Data-residency rules make data movement the enemy. If a query can be answered without copying regulated rows out of their jurisdiction, an entire class of compliance risk disappears.
SemanticFed is built to query data in place, pushing computation to the source rather than exporting rows. A model can span regions and clouds while each source’s data stays inside its boundary, and policy controls exactly what may cross.
Teams get a unified view of the business without turning every analytics question into a residency review.
Illustrative pre-launch scenario describing the residency-friendly architecture being built.
This is an architecture-and-policy story. It is not exposed as a standalone web UI flow, so it has no clickable "Do it yourself" walkthrough.
Ready to make this your story?


