Document knowledge extraction
Runs LLM-powered extraction pipelines that parse complex documents into structured, source-anchored knowledge elements with provenance back to the original text.
Learn morePlatform component
AI Interop Services
AI Interop Services connect large language models, document extraction engines, and retrieval-augmented generation to the ontology-grounded knowledge layer. The service handles prompt orchestration, structured output parsing, and source-anchored provenance so that every AI-generated insight can be traced back to its evidence. It supports multi-model routing, approval-gated agent workflows, and domain-specific fine-tuning hooks.
Capabilities
What AI Interop Services powers.
Semantic data integration
Provides multi-model AI routing and structured output parsing that transforms unstructured and semi-structured sources into ontology-aligned data ready for integration.
Learn moreAuditable digital thread
Records every AI inference, prompt, and model version in the provenance chain so that AI-generated insights carry full traceability from input to output.
Learn moreAI agent orchestration
Orchestrates multi-model agent workflows with approval gates, tool routing, and structured output parsing — letting AI handle the groundwork while humans make the judgement calls.
Learn moreDomains
Industries using ai interop services.
Engineering
AI-assisted process design with document-grounded knowledge, simulation, and auditable deliverables for safety-critical engineering.
Explore domainHealthcare
Semantic data integration pipelines for medical device data, patient records, and health analytics built on bCLEARer architecture.
Explore domainFinancial services
Ontology-grounded risk, compliance, and data lineage for regulated financial workflows.
Explore domainMedia rights
Knowledge-driven rights management and content provenance tracking across media supply chains.
Explore domain