Our operator workbenches and interfaces are designed around robust semantic layers and back ends for complex requirements management and design-and-deploy workflows. Our portfolio includes a series of harness, mesh, platform, and app configurations, including Co:Graph, an ontology designer workbench, INCEPT, a model control mesh, and CPACE, our open standard model auditor.

We research deterministic and Kautz-type neurosymbolic (“NeSy”) reasoning models and semantic architectures, in keeping with our commitment to evidence-grade systems and rules for accountable and traceable artificial intelligence. Our growing portfolio of orchestrator, gatekeeper, and transformer models powers our patent pending control surfaces and developer SDKs.

We use open and proprietary data standards, and expertise in analytical tradecraft, evidence systems and provenance modeling, to optimize research tooling and performance. Our portfolio includes an evidence-grade semantic layer of sovereign meta-ontologies, domain-specific knowledge graphs, and matrixes for collection coordination and intelligence requirements management .

Our Control Surfaces and Evidence Control Mesh are available in licensable SDK format. This includes three discreet developer toolkits and applications : Our Epistemic Toolkit (ETK), Collection Toolkit (CKT), and our Assurance Toolkit (ATK). The three toolkits share a common authentication substrate and can be licensed under separate agreements.

Our research generates significant volumes of data and written output. These are the intellectual building blocks of our work: primary sources and field data - cleaned, collated and coded semantic objects - processed and bundled into machine-readable seedpacks, casefiles, and datasets. We format them as reusable, portable artefacts designed to configure client systems, facilitate complex discovery, and extend analytical capabilities.