Turn any source into structured intelligence
Signalis extracts entities, maps relationships, and builds provenance-aware intelligence graphs from WhatsApp conversations, web pages, and documents — deployed entirely on your infrastructure.
> eic.extract({ source: "web", url: "https://target.com/about" })
Scanning DOM... identified 14 entity candidates
✓ PERSON "Jane Kovacs" confidence: 0.94
✓ ORG "Meridian Capital LLC" confidence: 0.97
✓ ROLE "Chief Investment Officer" confidence: 0.91
Linking to graph... 3 new edges created
✓ Intelligence compiled. Provenance recorded.
Intelligence Pipeline
From signal to structured knowledge
Every piece of raw data is a potential intelligence asset. Signalis systematically extracts, normalizes, and links it into a living graph.
Ingest
Extract
Score
Graph
Act
Full provenance chain — every entity and relationship records its source URL, extraction timestamp, and confidence score. Intelligence you can defend.
Core Modules
Built for intelligence work
Each module is purpose-engineered. Together, they form a complete intelligence compilation system.
Chrome Extension
Compile web intelligence in one click
EIC (External Intelligence Compiler) extracts structured entities — people, organizations, roles, locations — from any web page directly into your live intelligence graph. No copy-paste. No manual tagging.
Intelligence Graph
Visualize relationships across all sources
WebGL-accelerated Sigma.js graph with ForceAtlas2 layout renders thousands of entities and edges in real time. Discover hidden connections between people, organizations, and events across every source you've compiled.
Sovereign Export
Push to your Nextcloud, own your data
Export your entire intelligence graph to a normalized 4-table schema (entities, relationships, sources, evidence) in your self-hosted Nextcloud. Air-gapped, GDPR-aligned, fully auditable. Zero vendor lock-in.
Automated conversation intelligence
The Signalis WhatsApp bot monitors designated conversations and automatically extracts named entities, infers organizational relationships from messaging patterns, and builds a living contact graph — without any manual tagging or analyst intervention.
- Entity extraction from natural language messages
- Contact graph built from communication patterns
- Timeline reconstruction across conversation threads
- Confidence-scored entity resolution across sources
→ 2 edges created in graph
System Capabilities
Precision-engineered for intelligence work
Sovereign Deployment
Intelligence that stays
inside your perimeter
Signalis runs entirely on your infrastructure. No cloud dependency, no data leaving your environment. Deploy on bare metal, private cloud, or air-gapped networks. Your intelligence graph is yours alone.
Self-hosted & air-gap capable
Full on-premise deployment. Works in closed networks with zero external dependencies.
Nextcloud-native export
Push structured intelligence directly to your Nextcloud instance using normalized relational schema.
Full audit trail
Every entity, relationship, and extraction event is timestamped and source-attributed. Nothing is ephemeral.
entities
relationships
sources
evidence
Get Started
Ready to compile intelligence?
Signalis is deployed on your infrastructure within hours. Access the platform, connect your sources, and start building your intelligence graph today.
Sovereign deployment · Full source access · No external dependencies