Sifflet is the Data Reliability platform delivering actionable insights and helping organisations manage data quality monitoring at scale.
Location: France, Ile-de-France, Paris
Employees: 11-50
Total raised: $18M
Founded date: 2021
Investors 2
| Date | Name | Website |
| 05.07.2025 | Capmont | cmont.com |
| 18.04.2023 | EQT Ventur... | eqtventure... |
Funding Rounds 1
| Date | Series | Amount | Investors |
| 19.06.2025 | - | $18M | - |
Mentions in press and media 6
| Date | Title | Description |
| 19.06.2025 | Sifflet Raises $18M in Funding | Sifflet, a NYC-based provider of a data observability platform, has raised $18M USD in funding. Backers included EQT Ventures and Mangrove Capital Partners, with Capmont Technology joining as a new investor. The company intends to use the f... |
| 22.05.2025 | Sifflet Unveils AI Agents to Redefine Data Observability in the Age of AI | Sifflet, the AI-native data observability platform, today shared an early look at their upcoming system of AI agents designed to help modern data teams scale data quality and reliability, reduce incident response times, and stay ahead of co... |
| 21.03.2023 | Sifflet raises cash to expand its data observability platform | Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey by Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issu... |
| 21.03.2023 | Sifflet sniffs out €12 million to make data sets more reliable | Paris-based actionable insights for data engineers and data consumers (isn’t that ALL of us?) platform Sifflet has raised €12 million in a Series A funding round. According to the company, the new capital will be used to accelerate its go-t... |
| - | Sifflet | “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 | “Sifflet allows you to get full visibility over data, metrics, metadata and lineage. Get ahead of data issues before they become business catastrophes.” |