Four instruments.
Three engines.
Each module is built on top of the same self-organizing knowledge graph.
The same Ground Truth. Four instruments to navigate the living model of your organization. Three engines that power them.
One graph. Every answer traceable to a human-curated concept.
Module 01
Explorer
Search & Navigate · Ontology-Augmented Generation
The enterprise that answers its own questions →Not a chatbot.
An agent-driven analytics and visualization layer grounded in the knowledge graph. Plain-language queries produce cited, auditable answers.
Every statement grounded to a specific graph node.
If it isn't in the graph, the Explorer doesn't invent it.
3-Agent Swarm
Cost per query: ~$0.01–0.05 (Claude Sonnet)
Module 02
Intelligence Canvas
Prompt-Driven Insight · Ontology-Grounded Lineage
“Ask a question. Get a dashboard with lineage back to the ontology.”
Traditional BI tools give you tables and cubes.
Intelligence Canvas gives you prompt-driven dashboards with drill-down into every dimension.
And full data lineage grounded in the ontology, not just schema metadata.
One question generates a living visualization connected to the knowledge graph.
- Prompt-to-dashboard. Ask in plain language, get a living visualization with drill-down
- Full data lineage grounded in the ontology. Not tables and cubes, but concepts and meaning
- Per-concept governance clearance on every node. Not just role-based dashboard access
- Continuous drift detection. Any asset that loses its concept link is flagged in real time
Advanced Capabilities
“One question. One dashboard. Every dimension traceable back to the ontology.”
Module 03
Simulator
What-If Analysis · Fork the World
Consequence before commitment →Create an isolated fork of your digital twin.
Introduce a change.
Deprecate a service, add a compliance rule, change an API.
And see the full impact cascade across the entire graph before touching anything real.
Pre-built projections (banking sim)
Module 04
Transformation Map
Spatial Navigation · 2D Overview → Immersive 3D World
The living enterprise, made navigable →The living knowledge graph projected into navigable space.
Business concepts float to the top (strategy stratum), code chunks sink to the bottom (technology stratum), services and schemas populate the middle.
The topology is meaningful.
A tangled region signals architectural complexity without needing a label.
2D Transformation Map
Interactive network of all concepts and relationships.
Filterable by approval status, domain pack, or business process.
The executive overview.
3D World
Immersive spatial environment with Three.js WebGPU.
Zoom from strategy to source code in a single navigable space.
Add new objects in 3D and see business impact in real time.
Engine 01
Data Lineage
Traceability · Compliance Audit Trails
Full lineage deep dive →Trace any concept backwards through the entire technical stack.
Business concept → API endpoint → schema field → source code function → compliance requirement.
End-to-end in seconds. Not weeks.
The Grounding Chain
Change a concept, see every asset affected. The blast radius is computable, not guessed.
Engine 02
Communities
AI-Discovered Clusters · Hidden Structure
How communities reveal hidden structure →Graphiti's LLM-powered community detection groups densely connected concepts into clusters.
The hierarchy isn't just what humans defined. it's augmented by what AI discovered in your codebase.
Unexpected connections between departments that no org chart shows.
Example Community (Banking Sim)
"Loan Risk Management & Collateral Protection"
Automated Valuation Model, Covenant, Deficiency Judgment, Collateral Assessment — concepts that interact densely in the mortgage lending domain, discovered automatically.
Each community gets an AI-generated summary explaining how its members interact.
Engine 03
Evolution Lifecycle
Continuous Quality · Drift Detection · Org Health
The ontology is alive. It evolves as your organization changes.
Evolution Lifecycle monitors its health continuously. not as a one-time audit,
but as a living signal that tells you when attention is needed.
Four Quality Mechanisms
Deterministic + AI-powered. First two mechanisms are pure math. Last two use LLMs. Together: continuous quality.
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