01
Knowledge is scattered
Critical knowledge is distributed across documents, databases and people, so no single system holds a complete picture of the domain.
Knowledge and AI consulting services
AI systems grounded in your business knowledge.
We provide consulting and engineering services for knowledge platforms, RAG and GraphRAG, AI agents and custom intelligent applications. Our specialists connect data, domain knowledge and software so organisations can search, reason and act with greater confidence.
Sources
Documents
Databases
Applications
Domain expertise
Knowledge foundation
Ontologies, entities, relationships, business rules and retrieval structure.
Capabilities
Search
Reasoning
Agent actions
Specialist consulting and engineering for organisations with complex data, specialised knowledge and high-value workflows.
The problem
Reliable AI needs more than a language model.
Most difficulties we see are not model problems. They are knowledge, retrieval and accountability problems.
02
Search misses context
Conventional search misses relationships, internal terminology and business rules, returning documents rather than usable answers.
03
Unverifiable output is risky
AI systems become risky when answers and actions cannot be traced, evaluated or controlled by the organisation that depends on them.
Services
Services spanning strategy, knowledge and implementation.
AI Strategy & Solution Architecture
Identify practical opportunities, assess readiness and define an architecture and roadmap you can act on.
DetailsOntology & Semantic Modelling
Define a shared, machine-readable model of your domain using taxonomies, ontologies and controlled vocabularies.
DetailsKnowledge Graph Engineering
Design and implement client-owned knowledge graphs that connect data, content and business context.
DetailsEnterprise RAG & Semantic Search
Ground language models in approved organisational information, with citations and measurable answer quality.
DetailsGraphRAG Solutions
Combine document retrieval with entities and relationships where connected context genuinely adds value.
DetailsAgentic AI Systems
Design agents that perform bounded tasks using approved data, tools and business rules, with human oversight.
DetailsTwelve service areas are described in full on the services page.
Expertise
Where our technical depth sits.
We work at the intersection of knowledge representation, retrieval and software engineering. That combination is deliberate: it is where most knowledge-intensive AI work succeeds or fails.
More about how we operateKnowledge engineering
- Ontologies and conceptual models
- Taxonomies, thesauri and vocabularies
- RDF, OWL, SKOS and SHACL
- Property graphs and graph query design
- Entity extraction and entity resolution
AI systems
- Retrieval-augmented generation
- Graph-enhanced retrieval (GraphRAG)
- Agent and tool-use architecture
- Evaluation and failure-mode analysis
- Guardrails, permissions and audit trails
Software engineering
- Custom web and internal applications
- Backend services and APIs
- Integration with enterprise systems
- Decision-support and assistant interfaces
Data & operations
- Ingestion, ETL and ELT pipelines
- Structured and unstructured data integration
- Cloud architecture and containerised deployment
- Monitoring, reliability and cost management
Typical applications
The kinds of problems this work suits.
Illustrative use cases, described so you can recognise whether your own problem is a similar shape.
Enterprise knowledge assistant
Answer internal questions from approved sources, with citations back to the original material.
Compliance and policy intelligence
Locate the obligations, definitions and exceptions that apply to a specific situation.
Product knowledge and catalogue enrichment
Standardise attributes and relationships across product and content records.
Technical-document search
Retrieve precise passages from specifications, manuals and engineering documentation.
Research and evidence synthesis
Assemble and compare findings across large bodies of literature or internal reports.
Customer-service knowledge assistant
Support agents with consistent, source-linked answers drawn from current material.
Operational workflow agent
Complete bounded, rule-governed tasks with human approval at consequential steps.
Connected-data discovery
Explore relationships across systems that separate databases cannot reveal alone.
These examples illustrate the types of engagements ABC Company can support and are not
presented as existing commercial products.
How we work
A sequence that keeps the problem ahead of the technology.
Discover
Define the business problem, users, sources and expected outcome.
Model
Structure the domain knowledge, relationships, rules and retrieval requirements.
Build
Implement the data pipelines, knowledge layer, AI components and user-facing software.
Validate & Evolve
Evaluate quality, deploy responsibly and improve the system using real feedback.
Engagement formats
Ways of working together.
These are engagement formats rather than fixed packages. Scope is agreed for each client.
Advisory engagement
Strategy, assessment, architecture and roadmap work for teams deciding where and how to start.
Discovery and prototype
Validate one use case with a focused technical prototype before committing to a full build.
Implementation project
Design and deliver a complete client-owned solution, with documentation and handover.
Ongoing engineering support
Maintain, evaluate and extend deployed systems as data, usage and requirements change.
Engineering principles
How we keep systems accountable.
Practices we apply as standard. They describe our engineering approach, not a formal compliance or certification claim.
Evidence and source traceability
Answers and actions can be traced back to the material they came from.
Security and access-aware design
Retrieval and agent behaviour respect existing permissions and data boundaries.
Human review for consequential actions
Decisions with real impact keep a person in the approval path.
AI and retrieval evaluation
Quality is measured against defined tasks rather than assumed from demonstrations.
Knowledge governance and change management
Models, vocabularies and content have owners, versions and review paths.
Vendor-neutral architecture where appropriate
Components are chosen so they can be replaced as needs and tooling change.
Leadership and specialist expertise
A focused team with complementary expertise.
ABC Company brings together AI engineering, knowledge architecture, software development and delivery expertise through a small distributed team and specialist consulting relationships.
Hasan Raza
AI Engineering Lead
Hasan leads the technical design and engineering of AI solutions at ABC Company. His work covers machine learning, RAG and GraphRAG architectures, agentic workflows and the development of production-ready AI applications.
Master’s degree in Artificial Intelligence.
Anees Ul Mehdi, PhD
Principal Consultant — Knowledge & Agentic AI
External consultant
Anees is an external principal consultant specialising in knowledge graphs, ontologies, semantic architecture and agentic AI. He holds a PhD in Artificial Intelligence and brings extensive experience designing enterprise knowledge and trustworthy AI systems.
Engaged as an external consultant. He is not an employee, founder, owner, director or officer of ABC Company.
Mehdi
Head of Delivery & Operations
Mehdi coordinates project delivery, internal operations and communication across ABC Company’s distributed team. He helps ensure that engagements remain organised, transparent and aligned with agreed priorities.
Engineering team
Placeholder profilesThe four profiles below are placeholders. Names, roles and images will be replaced once individual details are confirmed.
Person 1
Senior Full-Stack Engineer
Builds the client-facing applications and services that sit on top of the knowledge layer. Placeholder biography.
Person 2
AI/ML Engineer
Works on retrieval components, model integration and evaluation. Placeholder biography.
Person 3
Data & Knowledge Engineer
Prepares data sources and implements graph and vocabulary structures. Placeholder biography.
Person 4
Software Engineer
Supports application development, integrations and testing. Placeholder biography.
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