AdTech
Advertising ontology for targeting, attribution, consent, and brand safety.
Explore how open ontology works across sectors, governance, and operational domains
Advertising ontology for targeting, attribution, consent, and brand safety.
Agriculture ontology for precision farming, yield models, and food-chain assurance.
How structured ontologies help organisations integrate AI responsibly — by giving teams and systems a shared language.
IQ:NS models seven risk dimensions — fairness, safety, security, privacy, transparency, accountability, and reliability.
Core AI governance ontology for frameworks, controls, risks, and obligations.
Audit ontology for evidence trails, control testing, and assurance workflows.
Aviation ontology for flight systems, certification, and operational oversight.
Banking ontology for lending, fraud, supervision, and customer decision controls.
Biotech ontology for lab AI, discovery pipelines, and regulated research controls.
Defence governance model for mission risk, ethics, and dual-use AI oversight.
Education ontology for admissions, grading, learner rights, and oversight.
Employment ontology for hiring, monitoring, fairness, and worker safeguards.
Critical infrastructure model for resilience, safety, and operational AI governance.
Enterprise ontology for portfolio controls, inventory, reporting, and assurance.
Discover the core article-focused capabilities and ontology integration for content discovery and knowledge workflows.
Financial AI model for model risk, resilience, explainability, and supervision.
Public sector ontology for procurement, accountability, oversight, and service AI.
Health ontology for clinical safety, patient impact, and regulated AI workflows.
IQ:NS structures knowledge across AI, finance, health, saas, enterprise, and more.
Insurance ontology for underwriting, claims, pricing fairness, and governance.
Service ontology for operations, incidents, changes, and knowledge workflows.
Legal AI model for justice, ethics, advice systems, and evidence handling.
Media ontology for synthetic content, disclosure, moderation, and platform trust.
Extend IQ:NS with private knowledge bases, secure MCP servers, and enterprise-grade semantic integration.
Public safety model for prohibited uses, biometrics, and rights safeguards.
SaaS ontology for tenant controls, hosted AI products, and platform governance.
The AI and organisational standards IQ:NS models — what they cover, who they apply to, and how they connect.
Startup governance model for lean controls, investor readiness, and scale-up.
Transport ontology for autonomy, safety cases, and mobility governance.
UX ontology for oversight, consent, explanation, and interface trust.