Production discipline, from the first week.
Every engagement follows the same four stages, whether we deliver a project end to end or join your team.
The four stages
Assess
We review your architecture, data, goals and constraints, and agree what success looks like.
Design
Target architecture, a delivery plan and the measures we will be judged on.
Build
Short iterations, working software early, built alongside your team in your accounts.
Run
We operate it to agreed service levels, improve it, or hand it over with runbooks.
Ways to work with us
- Delivery projectsWe own an outcome end to end: scope, build, launch and handover.
- Embedded engineersOur engineers join your team and work in your rituals, tools and codebase.
- Run and improveWe operate what is live, keep it reliable and keep improving it.
What we hold ourselves to
Production from day one
Security, observability and cost are designed in, not bolted on at the end.
Evaluate before you ship
AI features get test suites and measurable quality bars, like the rest of your software.
Your accounts, your code
We build in your cloud accounts and your repositories. You own everything we make.
Hand over, never lock in
Runbooks, documentation and training come with every engagement.
What a first conversation covers
You talk to an engineer, not a salesperson. You leave with a clear next step, whether or not it involves us.
- What you want to launch or fix, and why now
- Where things stand today: architecture, data, team and constraints
- What success looks like, and how we would measure it
- Which way of working fits: a project, embedded engineers, or run and improve
Tell us where your AI is stuck.
One conversation with an engineer. No sales script.