Sifflet

Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain,[1][2]

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2021 Founded9 People on the graph

Overview

Sifflet is listed as a data-AI company in the New York City AI scene [1]. The company addresses data quality and monitoring challenges, focusing on helping data teams identify and resolve data issues across their technology stack [2]. According to the company's description, data teams often experience delays in catching problematic data before it reaches business stakeholders, with root cause analysis taking considerable time [2]. Sifflet provides a monitoring layer designed to detect issues early and explain their origins, enabling resolution before incorrect data impacts decision-makers [2]. The company operates in the software development industry [3] and has approximately 51 employees [3]. Notable clients include BBC and Saint-Gobain [2].

Growth & traction

LinkedIn lists 51 people working at Sifflet. [4]

Leadership & org chart

Salma BakoukCEO & Co-Founder

Focus

Sifflet describes itself as "We catch data issues before they reach the business, show why they happened, and how to fix them.".[5]

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