Person viewing a glowing tablet against a cityscape, symbolizing secure data collaboration at Decentriq.

Data utility meets data privacy. No compromises.

Our data clean room platform lets you securely collaborate on data without exposing sensitive information.

Decentriq logo on a white background; secure data collaboration and data clean room solutions in a visual context.Black and white abstract design with a keyhole shape and concentric arcs, symbolizing secure data collaboration.

What is a data clean room?

A data clean room is a secure environment that allows multiple parties to combine and analyze data under strict privacy controls. Rather than sharing raw data, participants receive only approved, aggregated results.

This way, clean room providers can ensure that sensitive underlying information remains inaccessible to all collaborators.

Easy-to-use, secure data collaboration with Decentriq

Our intuitive workflows, seamless interfaces, and robust privacy technologies enable collaboration without compromise.

Looking to build and activate audiences in addition to collaborating on data? Check out our all-in-one tool: Collaborative Audience Platform

Data privacy by design

Our platform uses advanced encryption and privacy-enhancing technologies like confidential computing, ensuring raw data remains private and inaccessible to anyone other than its owner.

Access a premium partner ecosystem

Connect with our premium partners to seamlessly activate, enrich, and scale first-party data — all in a privacy-safe environment.

Built for all types of users

Business users

Gain new insights and build high- performing custom audiences without writing a single line of code. Leverage your first-party data within a collaborative environment to enhance customer intelligence.

"Decentriq data clean room dashboard shows audience overlap and affinities by segment and age. Secure data collaboration."

Custom collaborations

Supports Python, SQL, and R for unique and advanced analytics use cases

Decentriq platform UI showing data matching for secure collaboration using advanced data clean rooms.

API/SDK

Full and seamless integration/automation with your tech stack

Decentriq demo screenshot showcasing secure data clean room for collaborative analysis between advertiser and publisher.
Abstract teal circles on dark background, representing Decentriq's secure data collaboration and data clean rooms.Abstract geometric design with circles and squares on a dark background, symbolizing secure data collaboration.Abstract geometric design with concentric circles and squares, symbolizing secure data collaboration by Decentriq.

Explore case studies

Enterprise-grade security and scalability

Decentriq is built to meet the most stringent enterprise requirements, ensuring privacy, compliance, and performance at scale. Our platform enables direct analysis within a secure environment.

Robust access control

Seamlessly integrates with Single Sign-On (SSO) for secure user authentication

Enterprise trust

Supported by detailed legal documentation and SOC2 certification

Scalable computation

Process massive datasets: Can run easily of hundreds of GBs

Proven maturity

Supports complex, large-scale collaborations with precision and reliability

Request our technical whitepaper

Please note that accessing this document requires signing a non-disclosure agreement (NDA).

Built in partnership with market-leading hardware and infrastructure providers

Explore data clean rooms

New York City skyline at sunset through glass, symbolizing Decentriq's secure data collaboration solutions.

We now have a solution in hand that shows us in detail where to reach and inspire potential IKEA customers on willhaben inventory — even where we wouldn’t have expected to look for them.

John Oakley, Country Marketing Manager, IKEA Austria

Decentriq lets us work on our anonymized data together with other advertisers, partners, media agencies, or retailers and makes collaborating with them quick and easy.

Sandy Ukat, Lead Data Solutions, AdAlliance

We enabled Samsung to execute highly targeted campaigns outside of walled gardens. Through our Decentriq approach, we enhance Samsung's holistic data strategy and the strategic value of their first-party data.

Sven Wegholz, Director Data Driven Marketing, Publicis Media

Third party cookies have underpinned internet advertising for decades. With its deprecation, publishers and brands have to rethink entirely new ways to reach audiences in a privacy-first world. With Decentriq and confidential computing, Goldbach enables a trust layer, allowing brands to onboard their first party data without compliance risks.

Jochen Witte, former CTO, Goldbach Group AG

Decentriq enables a whole new perspective on how we can innovate with data that wasn't possible before.

Alice Dal Fuoco, Head of Innovation, Postfinance

Using Decentriq’s data clean room solutions is an important milestone for us and our customers in a digital marketing future without third- party cookies.

Mike Falconer, VP of Strategy at Sportradar

Decentriq demonstrated their dedication from the very beginning, guiding us and our collaboration partners through the technology and first-party data activations — quickly becoming more than just a platform provider, but rather a trusted partner on our side.

Bettina Schatz, Team Coordinator for Sales Growth, Data Advertising, and Market Analysis at willhaben

By leveraging Decentriq’s data clean room technology, we achieved a powerful combination of data privacy, precise audience targeting, and performance – a perfect synergy for successful campaigns.

Nadia Schlittler, Digital Account Manager, Converto AG

Frequently asked questions

What results can leave the clean room, and how are outputs controlled?

Only results that have been approved to leave the clean room and whose recipients have been approved to access them can leave the clean room. In the no-code version, this is governed when the creator configures the participants permissions and the turns on the various modules (e.g. audience insights, audience lookalikes). Only aggregated insights and audience identifiers can leave the clean room.

In the Advanced Analytics clean room, this is governed at the computation level, controlling granularly what output can be accessed and by whom.

How do permissions, approvals, and audit logs work across parties?

In the no-code clean room, permissions are set at the creation time to define with pre-defined roles.

In the Advanced Analytics clean room, permissions are defined at the computation-level for maximum control and granularity. Data owners must explicitly approve any computation operating on their data before results can be accessed by external parties.

Both versions offer a transparent and tamper-proof audit log.

What’s required to get started, and which teams need to be involved?

Your data team needs to be involved in order to support the data onboarding to Decentriq.

Data analysts can use the no-code clean room in total autonomy, while data scientists need to be involved for sophisticated collaboration leveraging the Advanced Analytics clean room.

Do more with sensitive data

We’re here to help you tackle your data collaboration challenges. Contact us today to learn more or schedule a demo.