Graphynt Architecture

System Design & Components

System Architecture

Neuro-Symbolic Decision Platform

A glass-box AI system that combines graph memory, policy engines, and real-time processing to deliver explainable decisions at retail scale.

System Components

Event Stream
Real-time retail events
ADD_TO_BASKETLive
RETURN_REQUESTEDLive
PURCHASE_COMPLETELive
Decision Engine
Policy-driven processing
Latency<150ms
Throughput10K/sec
Accuracy94.7%
Graph Memory
Neo4j-style relationship store
2.4M
Nodes
18.7M
Edges
Customer → SKU → Category → Store relationships with weighted edges
Audit System
Complete decision traceability
Trace StoragePersistent
ComplianceSOX Ready
ExplainabilityHuman Readable
Performance
Decision Latency<150ms
Graph Query<50ms
Throughput10,000 events/sec
Availability99.9%
Data Scale
Transaction Lines500K+
Customer Nodes1.2M
SKU Nodes850K
Relationships18.7M
AI Capabilities
Decision Accuracy94.7%
Policy Rules50+ Active
Explainability100%
Audit CoverageComplete
Decision Flow Pipeline
How events become audited decisions in <150ms
1

Capture

Event ingestion and validation

2

Reason

Graph queries and policy evaluation

3

Act

Decision generation with confidence scores

4

Explain

Audit trail and human-readable explanation

Experience the Architecture in Action

See how these components work together in our interactive demo