Cross-Silo
Intelligence
A secure protocol for sharing intelligence between companies without sharing raw data.
Bridging the gap between
silos.
Data silos prevent collaboration. Clean rooms require moving data, and Federated Learning often requires shared model architectures or labeled datasets that don't exist in the wild.
The Solution: Our Representation Exchange Protocol uses unsupervised manifold alignment to create a shared geometric "interlingua." This allows organizations to query each other's knowledge bases using vector representations—receiving only relevant insights without ever exposing underlying records or needing to synchronize model architectures.
Beyond Clean Rooms
Eliminate the need for trusted third parties or massive data transfers. Align intelligence in-place.
Architecture Agnostic
Unlike Federated Learning, our protocol aligns spaces even if one party uses a Transformer and another uses a CNN or legacy system.
Geometric Interlingua
Learns a shared coordinate system for "fraud" or "risk" across institutions without sharing client PII.