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Product: Custom Collaborations
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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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
