Knowledge Graph & Semantic AI Services
End-to-end semantic technology services for enterprises building AI that reasons. We don't just advise — we build, deploy, and govern.
Our services
Integrated practice areas covering the full semantic technology lifecycle — from strategy through to production.
Ontology Strategy & Advisory
Strategic advisory that aligns ontology investments to business outcomes and enterprise architecture.
- Ontology maturity assessment and roadmap
- Enterprise semantic architecture strategy
- Upper ontology alignment advisory (BFO, DOLCE, schema.org)
- Build vs. buy evaluation for ontology tooling
- Stakeholder alignment and executive briefings
Ontology Engineering & Design
Formal conceptual models that define your enterprise vocabulary with precision.
- Domain analysis and conceptual modelling workshops
- OWL/RDF/SHACL ontology development
- Upper ontology alignment (BFO, DOLCE, schema.org)
- Taxonomy and controlled vocabulary design (SKOS)
- Cross-domain ontology integration
- +1 more
Knowledge Graphs
Connected data infrastructure that turns siloed information into a queryable intelligence layer for AI and analytics.
- Knowledge graph readiness assessment
- Use-case identification and prioritisation
- Data landscape mapping and source inventory
- Architecture blueprint (RDF vs. property graph vs. hybrid)
- Business case and ROI modelling
- +1 more
Knowledge Graph Implementation
Production-grade graph infrastructure that integrates with your enterprise systems.
- Stardog, GraphDB, Neptune, and custom deployments
- Data pipeline design and ETL into RDF
- SPARQL endpoint and API design
- Property graph to RDF migration
- Performance tuning and query optimisation
Semantic AI Architecture
The structured knowledge layer that makes LLMs accurate and governable.
- RAG + Knowledge Graph hybrid architecture
- LLM grounding and context injection
- Agentic AI with semantic reasoning
- Explainability through formal semantics
- Prompt engineering with ontological context
Governance Frameworks
Sustainable models for ontology ownership, evolution, and quality assurance.
- Ontology governance operating models
- Change management and versioning
- Quality metrics and validation (SHACL constraints)
- Stewardship roles and responsibilities
- Integration with enterprise data governance
Platform & Vendor Selection
Independent, platform-agnostic advisory for choosing the right knowledge graph technology.
- Requirements gathering and use-case analysis
- RDF triplestore and graph database comparison
- Proof-of-concept evaluation and benchmarking
- Total cost of ownership modelling
- Vendor negotiation support
AI Layer & Systems Integration
The build-and-connect work that bridges your knowledge graph, enterprise systems, and LLM applications.
- Knowledge graph API design and development
- Semantic data pipeline engineering
- LLM integration and prompt orchestration
- Enterprise system connectors (SAP, Salesforce, etc.)
- Real-time and batch data synchronisation
Training & Enablement
Build internal capability in semantic technology and knowledge engineering.
- Ontology engineering fundamentals
- Knowledge graph implementation workshops
- SPARQL and semantic query training
- Tool-specific training (Protégé, TopBraid, Stardog)
- Executive briefings on semantic AI strategy
Enterprise leaders trust us
We build the semantic foundations their AI depends on.
“Most partnerships move slowly because you spend the first six months explaining how the technology works. With Semantic Partners, that phase did not exist. Their knowledge graph expertise meant they understood what Squirro does and why it matters before the first customer conversation. That changes the quality of the work they bring.”
Dorian Selz
CEO
Squirro
“As a Partner Sales Director of Graphwise, I have worked with Semantic Partners on multiple customer use cases. Semantic Partners are a Graphwise trusted consulting and implementation partner globally. They are agile, hands-on, knowledgeable, strategic, efficient, and effective - everything an AI & Knowledge Graph product vendor can expect from a professional services partner! Semantic Partners can be summarized as "Everything AI & Knowledge Graph"”
Ivan Antrov
Partner Sales Director
Graphwise
“This has been the best collaboration with an external services partner we have ever had.”
Jakob Robertsson
Manager, Continuous Integration & Information Management IT
Scania CV AB
“Semantic Partners combines deep knowledge graph expertise with a persistent drive to solve even the hardest problems!”
Boris Shalumov
Director Strategic Solutions
Siemens
“Semantic Partners accelerated our delivery and helped us create our Semantic Layer through their deep expertise in knowledge graphs. They were a highly effective partner throughout.”
Natasa Varytimou
Head of Data Architecture & UBS Ontologies, EDMS | Executive Director
UBS
“Semantic Partners is a trusted partner whose deep semantic and knowledge graph expertise consistently strengthens the data foundations we build for our clients.”
Abhishek Jalandhara
Director of Data Analytics/AI
Cognizant
Ready to build your semantic layer?
Start with a 30-minute strategic consultation. We'll assess your current data landscape and outline how semantic technology can accelerate your AI ambitions.