Sifflet AI

Sifflet is an AI-powered data observability platform that monitors data quality, tracks lineage, detects anomalies, and helps teams resolve data issues.

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Sifflet is an AI-powered data observability platform that helps businesses monitor data quality, detect pipeline issues, and maintain reliable data across their analytics and AI workflows.

They combine data quality monitoring, data cataloging, data lineage, automated root cause analysis, and AI-powered incident management to help teams identify problems before they affect business decisions.

Users can trace data issues across upstream and downstream systems, understand their business impact, monitor freshness and schema changes, and identify the context needed to resolve incidents faster.

Their platform includes AI data observability agents, business-aware lineage, impact analysis, pipeline monitoring, and advanced governance.

They offer a free trial.

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Free Usage Policy	Free Trial
Paid Upgrade Option?	Yes
Tool Release Year	2021
Founded by	Salma Bakouk
Employees	51-200
Location	Paris, France
Social media presence
Popularity Index	8.8
Main Features	AI-powered data quality monitoring, automated anomaly detection and incident management, end-to-end data lineage and impact analysis, searchable data catalog with governance controls.
Best Used For	Detecting data quality issues across pipelines, tracing root causes and downstream impact, improving data governance and discovery, maintaining reliable analytics and business reporting.