Studio expertise / Co-Build

AI RAG Development

Production-grade Retrieval-Augmented Generation systems — accurate, cited, and integrated with your data.

The work, connected

01A question
02Permitted sources
03A cited answer

Where it helps

Start with a useful application.

01

Enterprise knowledge hub

Ask questions across your documents, wikis, and databases — with cited answers and access controls.

02

Customer-facing document Q&A

Let customers query product manuals, contracts, or support docs with accurate, grounded responses.

03

Internal policy assistant

Surface HR, legal, and compliance policies instantly with audit trails and source attribution.

04

Research synthesis

Summarise and cross-reference large document sets — reports, filings, scientific papers — at speed.

Our approach

Make each step concrete.

Step 01

Data audit

Map your document sources, formats, access controls, and quality requirements.

You leave withA source and permissions map.

What the work should change

Define the outcome together.

Accurate, cited answers

Grounded responses users can trust, with sources linked back to the original document.

Continuous evaluation

Retrieval and generation quality monitored automatically — no silent degradation.

EvaluatedRetrieval and generation
4–6wTo production
Source-linkedCited outputs

Scope, timing, and success measures are agreed for each engagement.

Practical questions

Before we start.

Let’s make it practical

Let’s work through your requirements.

Tell us about the workflow, the users, and the constraints. We’ll discuss a practical first step.

Discuss your requirementsA conversation with the people doing the work.