Architecture
Deep Privacy
Every piece of intelligence we build starts with one question: how do we protect the person behind the data?
We’ve invested tens of millions into engineering systems where privacy isn’t a legal afterthought — it’s the architecture itself.
The result: commercially powerful intelligence that consumers never have to worry about.
Structural Privacy
Approaches and Privacy Enhancing Technologies
See it working
Privacy you can interact with.
These are not illustrations. They are working demonstrations of the privacy techniques built into every layer of the platform.
Differential Privacy
Your signal dissolves in noise.
Aggregate behavioural signal across 320M+ profiles. Drag epsilon toward zero. The individual vanishes. The intelligence remains.
Moderate privacy. Higher utility, weaker guarantee.
Privacy Twins
Structure survives. Identity doesn't.
Left: an individual profile, 850+ enrichments. Right: its Privacy Twin. Behavioural structure preserved. Re-identification mathematically infeasible. Drag the divider.
K-Anonymity
No one stands alone in the crowd.
Each dot is a person. Raise k to increase the minimum group size. Red dots are exposed. Green dots are safe. Drag until every individual disappears into a group.
21 individuals exposed.
Hover to reveal what the system sees. Release to re-anonymise.
Follow the privacy architecture into the essays.
The overview shows the system. The articles unpack the proofs, design choices, and commercial implications behind each privacy layer.