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.
Read moreBuilding block
AI Interop Services
Coming soonAI 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.
What this enables
What AI Interop Services supports
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.
Read 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.
Read 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.
Read moreApplied domains
Where ai interop services has been used
Financial services
Ontology-grounded risk, compliance, AML, and data lineage for regulated financial workflows.
Read moreEngineering
AI-assisted design for industrial and process engineering, with document-grounded knowledge, simulation integration, and auditable deliverables across regulated sectors.
Read moreHealthcare
Semantic data integration pipelines for medical device data, patient records, and health analytics built on bCLEARer™ architecture.
Read moreMedia rights
Knowledge-driven rights management and content provenance tracking across media supply chains.
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