Decentriq
Confidential-computing clean room
Best for enterprise publishers.
Summary review · Last verified Nov 11, 2026 · Scored on 9 criteria · Vendors can't pay for scores
Research by Vahe Arabian · Scored and edited by the SODP team
Key facts
- Score
- 3.0 / 5
- Tier
- Marginal Fit
- Pricing model
- Custom enterprise pricing
- Type
- Clean room
- Publishers using it
- 2
- Founded
- 2019
- HQ
- Hellsau, Switzerland
- Headcount
- 26
At a glance
- Decentriq scores 3.0/5 (Marginal Fit) in Benchmark Grid's independent data clean rooms benchmark, assessed on 9 published criteria.
- It is built for enterprise publishers.
- Strongest on Privacy & Regulatory Compliance (GDPR/CCPA) (4.6) and Publisher Data Control & Governance (4.2); weakest on Integration & Onboarding Effort (1.8).
- Pricing: Custom enterprise pricing.
- 2 publishers in our tracking use Decentriq, from ads.txt files, page code and public case studies.
- Scores last verified 11 Nov 2026. Vendors cannot pay for a score or a position.
Summary
Editor's update, October 2026: 19 Oct 2026 accuracy audit: activation and identity re-scored, media positioning added, empty copy written.
Clean-room-native data collaboration and audience platform for the media ecosystem, using confidential computing so publishers, retailers and advertisers can build, match and activate audiences without exposing each other's records.
Decentriq is an independent, Zurich-based clean-room platform for data collaboration in media and advertising. Its clean rooms use confidential computing and encryption so data stays protected during processing, and its Collaborative Audience Platform adds CDP- and DMP-style capabilities on top. It is aimed at publishers, retailers and advertisers that want to collaborate on audiences without handing over raw data.
Its standout is that collaboration leads directly to activation: the platform supports segmentation, identity resolution, activation and reusable audience products, with partner discovery across its network and activation across premium publisher, retail media and CTV inventory. Publisher-side users include Goldbach, Ad Alliance and willhaben, and its site links a New York Times case study.
The limitations are documentation and cost visibility. Specific technical integrations are not listed publicly, onboarding a confidential-computing environment takes specialist effort, and pricing is custom.
Score breakdown
3.0 = 0.45 × 3.24 capability + 0.40 × 3.50 publisher fit + 0.15 × 1.20 cost
Σ (criterion rating × weight) across 9 criteria · scale 1 (poor) → 5 (excellent)
Confidential computing and secure enclaves provide top-tier, hardware-enforced privacy guarantees for sensitive data processing.
14% of capability · What we check: The tool provides automated audit trails and consent management features to ensure all data processing meets current privacy legal requirements.
Identity resolution is a listed platform capability, used by publisher partners to onboard first-party data and build cookie-free audience profiles.
14% of capability · What we check: The system matches first-party identifiers against partner data sets with high accuracy and minimal data loss rates during the process.
Governance is inherently high due to the strict technical control and auditability offered by secure enclaves.
12% of capability · What we check: Publishers define granular permission settings to restrict who accesses their raw data and prevent unauthorized data extraction or re-identification.
Partner discovery and a network spanning publishers, retailers and advertisers are offered, though specific technical integrations are not listed.
12% of capability · What we check: The platform supports standard APIs to connect directly with major ad tech vendors, demand-side platforms, and external cloud storage providers.
Allows for complex data analysis, though the secure enclave environment can create limitations compared to standard flexible database queries.
12% of capability · What we check: Users run complex SQL-based queries across joined datasets to generate custom reports without needing to move data out of storage.
The Collaborative Audience Platform supports segmentation, activation and reusable audience products across publisher, retail media and CTV inventory.
10% of capability · What we check: The tool pushes segmented audience lists directly to programmatic platforms or activation channels through pre-built secure connectors.
Deploying confidential computing environments requires significant technical integration and specialized enterprise onboarding.
10% of capability · What we check: Technical teams complete the initial account setup, data ingestion pipeline configuration, and system testing within four weeks of deployment.
