Ontology Engineering & Knowledge Graph Consultancy

We Build the Knowledge Layer Behind Enterprise AI

From your raw company data, we design custom ontologies and production knowledge graphs — the governed, explainable foundation that makes GraphRAG and AI agents actually trustworthy. Consultancy, engineering, and a library of ready-to-license ontologies.

15+
YEARS SEMANTIC EXPERTISE
8 wks
TO FIRST GRAPH
100%
STANDARDS-BASED · NO LOCK-IN
enterprise-knowledge-graphLIVE · GOVERNED
14,208 triples 2,640 entities · 37 relations SPARQL endpoint · online
Class Entity Instance Event
Trusted approach for teams in
Your Data Custom Ontology Knowledge Graph GraphRAG AI Agents Governed Intelligence
What We Do

End-to-End Ontology & Knowledge Graph Services

We're a senior-led, boutique consultancy. Every engagement is run by architects with 15+ years in semantic technology — from strategy through to production systems your team can run independently.

🧩

Custom Ontology Engineering

We study your company data and business domain, then design formal ontologies tuned to how your organization actually works — the single source of truth from which apps, APIs and AI reason.

Deliverables
  • Domain ontology in OWL / RDF
  • SHACL validation shapes
  • Taxonomies & controlled vocabularies (SKOS)
  • Governance & versioning model
🕸️

Knowledge Graph Development

We connect fragmented systems — databases, documents, ERP, CRM, legacy — into a unified, queryable knowledge graph, with resolved entities and relationships that make cross-system questions answerable in days.

Deliverables
  • Graph on Neptune / Neo4j / GraphDB
  • Data pipelines & entity resolution
  • SPARQL / Cypher query interfaces
  • Visualization & semantic search
🤖

GraphRAG & AI Agent Systems

We ground your LLMs and agents in the knowledge graph, so every answer is traceable to a fact and every agent action is validated against your ontology — explainable AI, not a black box.

Deliverables
  • GraphRAG retrieval pipeline
  • Agent orchestration (LangGraph / Bedrock)
  • Zero-hallucination guardrails
  • Evaluation & observability harness
🧭

Strategy & Advisory

Not sure where to start? We assess your data landscape, semantic maturity and goals, then deliver a costed, best-practice roadmap and a vendor-fit analysis — technology-agnostic and honest.

Deliverables
  • Semantic maturity assessment
  • Target architecture & roadmap
  • Vendor / platform fit analysis
  • Business case & ROI model
🏛️

Data Governance & Semantic Layer

We turn your ontology into a governed semantic layer over existing data — a shared, auditable definition of every business concept that keeps BI, AI and operations consistent and compliant.

Deliverables
  • Governed semantic / metadata layer
  • Lineage, provenance & audit trails
  • Stewardship & approval workflows
  • FAIR / data-centric alignment
🎓

Enablement & Training

We don't create dependency. Through workshops and an apprenticeship approach, we transfer the methodology so your architects and data teams can extend and own the knowledge graph.

Deliverables
  • Hands-on team workshops
  • Full methodology documentation
  • Ontology & SPARQL training
  • Ongoing coaching & support
Custom Ontology From Your Data

We Turn Your Company Data Into a Formal, Reasoning-Ready Ontology

Whether you have documents, spreadsheets, databases or none of it modelled, we combine expert knowledge engineering with modern LLM-assisted extraction to build an ontology that mirrors your domain — for any category: finance, cyber, healthcare, supply chain, real estate, manufacturing and more.

1
Ingest your dataDocuments, schemas, APIs and subject-matter interviews.
2
Extract conceptsClasses, properties and relationships, LLM-accelerated then expert-validated.
3
Structure & reasonHierarchies, axioms and SHACL constraints for logical consistency.
4
Serialize & governStandards-based RDF/OWL, versioned and ready for your knowledge graph.
◕ From raw data → ontology
Company documents, DBs, APIs
│  concept extraction (LLM + expert)
@prefix acme: <.../acme#> .

acme:Customer a owl:Class .
acme:Policy   a owl:Class .
acme:holds    a owl:ObjectProperty ;
    rdfs:domain acme:Customer ;
    rdfs:range  acme:Policy .
# + SHACL shapes, taxonomies, governance
▼  load into knowledge graph
Queryable · explainable · AI-ready
How We Work

A Proven, De-Risked Delivery Method

Think big, start small. We prove value on a focused use case first, then scale — so you see results before committing to a large program.

