Ontology-first
Structure before models. Where Semata is the right fit, we map your data stack into one typed, governed model before AI is allowed to reason on it.
// ABOUT · NORDHIRD
Because AI that reasons on fragmented text will always fail when the stakes are real. NordHird builds the typed, governed data layer that makes intelligence software work — and runs entirely inside your perimeter.
// OUR MISSION
Most AI fails in production because it reasons over fragmented text. Our mission is to give organizations a typed, governed model of their own data — so intelligence software actually works, and keeps working.
Structure before models. Where Semata is the right fit, we map your data stack into one typed, governed model before AI is allowed to reason on it.
NordHird is built in Canada, on Canadian infrastructure, for organizations that need AI they fully own — sovereign by architecture, not by contract.
The model, data plane, and deployment boundary are designed together, so control is built into the system instead of negotiated after the fact.
// WHO WE SERVE
AI that reaches production. NordHird turns existing data stacks into governed intelligence workflows, using Semata where an ontology layer gives the mission the right foundation.
Built for agencies that cannot compromise on sovereignty or security. Every system operates inside your perimeter, on your hardware, with full auditability and no foreign cloud dependency.
// SOVEREIGNTY BY DESIGN
Mission is what we build. Sovereignty is how it runs: inside your perimeter, at the model layer, the infrastructure layer, and the data layer — never on a foreign cloud.
Models deployed on your infrastructure. No external API calls. No data leaving your perimeter. You own the model and the outputs.
Built on Canadian infrastructure. Air-gap capable. No dependency on US or foreign hyperscalers. Compliant by default.
Your hardware, your rules. Engineered for the most demanding compliance environments — classified, regulated, or otherwise restricted.
// GROUNDED AI
When AI runs on Semata, it does not reason over loose text. It reasons over the ontology — so every claim it makes can be traced back to the record it came from.
Every dataset lands in the ontology as typed objects — registered with schema, source, freshness, and full lineage from raw source to materialized object.
Models answer by composing graph traversals and retrieval over your real records — GraphRAG, not open-web guesswork.
Every answer carries citations to the exact objects it was built from. Auditable by design — no unsupported claims.
A small number of enterprise and government engagements. If you're serious, we want to hear from you.