
Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. All without writing code, configuring rules, or setting thresholds. Let us help you trust the data you’re using to make decisions and build products.

Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. All without writing code, configuring rules, or setting thresholds. Let us help you trust the data you’re using to make decisions and build products.
Product: AI-driven data quality and observability platform
Founded: 2018
Founders: Elliot Shmukler and Jeremy Stanley
Recent funding: $33M Series B (Jan 2024)
Total funding (reported): $72M–$81.95M (reported figures vary)
Data quality, data observability, anomaly detection in large-scale analytics stacks
2018
Software Development
5950000
Seed round reported in December 2020
33000000
Series A led by Norwest Venture Partners
33000000
Series B announced January 2024; participation reported from strategic investors including Databricks Ventures and Snowflake Ventures
“Backed by venture firms and strategic corporate investors including Norwest Venture Partners, SignalFire, Databricks Ventures, and Snowflake Ventures”
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