1ASSESS

Discover & Assess

We map your architecture, data landscape and goals, and deliver findings with clear, costed recommendations.

Typical: 1–2 weeks
2DESIGN

Architect & Model

We design the ontology, integration patterns, governance and deployment — documented and approved before we build.

Typical: 2–4 weeks
3PROVE

Prototype & Validate

We build a working proof of concept against your real data — a First Implementable Version that demonstrates value.

Typical: 4–8 weeks
4SCALE

Scale & Enable

We move from POC to production, deliver governed software, and train your team to iterate independently.

Ongoing partnership
Ways to Engage

Start Small, Prove Value Fast

Fixed-scope

Knowledge Graph Accelerator

8 weeks · fixed fee

A best-practices roadmap plus a First Implementable Version knowledge-graph prototype on your data — everything you need to align stakeholders and move forward with confidence.

Discovery

Ontology Strategy Workshop

2 days · fixed fee

An intensive working session where our architects and your subject-matter experts scope the domain, sketch the starter ontology and define clear next steps.

Partnership

Embedded Engineering

Monthly retainer

Our knowledge engineers work alongside your team through design, build and scale — senior expertise on demand, with full knowledge transfer built in.

Vocabulary Standards

Built on the Open Semantic Web Stack

Every ontology we ship conforms to W3C foundations and the recognised standards of your industry — so your knowledge graph is interoperable, portable, and future-proof. No proprietary lock-in.

RDF
Resource Description Framework

The foundational graph data model. Everything is a triple: subject → predicate → object. Universal, mergeable, machine-readable.

W3C Recommendation
OWL 2
Web Ontology Language

Rich formal semantics for classes, properties and axioms — enabling automated reasoning, inference and consistency checking.

W3C Recommendation
SKOS
Simple Knowledge Organization System

The standard for thesauri, taxonomies and controlled vocabularies. Broader / narrower / related concept hierarchies.

W3C Recommendation
SHACL
Shapes Constraint Language

Validates graph data against declarative shapes — the data-quality guardrail that keeps your knowledge graph trustworthy.

W3C Recommendation
SPARQL
SPARQL Protocol & RDF Query Language

The query language for graphs. Pattern-match across relationships, federate across endpoints, power GraphRAG retrieval.

W3C Recommendation
JSON-LD
JSON for Linking Data

Linked data in developer-friendly JSON. The bridge between REST APIs, web apps and the semantic graph world.

W3C Recommendation

Aligned to Your Industry Standards

Our domain ontologies don't reinvent the wheel — they extend the reference models your industry already trusts.

FIBO
Financial Industry Business Ontology

The EDM Council's semantic standard for financial instruments, legal entities and business concepts. Our finance ontologies are FIBO-aligned.

Financial Services
ACORD
Insurance Data Standard

The global insurance industry's standard for policies, coverages and claims. Our insurance ontology follows the ACORD model end-to-end.

Insurance
GS1
GTIN · GLN · SSCC · EPCIS

Global supply-chain identification keys and the EPCIS visibility event model. Our supply-chain ontology also aligns to the SCOR process model.

Supply Chain
HL7 FHIR
Fast Healthcare Interoperability Resources

The healthcare interoperability standard, with SNOMED CT and LOINC terminologies, underpinning our clinical and patient ontologies.

Healthcare
BFO / CCO
Basic Formal & Common Core Ontologies

The ISO/IEC 21838 top-level ontology and mid-level Common Core, giving every domain model a rigorous, upper-ontology foundation.

