Make your
data work
for AI.
Your AI ambitions need a solid data foundation. We connect your systems, untangle your data, and build the pipelines that turn ideas into working tools.
Start with the problem. We’ll help you find the path.
AI is only as useful as
the data behind it.
Your data is in spreadsheets, business apps, databases, and documents. Getting it into a form AI can actually use is often the hardest part. That’s where Magnetic North comes in.
The foundation.
The connections. The build.
Practical help at the point you need it, from your first AI use case to the data platform behind it.
Get your data AI-ready
Data readiness & strategyFind the data your AI project needs, assess its quality, and create a clear plan to close the gaps. Start with a focused use case and a foundation you can trust.
02Connect your data to AI
Pipelines, retrieval & integrationBring business data and documents into AI workflows with repeatable pipelines, retrieval systems, and the access controls your use case requires.
03Go deeper with data engineering
Platforms & advanced engineeringBuild and improve cloud data warehouses, ELT pipelines, data models, and orchestration. Give analytics, operations, and AI a more reliable backbone.
From disconnected to useful.
A foundation built around your use caseStart focused.
Build something useful.
Connect the engineering work to a real business need, with a clear scope and a path your team can maintain.
Find the right starting point.
Define the outcome, map your systems, and look at the data you actually have. Identify what needs to change before you invest in a larger build.
The output: a prioritized plan.
Make the connections.
Implement the pipelines, models, and integrations your use case needs. Check the data and the workflow against the job they’re meant to do.
The output: a working implementation.
Make it dependable.
Add monitoring, documentation, and a clear handoff. Refine the foundation as you learn what works and where the next opportunity sits.
The output: a maintainable foundation.
A little clarity
before we talk.
We want to use AI. Where should we start?
Start with one useful outcome: helping support find answers, automating a recurring task, or giving your team a clearer view of the business. We help trace that outcome back to the data it needs, identify gaps, and scope a practical first implementation.
What does it mean to get our data ready for AI?
It means making the relevant data accessible, consistent, current, and understandable, with appropriate access controls. Depending on the use case, that can involve connecting source systems, cleaning records, defining business metrics, or preparing documents for retrieval.
Can you work with our existing systems?
We start by understanding your current applications, warehouse, and workflows. The goal is to use what works and address the gaps that matter. Any changes to your stack should have a clear reason tied to the outcome.
Do you also do data engineering without an AI project?
Yes. Magnetic North also helps with data pipelines, cloud data warehouses, data modeling, orchestration, quality checks, and performance improvements. A more reliable data platform is valuable for analytics and operations as well as AI.
What should we bring to a first conversation?
Bring the business problem, a rough idea of where your data lives, and anything you have already tried. You don’t need a finished technical brief. We can help turn an early idea into a clear scope.
What could better
data make possible?
Tell us what you want AI to do, where your data lives, and what’s getting in the way. We’ll start with a conversation about the right next step.
Your inquiry goes directly to Magnetic North.