At Sifflet,
Data Means Business.

Data drives every strategic decision, guides innovation, and powers transformation. But how do companies ensure their data is reliable? How can they trust the insights that guide critical business choices? How do they turn raw information into actionable intelligence, high-performing products, and superior strategies? Enter Sifflet.

Who We Are

We are a data observability platform.
We offer end-to-end oversight into the entire data stack, helping teams to uncover, prevent and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.

Our Mission

We help companies see data breakthroughs. Sifflet delivers smoother running data stacks by providing detailed oversight and solutions that reduce data breaks, improve team alignment and operations, and build confidence in the numbers. The result? Superior insights, value and products from data.

Meet our Executive team

Sifflet was built by a data-obsessed team for
data-obsessed teams.

We’re Hiring!

Chief Executive Officer

Salma Bakouk

Before founding Sifflet, Salma worked in quantitative sales & trading at Goldman Sachs, where she saw firsthand how unreliable data could undermine even the most sophisticated models. She holds two master’s degrees in Applied Mathematics and Computer Science from École Centrale Paris. Named among Europe’s Top 100 Women in Tech, Salma is a frequent speaker at leading industry events including Gartner D&A Summit and Big Data LDN. Outside of work, she loves running mountain trails, discovering new cities, and spending time with her dog always chasing the same clarity and balance she strives to bring to data.

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Frequently asked questions

How does Sifflet help with compliance monitoring and audit logging?

Sifflet is ISO 27001 certified and SOC 2 compliant, and we use a separate secret manager to handle credentials securely. This setup ensures a strong audit trail and tight access control, making compliance monitoring and audit logging seamless for your data teams.

How can data observability support a Data as a Product (DaaP) strategy?

Data observability plays a crucial role in a DaaP strategy by ensuring that data is accurate, fresh, and trustworthy. With tools like Sifflet, businesses can monitor data pipelines in real time, detect anomalies, and perform root cause analysis to maintain high data quality. This helps build reliable data products that users can trust.

How does Sifflet support both technical and business teams?

Sifflet is designed to bridge the gap between data engineers and business users. It combines powerful features like automated anomaly detection, data lineage, and context-rich alerting with a no-code interface that’s accessible to non-technical teams. This means everyone—from analysts to execs—can get real-time metrics and insights about data reliability without needing to dig through logs or write SQL. It’s observability that works across the org, not just for the data team.

How does Sifflet support data governance at scale?

Sifflet supports scalable data governance by letting you tag declared assets, assign owners, and classify sensitive data like PII. This ensures compliance with regulations and improves collaboration across teams using a centralized observability platform.

What’s the role of an observability platform in scaling data trust?

An observability platform helps scale data trust by providing real-time metrics, automated anomaly detection, and data lineage tracking. It gives teams visibility into every layer of the data pipeline, so issues can be caught before they impact business decisions. When observability is baked into your stack, trust becomes a natural part of the system.

What does the Sifflet and Google Cloud partnership mean for users?

Great question! This partnership allows Google Cloud users to integrate Sifflet’s data observability platform directly within their private cloud environment. That means better visibility, reliability, and trust in your data from ingestion all the way to analytics.

What kinds of data does Shippeo monitor to support real-time metrics?

Shippeo tracks critical operational data like order volume, GPS positions, and platform activity. With Sifflet, they monitor ingestion latency and data freshness to ensure that metrics powering dashboards and customer reports are always up to date.

Why is data lineage a pillar of Full Data Stack Observability?

At Sifflet, we consider data lineage a core part of Full Data Stack Observability because it connects data quality monitoring with data discovery. By mapping data dependencies, teams can detect anomalies faster, perform accurate root cause analysis, and maintain trust in their data pipelines.

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We're seeking driven individuals eager to roll up their sleeves and help make data observability everyone's business.

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At Sifflet, Data Means Business.