Data clean rooms & privacy-enhancing tech · Decentriq AG
Decentriq
Confidential-computing clean room that runs analysis inside hardware-encrypted enclaves so no party, including Decentriq, can see the raw data.
Decentriq's clean room is built on confidential computing: queries execute inside hardware-based trusted execution environments (encrypted enclaves), so data is encrypted while it is being processed, not only at rest or in transit, and Decentriq states that neither the collaborating parties nor Decentriq itself can access the raw data during a computation. This is a stronger, more specific claim than aggregation-only clean rooms make, since it protects against the operator as well as the counterparty. It is used across media, healthcare and financial services for cases such as audience overlap measurement, cross-institution fraud analysis and pharmaceutical data collaboration, where regulatory or competitive sensitivity rules out even a trusted third-party host seeing raw records. It works across clouds and does not require both parties to already share a data platform.
At a glance
| Vendor | Decentriq AG |
|---|---|
| Pricing model | Quote only |
| Free tier | No |
| Deployment | Cloud |
| Open source | No |
| Best for | Regulated industries (healthcare, finance) that need collaboration where no party, including the vendor, can see raw data. |
Pricing
Enterprise pricing quoted per engagement; no public price list found.
Pricing has not been verified yet — see the vendor's site.
Features
- Confidential computing (hardware-encrypted enclaves) for computation
- No raw-data visibility for either collaborator or Decentriq
- Cross-cloud, cross-industry data collaboration
- Media measurement and overlap analysis
- Healthcare and life-sciences data collaboration use cases
- SQL and custom analysis logic inside the enclave
Integrations
Profile last reviewed September 21, 2026