Interactive public demonstration
From source fields to a governed financial ontology.
Profile representative data, discover concepts, align standards, generate mappings, validate sample records and inspect how ontology supplies evidence to AI.
Public demonstration environmentUse synthetic or non-sensitive examples only. Do not upload personal, confidential, regulated, proprietary, material non-public or trading-sensitive information.
STEP 01 · INGEST
Profile a representative financial source
LOCAL DEMO
| Source field | Detected type | Role | Completeness |
|---|
CANDIDATE MODEL
Review the concepts discovered from field meaning and representative values.
Suggestions are deterministic examples and require a domain expert before production use.
ONTOLOGY MODEL
A modular candidate model separates identity, observations, events and predictions.
Classes0
Object properties0
Data properties0
Constraints0
STANDARDS ALIGNMENT
Reuse industry meaning where it improves interoperability.
These are candidate alignments—not endorsement or automatic equivalence.
SOURCE MAPPING
Make every transformation visible and reviewable.
EXECUTABLE QUALITY
Translate business expectations into representative SHACL constraints.
0Passed
0Warnings
0Failed
CONNECTED EVIDENCE
Select a node to inspect its type, source and semantic relationships.
InstrumentSelect another node to follow the evidence path.
ONTOLOGY-GROUNDED AI
Ask a governed question and inspect the evidence selected for the answer.
SELECT A QUESTION
Ontology turns a prompt into a controlled traversal.
The demonstration will show entities, relationships, evidence and rules used to assemble context.
REUSABLE PACKAGE
Download the candidate artifacts generated from this demonstration.
Outputs are illustrative and must be reviewed before use in a production ontology.
From demonstration to production
Build the first governed domain with your real experts.
Our six-week Financial Semantic Foundation Pilot turns a bounded decision and representative sources into an implementable ontology and graph.
