Skip to content

The FTH3 Ontology Engine

The Signal Layer predicts.
The Ontology Layer executes.

The Signal Layer reads macroeconomic data (tariffs, wars, trade policies) to predict risk. The Ontology Layer governs the actual financial data migration, step by step, in dependency order. Nothing inferred. Mathematical certainty.

The engine and cockpit architecture

The FTH3 Engine and Cockpit The Signal Layer turns macroeconomic signals into risk forecasts that advise but never write. The Ontology Layer takes legacy SMB data through the FTH3 Sequencer and FTH3 OntoGraph, materializes the graph into relational tables, and renders it in the FTH3OS Cockpit. Broken relationships trigger pause, rollback and human review. SIGNAL LAYER · PREDICTS Macroeconomic signalsTariffs · wars · trade policy Risk modelsRisk prediction Risk forecastsAdvisory only surfaces in cockpit No write path to your financial data ONTOLOGY LAYER · EXECUTES Legacy SMB dataQuickBooksspreadsheets · ERP FTH3 SequencerDependency-by-dependency execution FTH3 OntoGraphGraph ontology +integrity checks Graph-to-RelationalMaterializationRelational tables FTH3OSCockpitLive operationalview Broken relationship → pause · rollback · HITL alert Same inputs, same outputs, every time. Absolute data segregation between clients.

Deterministic Execution

How a migration actually runs.

Every Zero-Touch Graph Migration follows the same deterministic sequence. Nothing is guessed. Everything is verified.

  1. STEP 01

    Ingest the legacy schema

    QuickBooks files, spreadsheets and ERP exports are mapped into a Fracture Map during the LAIS.

  2. STEP 02

    Sequence the dependencies

    The FTH3 Sequencer orders the 90-day migration so nothing moves before the records it depends on.

  3. STEP 03

    Execute step by step

    Each step runs dependency-by-dependency. Nothing is inferred or estimated in your financial data.

  4. STEP 04

    Verify referential integrity

    After every step, FTH3 OntoGraph verifies that every relationship in your data still holds.

  5. STEP 05

    Pause, roll back, escalate

    If a relationship breaks, the engine pauses, rolls back the step and raises a human-in-the-loop alert.

  6. STEP 06

    Materialize for the cockpit

    Graph-to-Relational Materialization writes verified results to relational tables, so the cockpit renders them instantly.

Cognitive Ease

The FTH3OS Cockpit.

Ontology mapping delivered through a zero-friction, spreadsheet-like UI your team already knows how to use. Dynamic schema-awareness means the interface adapts instantly as your ontology expands.

  • No frontend bloat. No cognitive overload.
  • Real-time supply chain optimization, capacity management and downtime prevention
  • Dynamic schema-awareness as the ontology expands
  • Absolute data segregation between every client
  • You stay in control of your data. No AI black box.

See what your legacy data is hiding.

The PARA scores your platform's operational distress and routes you to the right engagement.

Start the $297 PARA View the Ecosystem