Analysis runs where the data lives.
Every participant runs a GateHouse container inside their own environment. Models, queries and agents travel to the data. Raw data never leaves the seller — and never touches GateHouse. Only computed insights cross the boundary.
What cleanroom does.
Bring code to data
Buyer workloads run as OCI containers admitted into the seller's environment under resource and policy limits. The pattern is compute-to-data, standardised across BigQuery, Snowflake, Databricks and existing clean rooms.
Metadata-only mothership
GateHouse central servers receive metadata only — and even that metadata must pass the owner's disclosure-policy gate before it leaves the container. Sovereignty is architectural, not contractual.
One gate, many boundaries
The disclosure gate is a single primitive applied recursively: what leaves the organisation, what reaches a counterparty, what reaches GateHouse itself. Any surface renders exactly what has passed the gates between it and the data.
Clean-room agnostic
GateHouse is the commercial operating layer above your existing clean rooms and warehouses — not a replacement. Keep the venues you already trust; GateHouse wraps the commercial workflow around them.