Graph Intelligence
Graph intelligence transforms temporal network data into actionable insights, predictions, and decisions - going far beyond mere relationship storage.
While traditional graph databases focus on the "what" (what nodes exist and how they are connected), Graph Intelligence focuses on the "why" and the "what's next". By incorporating the temporal dimension, Raphtory allows you to track the evolution of a network and detect patterns that are invisible in static data.
Intelligence vs. Storage
| Feature | Traditional Graph Database | Graph Intelligence (Raphtory) |
|---|---|---|
| Primary Goal | Persistent relationship storage | Automated pattern discovery |
| Query Focus | "What exists right now?" | "Why did this happen? What will happen next?" |
| Time Handling | Static snapshots or metadata | Native temporal causality |
| Capability | Correlations and links | Predictive modeling and evolution tracking |
The Intelligence Stack
Raphtory provides a full-stack approach to graph intelligence, moving from raw interactions to automated decision support.
- Decision Support: Risk scoring, recommendations, and impact analysis.
- Analytics Workflows: Real-time alerts, ML feature engineering, and reporting.
- Intelligence Layer: Pattern discovery, anomaly detection, and motif analysis.
- Temporal Graph: The foundation - time-aware relationships stored as immutable history.
Intelligence Capabilities
Explore how Pometry delivers value across the intelligence lifecycle:
NeuroSymbolic RAG
Native integration of temporal graph logic and LLM reasoning.
Generating Insights
Discover patterns, detect anomalies, and trace causality across time.
Analytics Workflows
Deploy intelligence with automated alerts and ML integration.
Decision Support
Drive action with real-time risk scoring and impact analysis.
The Maturity Model
Where is your organization on the journey to graph intelligence?
Level 1: Descriptive
"What happened?" Traditional graph databases provide basic metrics and structural counts. You can see the network, but you can't see it move.
Level 2: Diagnostic
"Why did it happen?" Raphtory enables pattern detection and anomaly identification by analyzing the sequence and rhythm of interactions.
Level 3: Predictive
"What will happen?" Using temporal trends and growth trajectories to forecast future network states, churn, or viral spread.
Level 4: Prescriptive
"What should we do?" Automated decision systems that use graph scores to trigger actions, optimize logistics, or block fraudulent transactions in real-time.
The Raphtory Difference: Most tools stop at Level 1 or 2. Raphtory is designed to take you to Level 4 by treating time as a fundamental structural element.