Knowledge Base as a Service

Unlock the answersalready inside your documents

Your organisation already knows the answer. It is buried across contracts, runbooks, tickets and tables nobody can search at once. We build the governed layer that makes it retrievable.

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Indexed in weeks

First corpus live and answering in a single engagement, not a year-long programme.

Every source, one layer

Documents, wikis, tickets and warehouse tables behind a single retrieval API.

Answers with citations

Every response carries the passage, the document and the version it came from.

The Problem

End the document scavenger hunt

Knowledge work stalls on retrieval. People know the answer exists — they just cannot find which of four systems it is sitting in, or which version is current.

Centralize what is scattered

Contracts in SharePoint, runbooks in Confluence, specs in Drive, history in the warehouse. One index across all of it, without moving your systems of record.

Automate the indexing

Parsing, chunking, embedding and refresh run as pipelines on your existing orchestrator, so the index stays current as documents change.

Return answers, not links

A ranked list of ten documents is not an answer. Retrieval is tuned to produce the passage that resolves the question, with the source attached.

Respect who can see what

Permissions are enforced at query time against your existing groups, so retrieval can never surface a document the person asking is not cleared to read.

How We Build It

From chaos to clarity

The same delivery method as our platform work: assess, build in sprints, measure, then operate.

01

Connect your sources

We inventory where knowledge actually lives, then wire up connectors for document stores, wikis, ticketing systems and your warehouse.

02

Parse and chunk

Layout-aware parsing for PDFs, tables, scans and slides, chunked on semantic boundaries rather than arbitrary character counts.

03

Index and evaluate

Hybrid keyword and vector indexes, tuned against a graded question set built from what your team actually asks.

04

Serve and monitor

A retrieval API your applications and agents call, with answer quality, latency and coverage monitored in production.

Capabilities

Built for production, not for the demo

Most knowledge base pilots look impressive and fail the moment real permissions, real formats and real question variety arrive. These are the parts that decide it.

Warehouse-Native Retrieval

Documents and governed tables in one retrieval layer, so an answer can combine a policy clause with the number it applies to.

Advanced Retrieval Strategies

Hybrid search, reranking, query rewriting and metadata filtering — selected against your evaluation set rather than by default.

Agent Integration

The same knowledge layer backs the agents we deploy, so retrieval logic is built and evaluated once, not per application.

Enterprise Compliance

Query-time permission enforcement, full audit trail and PII handling aligned to the ISO 27001, SOC 2, HIPAA and GDPR controls we work under.

Every source your knowledge lives in

Structured and unstructured, in one index. If it holds knowledge your team searches for, we can bring it in.

PDF & scanned documentsWord, Excel & PowerPointSharePoint & OneDriveConfluence & NotionGoogle DriveJira & ServiceNowSnowflake & DatabricksBigQuery & RedshiftS3, ADLS & GCSEmail archivesAudio & meeting transcriptsPublic web & RSS

Frequently asked questions

Common questions about building a governed knowledge base on your own infrastructure.

A product gives you a generic pipeline and leaves the hard parts to you: parsing your document formats, tuning retrieval for your language, enforcing your permissions and proving accuracy. We build those against your corpus and hand over something measured, not assumed.
In your own cloud account. Indexes and embeddings live in infrastructure you control, and we can deploy on your existing vector store or stand one up alongside your warehouse.
Access is enforced at query time against your existing identity groups, not baked into the index at write time. If someone loses access to a document, the next query stops returning it.
We build a graded question set from what your team really asks, then track retrieval precision, answer accuracy and citation correctness against it. Every retrieval change is measured before it ships.
Standard office and PDF formats including scans through OCR, plus wikis, ticketing systems, object storage, email archives, audio transcripts and structured tables from your warehouse.
A two to four week assessment to scope sources and confirm quality, then six to ten weeks to a production index serving a defined user group. We can operate it as a managed service afterwards.

Stop searching. Start knowing.

Tell us where your knowledge lives and what your team keeps failing to find. We will tell you what it takes to make it retrievable.

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