Foundation (ISO/IEC 21838)
STIX · UCO
Structured Threat Information · Unified Cyber Ontology

MITRE ATT&CK, STIX 2.1 and UCO/CASE for explainable cyber-defense knowledge graphs and digital-forensic investigation.

Cybersecurity
Ontology Library · Interactive Visualizer

Browse, Visualize & License Ontologies

Select an ontology to explore its class hierarchy as a live knowledge graph, powered by Cytoscape.js. Free ontologies download instantly. Premium ontologies unlock with a subscription or one-time license.

Subscription Plans

Pricing That Scales From Pilot to Production

Start free. Upgrade when your knowledge graph goes to production. Every paid plan includes commercial licensing, updates, and SPARQL-ready downloads.

Explorer
For learning and evaluation.
$0
FREE FOREVER
  • All free & demo ontologies
  • Interactive graph visualizer
  • Instant downloads (TTL / RDF)
  • Premium cyber ontologies
  • Commercial license
Popular
Pro
For teams building in production.
$149/mo
BILLED MONTHLY
  • Everything in Explorer
  • All Pro tier ontologies
  • Cybersecurity Core + UCO Core
  • Commercial single-org license
  • Quarterly ontology updates
Enterprise
For regulated, mission-critical use.
$599/mo
BILLED MONTHLY
  • Everything in Pro
  • All Enterprise ontologies
  • Full UCO Observable + Vocabulary
  • SSO / SAML · RBAC
  • Priority support & custom modeling
Custom
Bespoke ontology engineering.
Let's talk
ANNUAL CONTRACT
  • Custom domain ontologies
  • GraphRAG platform build
  • On-prem / VPC deployment
  • Dedicated knowledge engineer
  • SLA & training

Prefer to own a single ontology outright? Every premium ontology is also available as a one-time license — select it in the library above and click License.

Capabilities

Infrastructure for Knowledge-Grounded AI

// 01

Ontology Engineering

Formal models of your domain that machines can reason over — the conceptual foundation for intelligent systems.

OWLRDFSHACLSPARQLSKOS
// 02

Knowledge Graph Development

Enterprise knowledge connected into intelligent networks with resolved entities and traceable relationships.

NeptuneNeo4jGraphDBEntity Resolution
// 03

GraphRAG & Context AI

LLMs made enterprise-intelligent by grounding retrieval in governed, structured knowledge.

RAGAI AgentsReasoningBedrock
// 04

Digital Intelligence Platforms

Living, queryable models of your enterprise powering decision intelligence and autonomous workflows.

Digital TwinsDecision Intelligence
Industries

Domain Intelligence, Purpose-Built

🛡️

Cybersecurity

Threat graphs aligned to STIX, MITRE ATT&CK and UCO for explainable defense.

🏦

Financial Services

Risk, capital markets and regulatory intelligence on FIBO-aligned ontologies.

🧬

Healthcare

Clinical AI, patient intelligence and medical knowledge graphs.

🚚

Supply Chain

Digital supply networks and logistics optimization at graph scale.

🏭

Manufacturing

Industrial digital twins connecting assets, process and telemetry.

💻

Technology

Enterprise architecture and cloud knowledge graphs.

Book a Free Consultation

Tell Us About Your Data Challenge

A 30-minute call with a knowledge engineer.

No sales script. We'll listen to your use case, tell you honestly whether an ontology or knowledge graph is the right fit, and outline what a first engagement could look like — then help you pick a time that works.

🧭
Senior-led from day oneYou talk to architects, not account managers.
Value in weeks, not quartersOur accelerator delivers a working prototype in 8 weeks.
🔓
No vendor lock-inEverything on open W3C standards you fully own.
🗓️

Schedule your consultation

Share your details and pick a time on our booking page. Confirmation lands in your inbox within one business day.

🔒 No spam, ever. 30 minutes, no obligation.
Building the Knowledge Layer Behind Enterprise AI

From Data Chaos to
Enterprise Intelligence.

Partner with the team building the semantic intelligence layer for regulated, mission-critical enterprises.