Ontology-grounded semantic AI

A research-led approach to building trustworthy semantic AI

An open architecture for systems that are transparent, traceable, and trustworthy — combining foundational ontology with modern AI to turn filings, engineering documents, and compliance records into auditable decisions. Regulatory conformance and audit fall out of the same end-to-end transparency, rather than being a separate process bolted on.

Layered isometric diagram of a knowledge graph: a top plane of grid coordinates feeds a middle plane of densely interconnected concept nodes, which in turn anchors a lower plane of typed data blocks, with a small number of nodes accented in brick red.

The approach

A shared architecture, applied across domains

Everything built here shares a common backbone — rooted in 35+ years of ontology research and developed on top of BORO™’s open-source libraries.

Ontology-grounded identity

Deterministic, content-addressable identity powered by the BORO Foundational Ontology and the bCLEARer™ framework.

Every data object carries a traceable, collision-resistant identity that enables full provenance across the system. Built on top of BORO’s open-source libraries.

Read about BORO

AI with accountability

LLM-driven extraction and reasoning grounded in source documents, not hallucination.

AI operates alongside human experts and deterministic tools in a dialogic model where every output is traceable to evidence.

Reusable across domains

The same semantic backbone underlies work in finance and AML, engineering, healthcare, and media rights.

Domain work is composed from shared building blocks rather than built from scratch. See where this is being applied across industries.

See industries