Sifflet

Sifflet is a data observability company founded in 2021 in Paris, France, by Salma Bakouk, Wissem Fathallah and Wajdi Fathallah. It was created to help data teams catch data quality issues before they reach business users, addressing the growing complexity of modern data and AI stacks.

The platform combines a data catalog, automated data quality monitoring, end-to-end lineage and built-in security controls, and recently added AI agents that reason over pipeline metadata to explain and help fix incidents. Customers include Saint-Gobain, BBC Studios, Carrefour, Euronext and Dailymotion, mainly data engineering and governance teams.

1. Data catalog: Centralizes discovery and documentation of tables, dashboards and pipelines.

2. Quality monitoring: Detects anomalies in data freshness, volume and schema automatically.

3. Data lineage: Traces data flow end-to-end to speed root-cause analysis.

4. Built-in security: Applies access controls and compliance checks across connected sources.

5. AI observability agents: Uses reasoning agents to investigate and recommend fixes for incidents.

6. Broad connectors: Integrates with common warehouses, BI tools and orchestration systems.