Platform, AWS and SRE
Landing zones, cost and security reviews, migrations, pipelines, on-call that stays quiet.
AWS · AI · Software engineering
Senior engineers who work inside your team, scoped in writing before they start.
Teams we've worked with
Services
Three kinds of work. Scope, team and dates agreed in writing before anything starts.
Landing zones, cost and security reviews, migrations, pipelines, on-call that stays quiet.
Picking the use case, proving it on your data, running it in production.
Backend and platform code in TypeScript and Python, shipped into your repo.
When teams call us
If one of these sounds like this quarter, that is what the first call is for.
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.
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.
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.
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.
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.
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
Every engagement runs the same way. You know the scope, the days and the end date before any work starts.
Thirty minutes, no deck. We work out whether there is a fit and what the first piece of work would be.
Scope, who is on the team, how many days, and an end date, in writing before anything starts.
In your repositories and your accounts, with a short written update every week so you see progress, not promises.
Documentation and knowledge transfer. Nothing to cancel, and nothing you cannot run without us.
Case studies
Platform, AI and software work, with the numbers that came out of it.
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.
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.
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.
Facing something similar?
Book a callAbout
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
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.
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.
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.
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.
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.
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.
Thirty minutes. If it is not a fit, you will hear that on the call.