AI is part of how we work, from writing and reviewing code to testing, documentation and deployment. It is in the daily routine of every engineer, not a side experiment, and it is how a small team delivers the scope of a much larger one.
codereviewtestsdocsdeployAI assists
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A person checks the result
Using AI every day has taught us where it saves time and where it needs a person to check the result. That review step comes with us into your project: AI drafts and suggests, an engineer decides what ships, and anything not good enough goes back with notes.
AI draftsengineer reviewsshipssent back with notes
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One team for the whole path
Most projects use all three of our specialities. Data has to be collected and cleaned before an agent can use it, and people need a web app to see and steer the results. We build the whole path, so nothing gets lost between teams.
Data pipelineAI agentWeb apppeople steer
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Two ways to work
Choose a fixed-scope project, where we agree the outcome up front and deliver it end to end through clear milestones. Or embed our engineers in your team, working in your repositories and processes alongside your own developers.
Fixed scopeEmbedded in your team
What we build
ServiceWhat it coversYou end up with
Web application development
Customer portals, internal tools and SaaS products, from first design through to production.
You end up with: A tested, deployed app your team can run and extend
Data pipeline development
Pipelines that collect, clean and move data between your systems, on a schedule or in real time.
You end up with: Data you can trust, with monitoring when something breaks
AI agent development
Agents that read documents, use your tools and complete multi-step tasks, with guardrails and human review where it matters.
You end up with: An agent in production, measured against real tasks
Tell us what you want to build.
A few lines about the problem, your data and the systems involved is enough. We’ll reply to arrange a call and tell you honestly whether we’re a good fit.