Data Cleanroom

A secure data cleanroom where organizations jointly analyze shared datasets — powered by multi-party computation, with no raw data ever leaving its source.

Multi-Party ComputationJoint Analytics
Visit Data Cleanroom Platform

Bring Your Own Data

Each participant contributes data that never leaves their own environment in the clear.

Multi-Party Computation

Joint queries run across encrypted inputs from multiple parties at once.

Verified Output Only

Only the agreed-upon result — a match, a score, an aggregate — is ever released.

How It Works

From separate datasets to one verified answer, in four steps

1

Contribute

Each party connects its own dataset — nothing is copied or centralized.

2

Encrypt & Isolate

Inputs stay encrypted and isolated within the cleanroom throughout.

3

Compute Jointly

The agreed query or model runs across all parties’ data at once.

4

Release Verified Output

Only the final, agreed-upon result is shared back out.

Where It's Used

Any time two or more parties need one answer, not each other's data

Telco–Bank Fraud Prevention

Telcos see the warning signs of fraud — SIM swaps, call forwarding, new devices — before banks do. Let banks act on those signals in real time, without either side sharing customer data.

Read the use case

Alternative Credit Scoring

Score thin-file and underbanked customers using telco behaviour — number tenure, payment regularity, usage stability — computed privately, with only a score released.

Read the use case