Generative AI
Assistants, drafting and content tools built on large and small language models, grounded in your own knowledge.
Generative AI is most useful when it is anchored to your material rather than the open internet. We fine-tune and ground models on your documents and data so answers are specific, traceable and safe to act on.
What we build
- Assistants that answer from your documentation, policies and product data
- Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs that keep answers current and cite their source
- Custom fine-tuning of large and small language models for specialised tasks
- Drafting and summarising tools for support, sales and operations teams
- Image generation and visual content enhancement where it fits the product
How we deliver it
- Model choice driven by the task, cost and where the data is allowed to live
- Evaluation sets and human review built into the pipeline before anything ships
- Guardrails: source citations, refusal behaviour, and logging of every prompt and response
- Deployment in your cloud or ours, with sensitive data kept inside your boundary
Where it fits
- Teams spending hours searching internal knowledge
- Support queues full of questions your documentation already answers
- Content and reporting work that follows a repeatable shape
More in Core AI
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End-to-end AI engineering: from finding the use case worth funding to running the model in production.
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The pipelines, monitoring and governance that keep models reliable after launch.
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Systems that read images and video: inspection, recognition, counting and monitoring.
Learn moreNatural Language Processing
Turning documents, tickets and conversations into structured, searchable data.
Learn morePut generative ai to work
Book a short call with our engineers to talk through your data, your constraints and what a first version could look like.
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