Generative AI & LLM Applications Grounded, cited, evaluated
Copilots and assistants grounded in your own content.
Generative AI is only as good as what it is grounded in. We build assistants and copilots that answer from your own systems and documents — with citations back to source, guardrails on what they will and will not do, and an evaluation harness so you can tell whether it is actually working before it reaches a customer.
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Tell us the decision you are trying to improve and we will tell you whether this is the right place to start.
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Internal copilots
Assistants that answer from your policies, records and systems, so staff stop hunting through shared drives for the current version.
Customer-facing assistants
Service and support assistants that handle the routine questions in the customer's own language, and escalate cleanly when they should.
Retrieval over your content
RAG pipelines that index your documents and data, so answers are grounded in what you actually hold rather than what a model remembers.
Document drafting & summarisation
Generating first drafts, summarising long records, and extracting the fields a downstream system needs.
Natural-language search
Letting people ask a question of a database or document set without knowing the schema or the filing structure.
Model-agnostic architecture
Built so the underlying model can be swapped as the market moves, rather than welding your product to one vendor.
Built to be trusted
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