Added Oct 28, 2026
Anomalo
PaidAI data quality monitoring and autonomous data management agents
What is Anomalo?
Anomalo uses machine learning and AI agents to detect data quality issues across warehouses and lakes without hand-written rules. Data teams in finance, telecom, retail, healthcare, energy and media use it to catch bad data before it reaches reports and models.
It monitors tables for freshness, volume and unexpected changes in values, and agents handle data quality, insights, table observability and documentation. Planned agents cover issue first response, business KPI monitoring, dashboarding and a conversational analytics assistant called AIDA.
It works with on-premises and cloud data platforms and is sold to enterprises through demos, with solutions tailored to regulated industries.
Features
- Automatic anomaly detection
- Table observability
- Data documentation agent
- Data insights
- Experiment evaluation
- Cloud and on-prem support
Tags
Releases
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Organization
Anomalo
๐บ๐ธ United States
Listed by kitio.ai ยท unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
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Pros and cons
Pros
- Finds issues without manual rules
- Covers cloud and on-prem data
- Industry-specific solutions
Cons
- No public pricing
- Several agents still coming soon
- Built for larger data teams
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Q&A
What is Anomalo?
Anomalo uses machine learning and AI agents to detect data quality issues across warehouses and lakes without hand-written rules. Data teams in finance, telecom, retail, healthcare, energy and media use it to catch bad data before it reaches reports and models.
How much does Anomalo cost?
Anomalo is paid.
Is there a free version of Anomalo?
No. Anomalo is a paid tool.
What are the main features of Anomalo?
Automatic anomaly detection, Table observability, Data documentation agent, Data insights, Experiment evaluation, Cloud and on-prem support.
Who makes Anomalo?
Anomalo is made by Anomalo.
What are the best alternatives to Anomalo?
Popular alternatives include Nebuly, Snowflake, Databricks.