment, retail/CPG, healthcare/life sciences, energy, and data provider organizations.
Transparency Score
Weighted across four pillars · updated October 10, 2026
Capabilities
Vendor Information
Complete information about the vendor/provider of this AI application
EU AI Act Provider Information
Potential Risks
1 considerations identified
Review recommended before use
These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.
Get insights into risk by running assessments on this AI application.
Work at Anomalo? Claim this listing to correct or complete the data.
Ready to manage AI applications?
Track, assess, and govern your AI applications with Anove.