Sifflet

Scale data reliability without scaling on-call. AI agents surface risk, explain what changed, and accelerate resolution with guided workflows.

Reduce alert noise and resolve incidents faster. Sifflet AI agents detect issues, explain root cause with context and lineage, and help teams act immediately.

The page describes continuous security monitoring to track sensitive data flows and access changes and prevent unauthorized exposure across a data stack.

The Sifflet Blog covers trends and best practices in data observability, AI, and analytics.

How Galeries Lafayette could leverage Sifflet’s data observability to ensure reliable e-commerce data and optimize omnichannel performance.

The page describes how Sifflet customers have used its data observability platform to improve data quality and efficiency.

The page offers analyses of data observability, along with guides, white papers, and templates about data management.

Five themes dominated the Gartner Data & Analytics Summit 2026 in London: governance, semantic layers, agent readiness, dashboard trust, and rising costs. Each one maps to a gap most data teams haven't fully closed yet.

The page shares news and features about Sifflet's data observability platform, including articles from publications about the company's achievements and industry impact.

The premier virtual summit on data reliability, observability, and trustworthy AI. Four days of keynotes, firesides, and panels to build AI ready systems.

Sifflet offers a free trial that lets users connect their stack and run monitors with lineage context.

The page compares Sifflet pricing plans for data observability, including data quality, lineage, and AI-powered monitoring.

The page lists five alternatives to Anomalo for 2026, covering full-stack data observability, lineage, and operational insight.

The page compares five data observability platforms for 2026, including Sifflet, Monte Carlo, Acceldata, and Metaplane.

The page names Penguin Random House, BBC, and Carrefour as companies that chose Sifflet. It describes Sifflet's AI-powered observability for technical and business teams.

Compare Sifflet and Monte Carlo for data observability. Sifflet offers faster root cause analysis, business impact clarity, and proactive monitoring.

The team builds AI-augmented data observability tools.

The page describes Sifflet's mission, values, and team, which provides data observability solutions for modern data teams.

Sifflet monitors data assets, metadata, and infrastructure to support data reliability from ingestion to consumption.

The page invites visitors to contact the Sifflet team about activating a Snowflake offer.

The page invites visitors to contact the Sifflet team about data observability.

Sifflet is the control plane for Data and AI. Catch data issues before they reach the business, trace them to root cause, and fix them fast. Trusted by Penguin Random House, Saint-Gobain, Euronext and more.

Sifflet wants to make data observability everyone's business. It offers unified data discovery, integrated monitoring, and troubleshooting capabilities to enhance data reliability and team productivity.

Sifflet's Privacy Policy explains how Sifflet collects, uses, and protects data.

Sifflet's Terms of Use explain the guidelines and conditions for accessing and using its data observability platform and services.

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Data and AI firm Sifflet closes an $18 million funding round backed by EQT Ventures and Mangrove Capital Partners, with Capmont Capital joining as a new investor. The financing brings Sifflet’s total funding to $35.8 million.

Jun 2025 · Retail Technology Innovation HubNews article

Sifflet raises $18 million from existing shareholders EQT Ventures and Mangrove Capital Partners, with Capmont Technology joining as a new investor.

Jun 2025 · PR Newswire UKNews article

Sifflet unveiled three AI agents—Sentinel, Sage and Forge—to automate monitoring, diagnosis and remediation in data observability.

May 2025 · PR Newswire UKNews article