Document knowledge extraction
Receives extracted knowledge elements and constructs governed, queryable knowledge graphs that preserve the provenance and structure established during extraction.
Learn morePlatform component
Knowledge Interop Services provide the graph-backed layer that turns extracted data into governed, queryable knowledge. The service supports knowledge construction from heterogeneous sources, SPARQL and Cypher querying, and policy-driven access control. It bridges the gap between raw AI extraction and the structured domain models that downstream applications consume.
Capabilities
Receives extracted knowledge elements and constructs governed, queryable knowledge graphs that preserve the provenance and structure established during extraction.
Learn moreProvides the graph-backed integration layer that merges data from multiple sources into a unified knowledge model with policy-driven access control and governance.
Learn moreMaintains the queryable knowledge graph that connects source data, extracted knowledge, and domain decisions — making the full digital thread searchable and auditable.
Learn moreExposes the knowledge graph as a queryable context layer that AI agents use to ground their reasoning, ensuring agent outputs are consistent with governed domain knowledge.
Learn moreDomains
AI-assisted process design with document-grounded knowledge, simulation, and auditable deliverables for safety-critical engineering.
Explore domainSemantic data integration pipelines for medical device data, patient records, and health analytics built on bCLEARer architecture.
Explore domainOntology-grounded risk, compliance, and data lineage for regulated financial workflows.
Explore domainKnowledge-driven rights management and content provenance tracking across media supply chains.
Explore domain