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AWS · AI · Software engineering

Platform, AI and software engineering.

Senior engineers who work inside your team, scoped in writing before they start.

Amazon Web Services Official AWS Partner

Teams we've worked with

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Services

What we do

Three kinds of work. Scope, team and dates agreed in writing before anything starts.

Platform, AWS and SRE

Landing zones, cost and security reviews, migrations, pipelines, on-call that stays quiet.

AI adoption

Picking the use case, proving it on your data, running it in production.

Software engineering

Backend and platform code in TypeScript and Python, shipped into your repo.

When teams call us

The situations we usually walk into

If one of these sounds like this quarter, that is what the first call is for.

The AWS bill doubled

Now   Spend has doubled since last year and nobody can say which workload did it.

With us   A review of the accounts, findings ranked by cost, and the fixes applied while we are in there.

One engineer holds the platform

Now   One person knows how production works, and they are on holiday next month.

With us   A consultant embedded with the team, turning what is in their head into code and runbooks.

The audit is in eight weeks

Now   A security questionnaire or DSPT submission is due and the landing zone was never finished.

With us   Governance, logging and encryption put in place to the standard the auditor will check.

The migration stalled

Now   Half the estate is in AWS, half is not, and the project has lost its owner.

With us   A lead and a small team to finish it, with MAP funding where the workload qualifies.

The roadmap needs more hands

Now   A deadline the current team cannot hit without hiring, and hiring takes four months.

With us   Senior engineers in your repository, shipping through your pipeline to your standards.

The board wants an AI answer

Now   You have been asked what the company is doing about AI, and there is a slide, not a plan.

With us   A use case chosen for payback, proved on your data, with a running cost you can defend.

How we work

From first call to handover

Every engagement runs the same way. You know the scope, the days and the end date before any work starts.

  1. 01

    A call

    Thirty minutes, no deck. We work out whether there is a fit and what the first piece of work would be.

  2. 02

    Written proposal

    Scope, who is on the team, how many days, and an end date, in writing before anything starts.

  3. 03

    The work

    In your repositories and your accounts, with a short written update every week so you see progress, not promises.

  4. 04

    Handover

    Documentation and knowledge transfer. Nothing to cancel, and nothing you cannot run without us.

Case studies

Real engagements, with numbers

Platform, AI and software work, with the numbers that came out of it.

Acorn (Compliance Platform)

HealthTech / SaaS

One consultant in your team

Zero-downtime launch, NHS DSPT due diligence passed

Acorn needed to launch 'Squirrel 2,' a critical compliance platform for the NHS and healthcare providers. As an incredibly cost-conscious company, they required a secure, scalable infrastructure that could move off expensive EC2 instances while meeting strict NHS compliance standards.

  • Successful Launch of Squirrel 2: The platform went live with zero downtime, immediately serving NHS and private healthcare clients
  • 100% Compliance Confidence: The architecture successfully passed strict due diligence, enabling Acorn to sell into highly regulated NHS trusts without friction
  • Scalable Foundation: The new infrastructure automatically adjusts to traffic spikes, ensuring performance never degrades for compliance officers using the tool
Read the full case study →

Alluvial (Institutional Liquid Staking)

FinTech / Web3

A small team for a build

Passed multiple external security audits

Institutional investors needed a compliant way to stake assets. They required the yield of staking but needed the flexibility to toggle between 'Private' (compliant) and 'Liquid' (public) states based on shifting regulatory landscapes.

  • Regulatory Flexibility: Provided a technical solution to a legal problem, allowing the product to launch despite regulatory ambiguity
  • Audit-Ready Code: The strict CI/CD and typed Go infrastructure ensured the codebase passed multiple external security audits with flying colours
  • High Availability: The Kubernetes-based off-chain layer ensured that data feeds and APIs remained responsive even during periods of high network congestion
Read the full case study →

EDSports (EdTech Platform)

Education / Gaming

A small team for a build

Setup time cut from 20 minutes to 30 seconds

EDSports wanted to bring Minecraft Education esports to schools, but most schools rely on low-spec Chromebooks that cannot run the game locally. They needed a zero-install, GDPR-compliant solution.

  • 100% Hardware Agnostic: High-fidelity Minecraft now runs smoothly on $150 Chromebooks and ten-year-old laptops
  • Instant Access: No installation or patching required by school IT admins. Students simply log in and play
  • Teacher time back: The custom launcher reduced setup time from 20 minutes to 30 seconds, maximising learning time
Read the full case study →

Facing something similar?

Book a call

About

A safe pair of hands

North Point Digital is a UK engineering consultancy. Our consultants have spent the last decade inside enterprise cloud estates as architects, SREs and software engineers, so we know what things cost, where the money leaks, and which parts of a platform wake people up at night.

You buy our time, scoped in writing. Every engagement is staffed with senior people, and you know who is on it before it starts.

North Point Digital is an official AWS Partner. The AI and software work draws on the same engineering, pointed at your business.

FAQ

Questions we hear a lot

What happens on the first call?

Thirty minutes.

You describe the problem, we ask questions, and we work out whether there is a fit. If there isn't, we'll say so on the call and point you somewhere better if we can. No deck and no follow-up sequence.

How does an engagement start?

With a written proposal.

It states the scope, who is on the team, how many days the work needs, and the end date. Nothing is billed until you've agreed it.

Most engagements take one of three shapes: one consultant embedded in your team, a small team for a defined build, or a set number of consultant days a month for ongoing work.

Who does the work?

Senior consultants.

The proposal names who is on the engagement, and you can meet them before it starts. We don't swap people in without telling you. When a piece of work needs another specialism, we bring in a consultant who has it, and the same rule applies.

Do you only work on AWS?

No.

AWS is where most of our platform work has been, and North Point Digital is an official AWS Partner. AI adoption and software engineering don't depend on where your systems live.

For AI work, your data stays where it is: on-prem, Microsoft, Google, or spreadsheets and email. The model runs on infrastructure we set up and manage, and you never need to log into it.

Do you work remotely or on site?

Remotely by default, from the UK.

Our consultants work in your chat tools, your repositories and your accounts. Days on site for workshops or kick-offs are fine where they're useful, and they go in the proposal like everything else.

What happens at the end?

Handover.

Documentation, infrastructure as code and a knowledge-transfer session, so your team can run what we've built without us. There's nothing to cancel afterwards. Clients who come back do so because they want to, not because they're locked in.

Bring the problem. We'll tell you how we'd staff it.

Thirty minutes. If it is not a fit, you will hear that on the call.

Amazon Web Services Official AWS Partner Scope, team and dates in writing before work starts Nothing to cancel afterwards