The requirement for custom enterprise pricing typically correlates with high barrier-to-entry costs and complex commercial engagements.
8% of capability · What we check: The pricing structure uses transparent usage-based or subscription fees with no hidden costs for data ingress or platform maintenance.
Reporting functionality is limited to the outputs defined by the confidential analysis performed within the secure environment.
8% of capability · What we check: The dashboard displays cross-channel performance metrics and attribution data while preventing individual user tracking through differential privacy techniques.
Decentriq scores 3.0/5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark (benchmarkgrid.com/best-data-clean-rooms-for-publishers/decentriq, verified Nov 11, 2026)
Strengths & limitations
Strengths
- Technical privacy guarantees rather than contractual ones
- Audiences can be built and activated, not just analysed
- Independent vendor with publisher customers
Limitations
- Technical integrations are not listed publicly
- Onboarding needs specialist effort
- Custom pricing with no public tiers
Who uses it
Detected from site code, ads.txt records and published case studies — not from the vendor's own customer list. 1 confirmed, 1 seen in a single source.
By publisher size
By content vertical
Publishers running Decentriq2
- The New York TimesEnterprise· News
- Singapore Press HoldingsEnterprise· News· reported
Cost of ownership
Pricing
Custom enterprise pricing
Pricing unclear for your setup? — we'll make the introduction. Free, and it never affects the score.
Cost data sourced from vendor pricing pages and community signals. Vendors may dispute any factor.
What users say
Users report strong performance gains and privacy-compliant audience activation, though some developers note challenges regarding technical documentation and environment setup requirements.
Sources: Blog 33% · X 33% · Trade press 33%
Most discussed
Recent quotes
"Publicis Groupe has teamed up with confidential data collaboration platform Decentriq to develop privacy-first artificial intelligence and data within AI, marketing and media."
Positive·Blog·via MM+M
"Decentriq helps power launch of Synthetic hEalthcare dAta goveRnanCe Hub (SEARCH) consortium."
Positive·X·via Trust Valley
3 mentions from 3 independent sources, each read and scored by our analyser. Mentions we could not tie to a real user, and those flagged as promotional, are excluded. Sentiment is opinion, and is independent of the verified publisher adoptions shown above.
The company behind Decentriq
Company facts come from an independent business-data record rather than the vendor's own site.
- Founded
- 2019
- Employees
- 26
- Headquarters
- Hellsau, Switzerland
- Ownership
- Privately Held
Who can implement it
Agencies and resellers that help publishers deploy Decentriq. A stronger ecosystem means lower implementation friction. Sourced from Decentriq's published partner directory.
- 366 communitiesListed· other
- AdAllianceListed· other
- AGFListed· other
- Audience LogicListed· other
- AudienzzListed· other
Compare Decentriq
The head-to-heads publishers look at most, then the closest contests in the same benchmark.
FAQ
How is Decentriq scored?
Decentriq scores 3.0 out of 5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark. The overall figure blends capability (45%), publisher fit (40%) and cost of ownership (15%). Capability is itself a weighted average of 9 criteria; the heaviest are privacy & regulatory compliance (gdpr/ccpa) (14%), identity & matching quality (14%) and publisher data control & governance (12%). Vendors cannot pay for a score.
What size publisher is Decentriq built for?
Decentriq is built for enterprise publishers. That is the vendor's own stated target, and it is one of the inputs to our publisher-fit score — a platform that suits a national newsroom often carries more operational load than a small one can absorb.
What does Decentriq cost?
Custom enterprise pricing Our cost-of-ownership score is 1.2/5, which weighs pricing transparency, entry cost, implementation cost, hidden-fee risk and ongoing cost. Ask the vendor for a written first-year figure that includes implementation before you commit.
Who uses Decentriq?
We have evidenced 2 publishers running Decentriq. Adoptions are detected from site code, ads.txt records and published case studies rather than taken from the vendor's own customer list, and each one is listed on this page.
Can Decentriq pay for a better score?
No. Scores come from our editorial review of the product's documentation, demos and public evidence. A vendor can claim this listing or request a re-review, but nothing they buy changes a score or a position.
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