Axzura

We kept meeting the same organisation. Decades of operational documents — procedures, incident reports, compliance manuals — and answering a single question meant somebody searching a shared drive for twenty minutes. Most had already tried an off-the-shelf chatbot and quietly abandoned it: it was confidently wrong often enough that nobody trusted it.

The bar was never "sounds plausible". It was "I can show my regulator where this came from" — and nothing we could point customers at cleared it. So we built Axzura ourselves.

Axzura is a retrieval platform where citation is a hard requirement rather than a feature. Documents are chunked with structure preserved, embedded into pgvector, and every generated answer is constrained to passages the system actually retrieved. If the corpus does not support an answer, the product says so instead of improvising.

Tenancy is enforced at the database layer, so a query can only ever reach one customer's corpus. Model calls run through a provider-agnostic gateway, which means swapping or upgrading models is a config change rather than a migration.

Axzura launched with eleven tenants and holds sub-second answer latency at the 95th percentile. The pilot customer reported a 40% drop in internal support tickets within two months, and the citation trail cleared their compliance review on the first pass.

Running it ourselves is the point: the retrieval and evaluation work that keeps Axzura honest is the same work we bring to client platforms.