M3CABridging Media & IT
M3CA://AIOnlineRuntime: Retrieval + evalsGuardrails: On by defaultRegion: UK / EU
Applied intelligence, in the room — Engineers reviewing a retrieval interface with cited source documents on a dark studio wall
Applied intelligence, in the room

Demo

Applied intelligence — retrieval with citations — Analyst desk showing an assistant answer with citations linked back to source documents
Applied intelligence — retrieval with citations

01Sector dossier

Intelligence you can audit, not a demo you can applaud.

M3CA AI is a standing team of retrieval engineers, evaluation leads and interface designers.

Bring us a use case
AI — operating picture — Bid team at a London desk reviewing government contract notices on a wall of screens with tender documents spread out
AI — how the vertical runs
  • 01We put models inside the tools people already use, with citations on every answer and a test set that runs before anything ships.

94%

Answers with a checkable source

1.4s

Median first token in production

0

Shared god-account deployments

The loop we build against

Five stages. Every one of them has an owner, an artefact and a number.

Select a stage to read what we build there.

Documents, tickets and policies indexed with permissions intact

1.2M chunks live

Operating ledger

The paperwork is part of the product.

The controls that come with every deployment, written down before the first prompt is tuned.

What we deliver

Four outcomes, not four paragraphs.

Retrieval over your own knowledge — Analyst demonstrating an AI retrieval assistant answering with numbered citations back to source documents

Retrieval over your own knowledge

Documents, tickets, policies and product data indexed and searchable with citations, so answers can be checked rather than trusted.

Assistants with real context — Knowledge architect reviewing a permissions map of document clusters and access tiers on a dark screen wall

Assistants with real context

Scoped to a team, a product or a patient pathway, with the permissions of the person asking, never a shared god-account.

Automation with a paper trail — Analyst desk with dashboards charting operational performance data

Automation with a paper trail

Triage, classification, drafting and routing, each step logged so an auditor can reconstruct what happened and why.

Evaluation before rollout — Two analysts comparing an answer-quality evaluation scoreboard against tabbed source documents on a night desk

Evaluation before rollout

Test sets built from your own cases, scored against a baseline, re-run on every model change.

Products in this sector

All products
M3CA Atlas, AI — Analyst desk showing an assistant answer with citations linked back to source documents

AI — Beta

M3CA Atlas

Knowledge layer over your own documents, with a citation behind every answer.

On M3CA TV

Atlas, In Practice, 09:48 film — Analyst demonstrating an AI retrieval assistant answering with numbered citations back to source documents

09:48

Atlas, In Practice

What we refuse

Three things we will not do.

  1. 01

    Assistants without evaluation. If we cannot score it, we will not ship it.

  2. 02

    Answers without provenance shown to a decision-maker.

  3. 03

    Autonomous write access to a system of record on day one.

Disciplines

Switch sector

02Healthcare03Education04Cyber & Compliance05Media06Managed IT07Sous Chef08Opportunity09Marketing10Talent

Start

Bring us the workflow, not the buzzword.

Tell us the decision people are slow to make and the documents behind it. We will tell you honestly whether a model helps.

Talk to the teamSee our work