Project stories

AI engineering case studies

Every system starts with a real problem.

Production work, written up decision by decision: the business problem, the engineering choices and how the system runs. Client details are anonymised.

Discuss your project

Project storiesIdeas, decisions and systems

From a brief
to a system.

Production work, written up decision by decision. Client details are anonymised; diagrams inside each story are marked as illustrations.

Production project · Legal and healthcare AI

Engineering a regulated document-AI platform at billion-token scale

How Webexa planned, built and runs a highly available, multi-region legal and clinical AI platform: production in about nine weeks, billions of tokens processed, and compliance engineered into every layer.

Illustrative: how every page of a record is accounted for before anything moves on.

Read this diagram as text

A bundle lands. The expected page count is saved before processing starts.
Page tasks complete and the processed counter climbs.
The release gate stays held while processed is below expected.
Processed equals expected: the gate opens and every page is accounted for.

Start a conversation

What are you working towards?

A new product, a complex integration, or a workflow ready for change. Tell us what you have in mind.

01You share an outline. A rough one is enough.
02We review it and reply by email with questions or a suggested next conversation.

Contact Webexa

Loading Webexa…

AI engineering case studies

From a briefto a system.

Engineering a regulated document-AI platform at billion-token scale

What are you working towards?

AI engineering case studies

From a briefto a system.

Engineering a regulated document-AI platform at billion-token scale

What are you working towards?

From a brief
to a system.

From a brief
to a system.