Service 02
Large language models and natural language processing
Build practical systems for extracting, finding and using information held across documents, reports and other text-based resources.
When this service is useful
Your organisation may hold valuable knowledge across reports, notes, emails or document collections, but generic AI tools cannot reliably retrieve, structure or evaluate specialist information.
Suitable for: SMEs and research-led organisations with document-heavy workflows, specialist knowledge bases or a need to assess LLM opportunities without committing to a large platform.
A proportionate engagement
- Document search and knowledge retrieval
- Natural language processing and information extraction
- Named entity recognition and document classification
- Semantic search and retrieval-augmented generation
- LLM evaluation, prompting and workflow design
- Local and open-source LLM feasibility assessment
Useful, documented deliverables
Search, extraction or RAG prototype
Structured document-processing workflow
Evaluation dataset and test framework
Implementation and deployment guidance
Outputs depend on scope, available data and technical constraints. No result or performance level is guaranteed.
Start a conversation
Discuss llms, nlp & rag
Share the question, available data and the outcome you need. Initial enquiries should not contain confidential, personal or sensitive information.