Series B · Data & Analytics · Paris, France · Founded 2021 · 50–60 employees
Sifflet is an AI-augmented data observability platform that helps organizations monitor data quality, health, and lineage across their entire data stack. Founded by former executives from Goldman Sachs, Amazon, and Uber Eats who experienced data reliability issues firsthand, the company provides end-to-end data stack observability with automated quality checks, lineage tracking, and AI-driven anomaly detection. Sifflet has raised €33 million across multiple funding rounds including a €16 million Series B in June 2025 led by EQT and Mangrove Capital Partners. The company serves notable customers including BBC Studios, Carrefour, and Penguin Random House, helping data teams reduce troubleshooting time and build trust in their data systems.