// Foundation · Ontology Layer

Semata

One typed model of your world. Semata resolves every source into a governed graph that your AI, your analysts, and your agents all reason on together.

One model. Every source.

Our Ontology layer Semata ingests across every silo — documents, databases, feeds, sensor streams — and resolves them into a single connected graph of entities and relationships. Your AI then queries this model, not raw text.

Unified Data

Every source — documents, databases, live feeds — resolved into a single connected graph. Entities, relationships, and events are explicit, not inferred at query time.

Governed AI

AI that reasons on your data model, not raw text. Every inference is traceable. Every output links back to a source. Hallucination isn't patched — it's architecturally prevented.

Live Reasoning

The fabric updates as new data arrives. Agents, analysts, and automated workflows all query the same live model. Connections surface automatically — you don't have to ask.


Four layers. Fully governed.

NordHird products and platforms are built on the same four-layer stack. From raw data ingestion to auditable AI decisions — each layer has a defined boundary, a defined role, and a defined owner.

LAYER 1

Semata

The data layer. Ingests every source, resolves entities and relationships, and exposes a live queryable graph. The ground truth everything else depends on.

LAYER 2

Reasoning Engine

The inference layer. AI models fine-tuned to your domain run entirely on-premise. No external API calls. Inference stays inside your perimeter.

LAYER 3

Trust & Governance

The policy layer. Every action, query, and output passes through configurable access controls and an immutable audit trail. Compliance is structural, not retrofitted.

LAYER 4

Sovereign Data Plane

The infrastructure layer. On-premise, air-gapped, or domestic cloud. No dependency on foreign hyperscalers. Data stays where it was generated — by architecture, not by contract.


What it does in production.

01

Intelligence Fusion

Combine feeds, records, geospatial context, and analyst annotations into a unified operational picture.

  • Multi-source data ingestion
  • Real-time entity resolution
  • Geospatial-temporal mapping
  • Analyst workspace integration
02

Knowledge Retrieval

Semantic search and document intelligence. Ask questions in plain language. Trace every answer to its source.

  • Natural language querying
  • Source-attributed answers
  • Vector knowledge base construction
  • Continuous content synchronization
03

AI Workflow Automation

Structured pipelines from data ingestion to model inference to reporting. AI that reaches production and stays there.

  • End-to-end pipeline orchestration
  • Local model hosting
  • Automated report generation
  • Zero third-party AI dependencies

Deploy the fabric in your environment

On-premise, air-gapped, or domestic cloud. We'll scope the deployment and integration to your requirements.