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Services

Consulting and engineering across the full knowledge and AI lifecycle.

Twelve service areas, from early strategy through modelling, implementation, evaluation and ongoing support. Engagements are scoped individually and everything we build is owned by the client.

Service 01

AI Strategy & Readiness

Help clients identify practical AI opportunities and prepare an implementation roadmap grounded in the data and knowledge actually available.

Possible activities

  • AI opportunity assessment
  • Use-case prioritisation
  • Data and knowledge readiness assessment
  • Solution and enterprise architecture
  • Technology and vendor evaluation
  • Prototype planning

Service 02

Ontology & Semantic Modelling

Define a shared, machine-readable understanding of the client’s domain so that terminology, relationships and rules are explicit rather than implied.

Possible activities

  • Domain and conceptual modelling
  • Ontology design
  • Taxonomy and controlled vocabulary development
  • RDF, OWL, SKOS and SHACL implementation
  • Semantic mapping
  • Ontology governance and evolution

Service 03

Knowledge Graph Engineering

Design and implement client-owned knowledge graphs that connect data, content and business context in a form applications and AI components can query.

Possible activities

  • Knowledge graph architecture
  • RDF and property-graph implementation
  • Entity extraction and entity resolution
  • Graph data pipelines
  • Graph APIs and query services
  • Graph validation, performance and maintenance

Service 04

Knowledge Platforms

Build custom client platforms for managing, exploring and applying organisational knowledge.

Possible activities

  • Knowledge portals
  • Semantic search interfaces
  • Graph exploration and visualisation
  • Knowledge authoring and curation workflows
  • Integration with existing enterprise systems
  • Access control and knowledge lifecycle management
These are custom platforms designed and built for individual clients, who own the result. ABC Company does not sell or license a knowledge platform product.

Service 05

Enterprise RAG & Semantic Search

Create retrieval systems that ground language models in approved organisational information, with citations that let readers check the source.

Possible activities

  • Document ingestion and preparation
  • Metadata and chunking strategy
  • Vector, keyword and hybrid retrieval
  • Reranking and context construction
  • Citations and source traceability
  • Retrieval and answer-quality evaluation

Service 06

GraphRAG Solutions

Combine document retrieval with entities, relationships and graph traversal where connected context adds value.

Possible activities

  • GraphRAG readiness assessment
  • Knowledge extraction from documents
  • Graph-enhanced retrieval design
  • Hybrid vector and graph search
  • Relationship-aware context assembly
  • GraphRAG evaluation and optimisation
GraphRAG is not automatically better than ordinary RAG. We treat it as an approach to use when a problem genuinely benefits from relationship-aware retrieval, and we test that assumption before committing to it.

Service 07

Agentic AI Systems

Design agents that perform bounded tasks using approved data, tools and business rules.

Possible activities

  • Agent and workflow architecture
  • Tool, API and MCP integration
  • Single-agent and multi-agent orchestration
  • Memory and context design
  • Human approval and escalation workflows
  • Permissions, guardrails and audit trails
We do not design agents on the assumption that they will operate autonomously or without error. Scope, permissions and escalation paths are defined explicitly.

Service 08

AI-Enabled Web & Software Development

Build user-facing software that turns knowledge and AI capabilities into practical workflows people will actually use.

Possible activities

  • Custom web applications
  • Internal business platforms
  • AI assistants and decision-support interfaces
  • Knowledge-management applications
  • Backend services and APIs
  • Integration with existing applications

Service 09

Data & Systems Integration

Connect the information sources that knowledge and AI solutions depend on, in a way that remains maintainable after delivery.

Possible activities

  • Data-source discovery and mapping
  • ETL and ELT pipelines
  • Structured and unstructured data integration
  • API and enterprise-system integration
  • Data quality and lineage
  • Batch and event-driven processing

Service 10

AI Evaluation, Governance & Observability

Help clients measure system quality and establish the controls needed for responsible operation.

Possible activities

  • RAG and agent evaluation frameworks
  • Accuracy and relevance testing
  • Failure-mode analysis
  • Prompt, model and retrieval monitoring
  • Knowledge provenance and change control
  • Human-in-the-loop governance
This is technical evaluation and governance engineering. We do not provide legal, regulatory or cybersecurity certification services.

Service 11

Cloud Deployment & AI Operations

Support deployment and ongoing operation of client solutions once they leave the prototype stage.

Possible activities

  • Cloud solution architecture
  • Containerised deployment
  • CI/CD setup
  • Model and application monitoring
  • Reliability and cost optimisation
  • Maintenance and technical support
Support arrangements are agreed per engagement. We do not currently advertise round-the-clock cover or formal service-level agreements.

Service 12

Training & Team Enablement

Help client teams understand, extend and maintain the solution after handover.

Possible activities

  • Knowledge graph and ontology workshops
  • RAG and GraphRAG training
  • Agentic AI architecture briefings
  • Developer handover and documentation
  • Governance and stewardship training
  • Executive and stakeholder sessions

Not sure which of these you need?

Describe the workflow, knowledge or data problem you are working on. We can help assess the opportunity and identify an appropriate technical approach.

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