AI Development · London
Developers who build with AI every day, and who'll tell you what's worth building first. A small senior team, 22 miles down the Thames.
London has no shortage of any of them. The trouble is that most consultants don't build and most developers don't advise, so the plan and the work drift apart. We do both, and we're honest about which one you need.
You know the job: a new system, AI reading incoming documents into software you already run, a search across your own content. You want it built properly, by people who'll still understand it next year.
You're not sure whether to build, buy or adapt, or what should go in the first version, or whether building it with AI will really save money. That's a conversation about the build, and we'll tell you if the answer is "buy it".
Someone built an app with Lovable, Bolt or Replit and it has quietly become important. Start with our security checklist, then the AI Code Audit, a fixed-price written review. If it's already in trouble, here's how we rescue them.
AI builds are one strand of a wider technology plan nobody holds. That's what our fractional CTO is for, or the whole lot as Your tech department.
Some of the London organisations we've worked with, without the names:
Publishing, membership and media organisations are a lot of what we know. They tend to have large archives, subscriber or member data, and editorial workflows full of repetitive steps. That's exactly where an AI feature built into your own system earns its keep, and exactly where the data needs the most care in the design.
AI does a lot of the typing. An experienced developer designs the system, reviews every line, tests it and owns the security. That's quicker and cheaper than traditional development, without the problems you get when nobody is really in charge of what the tool produces. The difference is laid out in AI-assisted development vs vibe coding, the detail is in our AI software engineering process, and what it tends to cost is in what AI-built software costs.
Before we build, we ask whether we should. If an off-the-shelf product or an open-source tool already does most of the job, you'll hear that first.
We build the AI feature or the new system, document it, and hand it to your team with a walk-through.
We work with your developers on it, so the knowledge stays in-house when we step back.
Your team builds with AI tools; we review the code for the security and structural problems those tools tend to leave behind.
Our office is in Gravesend, about 22 miles from central London as the crow flies. We'll come to you wherever you are if the project needs it: kick-offs, workshops and the afternoon with the people who actually do the work. The rest is remote, and you deal with Rob or Jason directly rather than an account manager.
If you're comparing an AI software development company, London-based or not, the question worth asking is who will actually design the system and check the code that AI writes. Here, that's Rob or Jason, every time.
Being outside London also keeps us small and senior. Rob, Jason and a small team, who've been building business software since 2011. More on our approach in AI software development, done properly.
We're a software company in Gravesend, about 22 miles from central London, building for London organisations remotely and on site when the project needs it. We build with AI and advise on what to build, so you're not handing a consultant's plan to a separate developer.
Usually, yes. Most systems can be extended through an API or a database integration. We design the feature, build it with AI-assisted development, and test it properly before it goes live.
Yes. We can build an AI feature and hand it over, build it with your team, or review code your developers have produced with AI tools before it ships.
The feature gets only the fields it needs, access rules are enforced on the server, and we check the terms of whichever AI service it uses before personal data goes near it. Your organisation stays responsible for that data under UK GDPR, so we make each choice visible.
Often. We read it first, write down what's safe and what isn't, and fix it in place where we can rather than rebuilding. The AI Code Audit is the usual first step.
What the organisation does, the systems involved, and what you'd like built. If buying something would be the better answer, we'll say so.
What we will cover:
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