HellixMap
Turn any domain into a structured knowledge Map.
Every Map is a readable, navigable model of a knowledge domain, generated from documents, prompts, or BayesiaLab networks, and ready to be queried by AI.
6
Map types
3
creation paths
4
visibility levels
What is HellixMap
A knowledge Map is more than a diagram.
Most knowledge management tools store information as text. HellixMap takes a different approach: knowledge becomes a structured, visual model of a domain.
A Map is a graph of concepts connected by meaningful, labeled relations. It captures the structure of a domain, not only its content, so humans can inspect it and AI systems can reason over it.
Maps range from qualitative Knowledge Graphs to full probabilistic Bayesian Networks with Conditional Probability Tables. The same platform can support philosophical inquiry, document analysis, risk modeling, and scientific decision support.
HellixMap is part of the Bayesia ecosystem alongside BayesiaLab, the flagship platform for Bayesian network modeling.
Every Map is a domain model
Concepts and their relations become structured knowledge that is readable by humans and queryable by AI.
LLM knowledge, made explicit
A prompt can materialize what a language model knows about a topic as a navigable, shareable Map.
Documents become structured knowledge
PDFs, reports, papers, and other files can be analyzed so concepts and relations become graph structure.
Native BayesiaLab publishing
Bayesian networks and Hellixia-generated graphs can be published from BayesiaLab into HellixMap.
Six Map types
From concept maps to Bayesian networks.
Choose the modeling angle that fits the domain. The same creation workflow can produce qualitative semantic structure or quantitative probabilistic models.
Type 01
Knowledge Graph
A general conceptual map where nodes are concepts and arcs are labeled semantic relations.
Type 02
Semantic Flowchart
A Knowledge Graph focused on temporal and sequential relations for processes, workflows, and narratives.
Type 03
Causal Semantic Diagram
A graph centered on causal relations for root cause analysis, policy analysis, and decision support.
Type 04
Causal Bayesian Network
A causal Bayesian network with directed probabilistic relations and textually described quantification.
Type 05
Risk-Centric Causal Network
A Bayesian network structured around risk factors, controls, consequences, and mitigation actions.
Type 06
Unconstrained Bayesian Network
A full Bayesian network imported from BayesiaLab with complete Conditional Probability Tables.
How it works
Three paths to your Map.
Start with a prompt, source documents, or a model created elsewhere in the Bayesia ecosystem.
From Prompt
Describe the domain you want Hellixia to map. The LLM's implicit knowledge is materialized as structured graph content.
Optional Context Files can ground prompt-based Maps in specific references.
From Documents
Upload one or more source documents. Hellixia extracts concepts and relations to represent their content as a Map.
Supports PDF, DOCX, XLS, PPTX, HTML, and audio sources.
Import or Publish
Import a BayesiaLab XBL network or a HellixMap JSON export. BayesiaLab users can publish in one click.
A FIFO slot can always display your latest published network.
Platform capabilities
Everything a knowledge Map needs.
HellixMap combines graph visualization, AI augmentation, access control, metadata, and interoperability in a browser-native publishing environment.
Capability 01
Deep visualization
Explore large graphs with multiple layouts, node display modes, arc comment controls, class filtering, search, and neighborhood views.
Capability 02
Augmentation
Enrich a Map from a specific node or from the whole graph. The original stays preserved while the augmentation becomes a new Draft.
Capability 03
Translate and duplicate
Translate Maps into twelve languages, duplicate your own Maps, or remix public Maps from the community.
Capability 04
Granular access control
Choose Draft, Public, Unlisted, or Private visibility with email ACLs, wildcard domains, and reusable Access Groups.
Capability 05
Rich metadata and discovery
Tag Maps by field of study, analysis type, model type, model origin, complexity, and target audience.
Capability 06
Export and interoperability
Export Maps as JSON, import them back into HellixMap, or round-trip Bayesian networks through BayesiaLab XBL.
Sharing and visibility
Share with precision.
Move from private work-in-progress to public knowledge contribution with clear discovery and authentication rules.
Draft
Work in progress
Visible only to you. The default status for editing before sharing.
Public
Open to the world
Listed publicly and accessible to anyone for shared knowledge contributions.
Unlisted
Link-only access
Not listed publicly, but accessible to anyone with the direct URL.
Private
Email whitelist
Restricted to defined users or wildcard domains with authentication required.
Plans
A Plan for every scale.
Start for free, expand with professional tiers, or license HellixMap for enterprise deployment.
Free tier
Scout and Pathfinder
Free. No credit card required.
- Scout uses LLMs provided by Bayesia.
- Pathfinder supports BYOK with expanded capabilities.
- Mono-document analysis, Draft and Public Maps, visualization, Hellix, and BayesiaLab integration.
Pro tier
Seeker to Architect
From EUR20 / month with BYOK or bundled LLMs.
- Practitioner includes premium LLM access.
- Analyst supports multi-document analysis up to 25 sources.
- Architect expands to 50 sources with unconstrained capabilities, Private Maps, Translate, Duplicate, and Export.
Enterprise
Custom
On quote for volume licenses.
- Volume pricing, centralized billing, and dedicated support.
- Optional SSO, SLA, custom contracts, and NDA workflows.
- On-premise deployment option for controlled environments.
Hellix AI Assistant
Your Maps, conversational.
Every Map in HellixMap comes with Hellix, an AI assistant that can navigate graph structure or answer questions directly from the mapped domain knowledge.
Explore the Map structure
Ask about hubs, communities, paths, strong relations, and clusters. Clickable node references jump directly into the visualization.
Query the domain knowledge
Ask in the vocabulary of the domain. GraphRAG uses the Map's structure to enrich synthesis, key points, recommendations, and FAQs.
Voice input, voice output, multilingual responses, RAG, GraphRAG, and whole-graph modes are supported.
Hellix graph intelligence interface
Live knowledge graph
HellixMap explains itself.
The complete HellixMap documentation has been structured as a Knowledge Graph with 101 nodes and 149 semantic relations. Open it and ask Hellix anything about the product.
Questions you can ask Hellix now