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 platform migration: four services supported by a single governed foundation.

Decide

AI strategy

How to identify where AI adds value to your business, the implementation sequence, and the requirements for each stage.

 Foundations

Data consultancy

We deliver data strategy, engineering, analytics, and governance on one managed foundation.

 Build

AI development

We develop custom AI applications, agents, and chatbots and embed them into your business workflows.

 Move

Data migration

We reconcile warehouse, database, and cloud migrations on a row-by-row basis.

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Trusted by

Proof

Facilities Management
1.5
days freed up each week

Seven systems into one live dashboard

We merged seven different systems into one governed dashboard. The team can now examine data from the previous day rather than waiting three weeks for updates.

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IoT Connectivity
60%
of tickets handled to a human standard

Developer docs that answer to a human standard

We turned a client's static developer documentation into a multilingual AI assistant. It answers most support questions to a human standard without the client adding headcount.

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Supply Chain
24/7
live support in 11 languages worldwide

A website chatbot that captures new leads

We built a website chatbot on a custom knowledge base, in the client's own brand voice. It answers visitor questions around the clock and uncovers new business opportunities.

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More case studies

How we got here.

The lessons that shaped the company
01

It started with Enterprise Chat

Our first product let users query their data. They could pose a question and get an answer. We emphasised making the output reliable. Building the interface was not the main challenge.

02

Every AI project became a data project

As the company grew, we spotted a recurring problem. Our clients possessed disorganised data, causing their AI projects to fail when they tried to move them into production.

03

Answers are only as good as the data

When the underlying data was fragmented, undefined, or ungoverned, the AI delivered incorrect information with confidence. When the same model operated on a clean data foundation, it became useful. The quality of the data core was the main factor determining success.

04

So we changed the order of the work

We do not start with the use case. We begin with the data. We ready the data for artificial intelligence, build a secure connection layer, and then deliver the functional capabilities.

05

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

Every project, capability, and case study on this page rests on a single principle. When the central foundation is correct, the surrounding elements are reliable. If the foundation is incorrect, the external components have no value.

Offerings

Where you start depends on where you are.

The model consists of three layers that map to three engagement types. Most organisations begin at the centre since the other layers depend on it. If your foundation is already stable, we start our work at the outer levels.

Layer 01 · Core

AI-ready data foundation

This constitutes the foundational work for your other projects. We move your information to a cloud data warehouse and arrange it properly. This guarantees your data is in a format that AI can use for reliable analysis.

  • 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

This layer enables capabilities to reach the core system safely. It comprises standards, access controls, and protocols such as the Model Context Protocol (MCP). These tools link models to governed data while preserving full control over that information.

  • 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

Choose a capability from the outer ring. We will build it, integrate it into your existing systems, or deliver it as a custom application. We stay involved with the project until it consistently delivers your required results.

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What we build on

The platforms your team already trusts.

We use the tools your team currently operates and will keep using after our work is complete. We select a foundation based on your current data locations and your future requirements.

Questions

The questions we hear first.

What does Shipshape Data do?

We create the data infrastructure your AI needs, then we build the AI itself. This includes AI strategy, data consultancy, AI development, and data migration, all grounded in the principle that AI performance depends on data quality. If the data foundation is sound, the AI applications built on it will be reliable.

Do we need an AI strategy before building anything?

You need a strategy to identify which problem to solve first and to assess if your data is sufficient. This process may require a two-week readiness assessment rather than a six-month programme. We will give an honest recommendation for your specific situation because we prefer to build the correct solution rather than sell a longer project.

What is an AI readiness assessment?

This assessment evaluates your data, systems, skills, and governance to determine whether they can support AI in production. It identifies specific gaps that could cause a project to fail before you invest capital. You can complete our free self-assessment in about three minutes. We also conduct a more detailed version of this evaluation as the initial phase of a formal 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: one governed view of seven operational systems that returned 1.5 days a week to Smarter Services, a multilingual AI assistant at 1NCE, and an AI chat interface for Slimstock.

Let's start at your core.

Describe where your data is today and what you want AI to do. We will tell you plainly what the foundation needs and where the quickest real win is.

Talk to us

If you are not ready to talk, you can evaluate your AI readiness in about three minutes. You do not need to provide an email address. Score your AI readiness.