Sifflet is an AI-native data observability platform that monitors data quality, reliability and health by combining technical telemetry with business context. Founded in 2021 with an official product launch in 2023, the company positions itself as a bridge between engineering and business users to deliver data trust for analytics and AI. Its platform is used by enterprise customers including Penguin Random House, St‑Gobain and Euronext. Over the past year Sifflet reports it tripled both its customer base and its revenue. With new funding, the company plans to expand its North American presence, accelerate AI-native product innovation and roll out data observability agents this fall. Sifflet emphasizes usability and business context in monitoring to help teams act faster on data issues. G2 users have ranked the company Best estimated ROI and Fastest implementation. Sifflet builds a data observability platform that sits above the data stack, offering 360-degree oversight of data assets by collecting information across ingestion, transformation, and consumption layers. The platform automatically monitors data, metadata and pipelines for anomalies and maintains lineage to aid root-cause analysis. AI is central to its approach, powering monitoring engines, data classification, and context enrichment with pre-trained models that retrain in customer environments. Founded in June 2021 by Salma Bakouk alongside Wissem and Wajdi Fathallah, the Paris-based company counts clients including Carrefour, Nextbite and ShopBack. Sifflet currently has 28 employees and aims to more than double headcount by the end of the year while continuing to invest in product and engineering. It plans to ramp up go-to-market efforts in Europe, the Middle East, Asia and the U.S., and has raised €15 million to date.

Total raised

$31M

Funding rounds

2

Latest round

Equity

Latest activity

Jun 2025