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Latest insight Data Clean Rooms vs Traditional Anonymisation

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Link your database — data never leaves your infrastructure.

Anonymise

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Monetise

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· 8 min read

Data Clean Rooms vs Traditional Anonymisation: Why Infrastructure Matters More Than Policy

Tokenisation looks good on paper — but it doesn't survive real regulatory scrutiny. Here's why data clean rooms solve problems pseudonymisation can't touch, and what that means for DUAA 2025 compliance.

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Anonymised at source
0
Single-source traceability
GDPR
EU AI Act compliant by default
The problem

Billions in dormant data value. No infrastructure to unlock it.

01

Companies want to monetise it

Enterprises generate massive datasets they never monetise. Too risky to share, too valuable to ignore. Billions in dormant value sitting idle.

02

AI labs desperately need it

The next wave of LLM training won't run on public data. It will run on real-world signals that were previously impossible to access.

03

The bottleneck isn't supply

It's trust and infrastructure. Data sharing fails because there's no way to guarantee anonymisation or prove compliance at scale. Until now.

From proprietary data to
datasets purpose-built for AI.

1

Connect Your Data

Connect existing databases without moving data. Adam queries live from source — your data never leaves its infrastructure.

2

Anonymise Automatically

GDPR-compliant anonymisation applied on-the-fly. No PII ever leaves your infrastructure — differential privacy and k-anonymity applied before any query resolves.

3

Monetise Securely

List anonymised datasets on the marketplace. Buyers query live, you earn — data never moves. You control access and licensing at all times.

Built for enterprise

Not a marketplace.
The missing infrastructure layer.

Compliance-First

GDPR, EU AI Act, and CCPA compliance built into every pipeline. Not bolted on. Automated DPIA generation and consent tracking.

Anonymous by Design

Raw data never leaves your environment. Cross-source synthesis means no individual record can be traced back — your anonymisation guarantee is structural, not policy-based.

Privacy Engineering

Differential privacy, k-anonymity, and synthetic data augmentation. Your data stays useful while personal information stays protected.

AI-Ready Output

Data products formatted for model training, fine-tuning, and evaluation. Metadata-rich, schema-documented, and ready to plug into ML pipelines.

Trusted by data-forward companies
Data never leaves your infrastructure.
Compliance & security
GDPR
EU AI Act
DUAA 2025
ICO Registered
SOC 2 Type II
Enterprise Encryption
k-Anonymity
Differential Privacy

Your data is worth more
than it's earning today.

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