Build products for a more resilient future

Discover insights from previously inaccessible data with data clean rooms by Decentriq. Easy-to-use, compliant and scalable.

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The more data you have at hand, the better you will be to assess risk.  At the same time, much of the necessary data is restricted - whether due to regulations or the sensitive nature of the data.

Decentriq helps you unlock and share these critical data assets with stakeholders through data clean rooms, completely within GDPR and other regulatory objectives.

How Insurances Use Data Clean Rooms

Insurance Fraud Detection
Cross-Border Analytics
Customer Lead Conversation

Confidentially match insurance claims data to find potential duplicate claims, surfacing any "double dipping" fraud schemes.

Decentriq provides maximal flexibility and accuracy for matching logic from hard match to probabilistic matches.

Combine data across different jurisdictions and entities for risk and compliance reporting, all within regulatory guardrails.

Participating entities can submit data through the clean room and run aggregated statistics while complying with the regulation.

Easily share data with insurance aggregators to drive efficient and high converting customer acquisition initiatives.

With access to insurance aggregator data, insurers can identify underserved population and better inform their product strategy.

Do you have another use case in mind? Our solution is easily scalable and adaptable. Reach out to us.

What banks say about Decentriq

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


“Our partnership with Decentriq provides an innovative example of how businesses can better embed data protection into their application design and build cross-organizational data ecosystems."


"Decentriq’s confidential analytics platform offers the possibility to work together with other financial partners in a fast and easy way."

Credit Suisse
How Decentriq makes you future -proof. Today.

To understand how Decentriq's data clean rooms simplify data protection compliance for enterprises (GDPR), click here.

Frictionless & scalable workflow
Our easy-to-use and scalable platform enables you to collaborate with unlimited partners on first-party data within minutes.
Easily create your Data Clean Rooms via UI or API and invite external users with or without a license​. ​

Privacy & security guarantees​
We leverage the latest encryption in-use technology, called confidential computing.​​
This removes the need for trust as no one can see your data, not the other participants, Decentriq nor the cloud provider.​

Transparency & trust​
We successfully passed multiple security and compliance audits.​
Approved for use on customer banking data by financial services institutions, and for use on patient data by the Belgian Data Protection Agency and healthcare institutions.​

Want to test Decentriq? 

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Industry Resources

Webinar: Swiss Re, Intel & Decentriq
Industry: Insurance

Swiss Re is one of the leading and largest re-insurance firms in the world. As a data-driven, risk knowledge company, Swiss Re constantly pursues initiatives to test new data driven technologies.

Watch on-demand for a webinar co-hosted between Swiss Re, Intel and Decentriq on how insurance institutions can unlock the value of private data.

Interesting articles
Case Study: Swiss Re, Intel & Decentriq

Swiss Re explores further protection of critical data using confidential computing, powered by Intel SGX technology and enabled by Decentriq. Request the case study today.

What are data clean rooms?

You heard the term mutiple times already, but what exactly are data clean rooms? How do choose the right one for your organization?

How Decentriq's data clean rooms simplify GDPR compliance for enterprises

Decentriq makes it even easier for your enterprise to comply with GDPR even while you collaborate on your most sensitive and restricted data.

Get in touch

Interested in how Decentriq can solve your current challenges? Request a free demo and consultation.


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