Structure that makes knowledge findable
Define the entity types, relationships and rules that give structure to your knowledge. Weeki's ontology layer enables AI agents to navigate, understand and act on your data with precision.
Trusted by leading Innovators and Enterprises
The Ontology layer is the descriptive index of your knowledge space. It defines entity types (documents, agents, skills, zones), relationships (belongs_to, depends_on, implements), and indexing rules that ensure consistency. Combined with knowledge graphs and Bayesian causal networks, it lets AI agents route queries, understand context, and discover non-obvious connections.
How It Works
From unstructured data to a navigable knowledge graph.
Define entity types
Classify your knowledge objects — documents, modules, zones, agents, skills. Each type has properties, routing metadata, and compatibility rules.
Map relationships
Define how entities relate — belongs_to, depends_on, implements, generates. Build a graph that captures your organization's real structure.
Query & discover
AI agents traverse the graph to find related entities, detect gaps, and surface unexpected connections. Causal views reveal impact chains.
What You Get
Cost Reduction
Automated entity classification and relationship extraction reduce the manual effort of knowledge organization by orders of magnitude.
Speed Improvement
Agents navigate your knowledge graph in milliseconds, finding related entities and context that would take humans hours to trace.
Quality & Risk
Type cohesion rules and compatibility checks prevent inconsistencies. The ontology serves as a quality contract for your knowledge structure.
Ready to transform your data into value?
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