Sifflet

Sifflet

Data reliability platform delivering actionable insights and helping organizations manage data quality monitoring at scale.

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DateInvestorsAmountRound
-investor investor investor investor investor

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investor

€0.0

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€0.0

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round
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$18.0m

Early VC
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-292 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Sifflet
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Sifflet Data is a startup that operates in the data management sector, providing solutions for data quality and cataloging. Their primary offering is a platform that not only monitors data quality but also provides actionable insights when data quality rules fail. This means that instead of just identifying issues with data, Sifflet's platform guides users on what steps to take to rectify these issues, ensuring data reliability at all times.

Their client base primarily includes businesses that heavily rely on data for their operations, such as those in the analytics sector. For instance, a VP of Data & Analytics at JobValley, one of their clients, praises Sifflet for its combination of data cataloging and quality features. The data catalog allows users to easily find the data they need, while the data quality feature ensures the reliability of this data.

Sifflet operates in a market where data is increasingly becoming a critical asset for businesses. Their business model revolves around providing a subscription-based platform that offers data quality monitoring and actionable insights. They generate revenue through subscription fees paid by businesses to use their platform.

In summary, Sifflet Data is a data management startup that provides a platform for data quality monitoring and cataloging, serving businesses that rely heavily on data. They operate on a subscription-based model, generating revenue through platform usage fees.

Keywords: Data Management, Data Quality, Data Cataloging, Actionable Insights, Data Reliability, Subscription-Based, Platform, Analytics, Business Data, Revenue Generation.

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