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Data clean rooms for custom collaborations

Extract more value from sensitive data with custom collaborations

Analyse anything without revealing PII or proprietary data. Run even advanced AI and ML models.

Explore how privacy-first data clean rooms create new possibilities

Secure AI and LLMs

Train models and query large language models without sharing data externally thanks to confidential computing.

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Analyse anything while protecting PII

Use even the most sensitive data without revealing it — like the Swiss Department of Defense and several Swiss banks did.

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Your custom use case

Collaborate with partners while protecting proprietary data — like GSBN and HSBC did with global shipping data.

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Link and analyze data that stays protected

With built-in privacy enhancing technologies, our clean rooms keep data confidential, even when you make it available for use.

How secure data collaboration works in Decentriq

Invite partners and control access to results

Add collaborators and control who can see results from the clean room. You can add external consultants who can configure the clean room but have no access to the raw data.

Review and run custom code

Your partner or consultancy can submit computations in Python, R and SQL. You can then review the code and verify that it’s running analyses that you agreed on.

Get the results of your analysis

Once the calculations are run, approved parties can view and export the results of the analysis. Raw data stays completely confidential throughout.

Analytical flexibility meets absolute data privacy

No other data clean room solution on the market gives you the flexibility to build any use case, while sensitive data stays completely private and confidential.

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

The partnership with Decentriq is an important milestone for us and our customers in a future without third-party cookies in digital marketing. Next to classic media use cases like planning, activation and measurement, we can bring different customers together to collaborate on brand new applications of first-party data — while they retain absolute control over their own datasets.

Sven Wegholz, Executive Director Data Strategy, Publicis Media

3rd 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 1st party data without compliance risks.

Jochen Witte, 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

Decentriq's privacy preserving analytics provide a valuable tool in defending supply chains without compromising on sensitive data or trade secrets.

Chris Inglis, National Cyber Director of the United States, Biden administration

See how secure collaboration is transforming how organizations across industries use sensitive data

Do more with sensitive data

Secure collaboration could be the key to unlocking value from data you thought was too sensitive to use. Contact us today to learn more or schedule a demo.