Coming Soon: Dynamic Visualization Engine

Beyond Click‑Click UIs

Your EKN doesn't just answer questions—it generates the perfect interface for exploring each insight, in real‑time, during conversation.

The Past

Static Dashboard Interfaces

📊 Click "Charts" tab
🗓️ Click "Timeline" button
🗺️ Click "Map" view
đź“‹ Click "Data" table

Pre‑built views. Manual navigation.
You figure out which visualization to use.

Enliterator

Conversation‑Generated Interfaces

đź’¬ "Show Arctic research trends"
→ Timeline + Map materializes
🗣️ "Who collaborated with Dr. Smith?"
→ Network graph appears
🎯 "Evidence for climate impact"
→ Citation panel emerges

Interfaces emerge from your questions.
Graph‑bounded visualization generation.

How Dynamic UI Generation Works

Your EKN analyzes graph patterns in real‑time and generates the perfect interface for each insight—during conversation, not as separate mode.

1

Graph Analysis

EKN queries Neo4j knowledge graph and identifies entity patterns: temporal sequences, spatial clusters, relationship networks.

2

Component Selection

AI determines optimal visualization: timeline for temporal data, maps for spatial queries, networks for relationships.

3

Interface Materialization

WebSocket streams UI specs to frontend. Components render instantly—like Vite hot‑reload but driven by conversation.

The Experience

Imagine interfaces that adapt to your insights, not the other way around.

Natural Conversation

"What Arctic research happened near Greenland in the 1990s?"

Instead of hunting through menus, your EKN analyzes the spatial + temporal patterns in your knowledge graph and generates a map with timeline scrubber—instantly.

Graph Pattern Detected: Spatial entities + Temporal bounds + Research domain

🗺️

Interactive Map + Timeline

Generates automatically from graph analysis

🕸️

Collaboration Network

Relationship visualization emerges

Relationship Exploration

"Show me Dr. Sarah Chen's research collaborations"

EKN detects relationship queries and generates an interactive network graph showing connections, co-authorships, and project overlaps—no clicking through tabs.

Graph Pattern Detected: Central entity + Relationship traversal + Network analysis

Evidence Synthesis

"What evidence supports the ice sheet acceleration theory?"

Citation panels and evidence cards materialize as the EKN traces provenance paths through your knowledge graph, showing supporting and contradicting evidence with full attribution.

Graph Pattern Detected: Evidence entities + Provenance links + Rights metadata

đź“‹

Evidence Dashboard

Rights-aware citation interface

Built on Graph‑Constrained Intelligence

Unlike generic AI that hallucinates interfaces, EKN dynamic UI is bounded by your actual knowledge graph— reliable, grounded, and always traceable to source data.

Neo4j Knowledge Graphs

Structured knowledge boundaries

Real‑time WebSockets

Instant UI materialization

Rights‑Aware Generation

Respects data permissions

MCP Collaboration

Nested EKN architectures

Beyond Static Dashboards

The future of data exploration isn't clicking through predetermined views— it's having interfaces emerge from the conversation itself.

Dynamic visualization launches Q2 2025 • Built on graph‑constrained intelligence