Sifflet is a full-stack data observability platform that helps data teams detect, diagnose, and resolve issues across their pipelines before they impact downstream analytics and AI. It monitors data quality, freshness, volume, schema, and end-to-end lineage, giving organizations confidence in the data feeding their decisions and models.
The platform combines automated anomaly detection, a data catalog, lineage mapping, and incident management so engineers and analysts can understand the upstream and downstream impact of data issues. As enterprises operationalize AI, Sifflet positions itself as 'AI-ready' data observability that ensures trustworthy inputs.
Sifflet raised a €12M (~$12.8M) Series A led by EQT Ventures in 2023, building on earlier backing from Mangrove Capital Partners. In June 2025 it raised an additional $18M from existing shareholders EQT Ventures and Mangrove Capital Partners, with new investor Capmont joining, bringing total funding to roughly $35.8M.
Founded in Paris, Sifflet serves data engineering, analytics, and platform teams at mid-market and enterprise companies who need reliable data pipelines. Its observability layer integrates across the modern data stack.
The company competes in data observability alongside players that have been acquired by larger vendors, positioning itself as an independent, AI-focused option for data trust.