Ontology for AI
Deploy AI You Can Trust.
Get Ontology.
The research is clear: ontology-grounded AI delivers better accuracy and reduced hallucinations. But how do you actually build and maintain one? We solve that.
- 55% improvement in fact recall with ontology grounding
- 77.6% better retrieval vs. traditional RAG
- 40% increase in response correctness
Start Your Ontology Journey - £25k to £50k Example Investment
You Know You Need an Ontology.
Now What?
Industry consensus is building: ontology-grounded AI is the path to reliable, auditable systems. Gartner recommends semantic techniques. AWS and Microsoft publish ontology-grounded architectures. LinkedIn, academic institutions, and enterprise pioneers report consistent 40-55% performance improvements.
The question isn't whether to use ontologies. It's how to build one your organisation can actually maintain.
The Real Challenge
Traditional Tools Lock You Out
Existing ontology platforms (Protégé, TopBraid, enterprise solutions) deliver outputs in technical formats—OWL files, RDF triples, SPARQL queries. Your domain experts can't read them. You're permanently dependent on ontology engineers who speak a language your business doesn't understand.
Consultancies Leave You Stranded
Hire consultants to build an ontology, receive a technical deliverable, watch them leave. Six months later when your domain changes, you can't update it. You're back to square one, paying again for expertise that never transfers to your team.
No Sustainable Path to Maintenance
Ontologies must evolve as your business evolves. Products change. Regulations update. Processes improve. If your team can't modify the ontology themselves, it becomes obsolete the moment it's delivered. You've invested in a static artefact, not a living knowledge asset.
Ontologies Built Collaboratively, Maintained Independently
We deliver AI-ready ontologies through a service built on OntoKai, our SaaS platform that makes ontology development accessible to your existing team - not just specialists.
How It's Different
Your Domain Experts Lead - Subject matter experts work directly in OntoKai's visual interface. No translation layer between business knowledge and suitable ontology. They see concepts as navigable maps, validate relationships in real-time, and maintain complete visibility into how their knowledge is structured.
Collaborative Validation, Built-In Governance - OntoKai provides workflows for review, approval, and versioning. Resolve disagreements with full audit trails. Your organisation's validation process becomes part of the ontology itself.
From Mess to Model - Bring in knowledge from any format: spreadsheets, databases, documents, legacy systems. OntoKai doesn't require pristine data. We build unified semantic models from the disconnected sources where your knowledge actually lives.
Sustainable Knowledge Evolution - Your team learns OntoKai during our engagement. When your domain changes, they modify the ontology directly - no consultants required. Export to standard formats (RDF/XML, OWL, JSON, TTL) for integration with your AI systems. Continuous improvement: knowledge evolves, humans validate.
Build Your Knowledge Graph
After our engagement, your organisation can:
- Maintain: Update concepts and relationships as your domain evolves
- Validate: Ensure ontology changes meet governance standards
- Extend: Add new knowledge areas without external dependencies
- Integrate: Connect ontologies to RAG frameworks and AI systems
- Audit: Trace AI decisions back to validated knowledge
This is ontology development that scales. No permanent consulting dependency. Just sustainable capability built on knowledge your organisation controls.
8-12 Week Engagements, Minimal System Access
We work with data samples, schema documentation, and metadata - no need for access to production systems. OntoKai is the collaborative environment where your team builds capability alongside us.
Process
- Discovery & Mapping (2-3 weeks) - Domain experts map concepts in OntoKai's visual interface and model imports. Real-time workshops capture entities, relationships, business rules. Deliverable: Conceptual model with stakeholder validation
- Schema Analysis (3-4 weeks) - You provide samples and schema. We build formal structures in OntoKai. Stakeholders refine continuously. Deliverable: Ontology with development audit trail
- Validation & Integration (2-3 weeks) - Competency testing, cross-departmental alignment, integration planning for your AI framework. Deliverable: Operational system + trained internal capability
- Knowledge Transfer (2 weeks) - Your team masters OntoKai: maintenance, governance, improvement cycles. Deliverable: Conceptual model with stakeholder validation
Who else has done this?
Three Case Studies
- LinkedIn Customer Service 28.6% faster resolution. 77.6% retrieval improvement. Knowledge graphs preserve relationships that text chunks cannot.
- OG-RAG Research 55% factual recall increase. 40% correctness improvement. Cross-domain validation: agriculture and news.
- Pizza Ontology Study Gold standard alignment jumped 45.7% to 60.3%. Proves ontologies as "factual anchors" preventing LLM drift.
The Only Service That Builds Your Capability
Five Differentiators
- The OntoKai Platform - SaaS tool for non-specialists. Visual interface, collaborative workflows, supports governance. Your team uses it during and after our engagement.
- Knowledge Transfer is Core to the Service - We measure success by the level of your independence. Training is integrated, not an add-on. You own the platform licences, ontology artefacts - open standards exports - and capability.
- Minimal Access Required - Data samples and schema are the minimum requirement. No production access. OntoKai deploys in your secure tenancy if required.
- Technology Agnostic Integration - Works with your AI stack (OpenAI, Anthropic, open source). Compatible with many RAG frameworks. Standard exports (RDF, JSON).
- Rapid Deployment 8-12 weeks - OntoKai enables stakeholder feedback. Kaiasm can support experiment design for measuring performance gains.
The Market Has Moved
Four Drivers
- Industry Consensus - Analysts including Gartner increasingly recommend semantic techniques for AI implementations. Microsoft embraces ontologies as a foundation for AI going forward.
- Regulatory Requirements - EU AI Act demands explainability and auditability. Ontologies provide decision provenance that unstructured systems cannot deliver.
- Proven Performance Gap - Research consistently shows improvements. The question isn't whether ontologies work - it's how to build them sustainably.
- Accessibility Breakthrough - Traditional tools required specialists. OntoKai democratises ontology work, making it sustainable at enterprise scale for the first time.
Build Ontology Capability,
Not Consulting Dependency
You understand ontologies improve AI performance. The challenge is building one your organisation can maintain. We deliver AI-ready ontologies while training your team to own them through OntoKai - no permanent dependency, just sustainable capability.
Start your ontology journey - £25k to £50k example investment.
Timeline: 8-12 weeks | Investment: Contact for proposal | Ideal For: Organisations planning or optimising AI deployments who recognise ontologies as best practice but lack implementation path | OntoKai Licensing: Platform access included; ongoing licences from £332/month per editor.
You receive a validated ontology ready to integrate with your AI systems. Your team gains the platform, training, and capability to maintain and evolve it independently. This is how ontology-grounded AI becomes sustainable.