How do I get agreement on an AI trust layer?
Developing the rules and policies for a trust layer that can govern your AI needs consensus among key stakeholders –…
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To build vertical AI that actually works, you need Domain Intelligence.
Constrain your models with structured, subject-matter expertise. Build intelligent systems that are right, explainable, and resilient.
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Ontologies deliver domain intelligence
Everyone’s racing to build vertical AI. But without constraints, models drift, hallucinate, or break. Ontologies provide the structure AI needs to stay grounded in what’s true.
AI is powerful but untrustworthy
LLMs generate convincing output — but they don’t understand your domain.
In law, medicine, finance, or manufacturing, even small errors can be catastrophic.
Ontologies define what’s true
Ontologies give AI a map:
- What concepts exist in your domain
- How they relate
- What rules must be followed. They’re not just documentation — they’re constraints your AI can use to reason
We deliver Ontology-as-a-Service (OaaS)
OaaS makes it easy to build, manage, and deploy ontologies:
- Model your domain with version control and collaboration
- Publish private or public knowledge sets
- Inject structured truth into AI systems via API
Core Capabilities
Schema Governance
Maintain clarity, consistency, and ownership across evolving domains.
Versioning & Contribution
Track, review, and approve changes with full audit trails.
Domain Intelligence
Infuse AI with structured knowledge for precision and explainability.
Public/Private Publishing
Control what’s shared and what stays internal — per class or ontology.
Rapid Consensus Delivery
Model, debate, and reach agreement fast — across teams or organisations.
Use Cases
Vertical AI Builders
Ground your models in domain truth, not guesswork.
AI Assistants
Inject knowledge that prevents hallucinations and builds trust.
Compliance Automation
Adapt to regulation with structured, explainable data.
Data Platforms
Bring governance and structure to your datasets.
Academic Research
Build shared vocabularies and trace conceptual evolution.
Latest Insights
What is AI trust layer infrastructure?
Trust layer infrastructure is a system to enforce machine-readable rules, policies and guardrails on AI so that it can be…
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How does LLM grounding work?
Grounding a large language model (LLM) means anchoring its outputs in reality, as defined by the organisation that is using…
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