Give your information the intelligence to be useful.
Most organisations already know the answer — it is just spread across documents, systems and people. We engineer knowledge systems that connect it, so people and AI can find, understand and use it.
Why it matters
Find things by meaning, not by keyword
Ask questions in plain language and get the relevant passages, records and documents — even when they use different words.
Answers you can verify
Every generated answer cites its sources, so people can check the original before they act on it.
One view across disconnected systems
Documents, tickets, CRM records and databases become one connected body of knowledge, without moving everything into a new tool.
90 days from written notice, with the renewal terms unchanged.
Service agreement · clause 12What we build
Ingestion and processing pipelines
Reliable pipelines that collect, clean, split and enrich documents and records from the systems where they live.
Embeddings and vector search
Embeddings pipelines and vector databases chosen and tuned for your content, languages and scale.
Hybrid search
Semantic and keyword search combined with re-ranking, so exact terms such as part numbers are found as well as concepts.
Retrieval-augmented generation
Assistants that answer from your knowledge rather than from memory, with citations and clear handling of uncertainty.
Knowledge graphs
Entities and relationships — customers, contracts, assets, people — modelled explicitly so connected questions can be answered.
Context for AI agents
Retrieval services that give agents the right context for each task, with the same permissions as the person they act for.
How we build it
Audit the knowledge
We identify where information lives, its quality, how it is structured and who may access it.
Design retrieval
We decide how content is processed and indexed, and which search strategies suit the questions people ask.
Measure quality
We build evaluation sets from real questions and measure retrieval and answer quality before launch.
Keep it current
Pipelines keep the index in sync as content changes, and quality is monitored over time.
Safeguards
Permission-aware retrieval
Results respect the access rights of the person or agent asking. Nobody sees content they couldn't open at the source.
Grounded answers
Generated answers are constrained to retrieved sources and say so when the knowledge isn't there.
Data handling by design
We agree where data is stored and processed, and design pipelines to respect retention and residency requirements.
Measured, not assumed
Retrieval quality is evaluated against agreed test questions, not judged by a few impressive demonstrations.
Technical depth
Structured and unstructured sources need different treatment: some questions are best answered by search, others by querying a database directly. We design for both.
Common questions
Do we have to move our documents into a new system?
No. We index content where it lives and keep it in sync. Your existing systems remain the source of truth.
What about confidential information?
Retrieval respects existing permissions, and we agree data handling, storage location and retention before anything is processed.
How do we know the answers are right?
Answers cite their sources, and we measure retrieval and answer quality against a set of real questions you help us define.
Have a problem this could solve?
Tell us about it in your own words. We'll help work out whether this is the right approach — or whether something simpler would do.
