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Decentriq

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16 reviews
  • 1 profiles
  • 3 categories
Average star rating
4.5
Serving customers since
2019

Profile Name

Star Rating

12
4
0
0
0

Decentriq Reviews

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Profile Name
Star Rating
12
4
0
0
0
Verified User in Marketing and Advertising
UM
Verified User in Marketing and Advertising
07/22/2026
Validated Reviewer
Verified Current User
Review source: Organic
Translated Using AI

Give us all the freedoms for fast and outcome-oriented DCR projects with advertisers.

Although they already offer an extremely large number of possibilities, they continuously develop further helpful features and are very open to customer feedback.
Philip Z.
PZ
Philip Z.
07/20/2026
Validated Reviewer
Review source: Organic

Intuitive, Hands-On Platform That Scales Our Campaign Workflows

Compared to other data clean rooms i've evaluated, the platform is genuinely intuitive. The learning curve is much shorter for our team. The value proposition is also communicated clearly, which makes it easy to align internal stakeholders. The team is hands-on. They take the time to understand our specific issues and actively help build custom solutions tailored to our market, rather than just pointing us to generic product features. Decentriq is connected to our workflows and helps us scale our campaign business.
Verified User in Banking
IB
Verified User in Banking
07/15/2026
Validated Reviewer
Verified Current User
Review source: Organic

Privacy-Preserving Data Collaboration

The platform combines strong privacy guarantees with tangible business value, enabling new marketing, analytics, and data-partnership use cases even in a highly regulated environment. For financial institutions, it strikes a rare balance between innovation, compliance, and robust data protection.

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HQ Location:
Zürich, CH

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What is Decentriq?

Decentriq, the “Switzerland of data”, is a confidential data collaboration platform. By enforcing compliance and control with advanced privacy technologies, Decentriq’s data clean rooms help enterprises scale data collaborations across organizational boundaries and unlock value from data that would otherwise be too sensitive to use.

Details

Year Founded
2019