The AI consultancy that builds foundations first

AI is only as good as its data core.

The core
The data foundation

Your data, made AI-ready on a cloud data warehouse, structured with a medallion architecture and a semantic layer.

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Services

An AI consultancy, end to end

Strategy, data, build, and the move between platforms: four services, one governed foundation underneath them all.

Decide

AI strategy

Where AI earns its keep in your business, in what order, and what each step depends on.

Foundations

Data consultancy

Data strategy, engineering, analytics, and governance on one governed foundation.

Build

AI development

Bespoke AI applications, agents, and chatbots, shipped into your workflows.

Move

Data migration

Warehouse, database, and cloud migration, reconciled row by row.

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Trusted by

Proof

How we got here.

The lessons that shaped the company
01

It started with Enterprise Chat

Our first product let people talk to their data. Ask a question, get an answer back. The key was making the output reliable. The interface was never the hard part.

02

Every AI project became a data project

As we scaled the business, we kept coming back to the same thing. People's data was a mess and their AI projects were failing as soon as they went to push them into production.

03

Answers are only as good as the data

Where the data underneath was fragmented, undefined, or ungoverned, the AI was confidently wrong. Point the same model at a clean foundation and it becomes useful. The data core became the determining factor for success.

04

So we changed the order of the work

Instead of starting with the use case, we start at the centre. Get the data AI-ready, build the layer that connects it safely, then deliver the capabilities on top.

05

That's why the foundation sits at the centre of everything

Every engagement, every capability, every case study on this page traces back to one belief. Get the core right, and everything around it can be trusted. Get it wrong, and nothing on the outer ring is worth building.

Offerings

Where you start depends on where you are.

Three layers of the model map to three kinds of engagement. Most organisations begin at the core, because that's what everything else depends on. If your foundation is already solid, we pick up further out.

Layer 01 · Core

AI-ready data foundation

The work everything else depends on. We move you to a cloud data warehouse and structure it properly, so your data is something AI can be trusted to reason over.

  • Migration to a cloud data warehouse
  • Medallion architecture: bronze, silver, gold
  • Semantic layer: one governed definition of your business
  • Documented lineage and quality standards
The data foundation
Layer 02 · Connective

Connectivity, governance, logic

The layer that lets capabilities reach the core safely. Standards, access controls, and the protocols, including the Model Context Protocol (MCP), that connect models to governed data without losing control of it.

  • MCP servers and tool interfaces
  • Access controls and row-level governance
  • Business logic and transformation rules
  • Auditable lineage from question to source
MCP and connections
Layer 03 · Outer ring

Use-case builds

Pick a capability from the outer ring. We build it, integrate it into the systems your team already uses, or ship it as a custom app on top, and stay with it until it reliably produces the outcome you signed up for.

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What we build on

The platforms your team already trusts.

We build on the tools your team already runs, and the ones you'll keep running after we've handed over. The right foundation depends on where your data lives today and where it needs to go.

Questions

The questions we hear first.

What does Shipshape Data do?

We build the data foundation your AI depends on, then the AI on top. That means AI strategy, data consultancy, AI development, and data migration, all resting on one belief: AI is only as good as its data core. Get the core right and everything built on it can be trusted.

Do we need an AI strategy before building anything?

You need enough strategy to know which problem to solve first and whether your data can support it. Sometimes that is a two-week readiness assessment, not a six-month programme. We will tell you honestly which your situation calls for, because we would rather build the right thing than sell the long version.

What is an AI readiness assessment?

A structured look at your data, systems, skills, and governance that scores how ready each is to support AI in production. It surfaces the gaps that would sink a build before money is spent on one. You can take our free self-assessment in about three minutes, or we run a deeper version as the first step of an engagement.

Who do you work with?

Mid-market and enterprise organisations, with deep experience in manufacturing, private equity, supply chain and logistics, facilities management, and IoT and telecoms. The proof is in the case studies: AI document processing that freed 1.5 days of admin a week at Smarter Services, a multilingual AI assistant at 1NCE, and an AI chat interface for Slimstock.

Let's start at your core.

Tell us where your data is today and what you want AI to do. We'll tell you honestly what the foundation needs and where the quickest real win is.

Not ready for a conversation? Score your AI readiness in about three minutes. No email needed.