Circular economy founders who've built something real with an AI tool and need it to succeed through early pilots and growth and when real users, clients or investors put it to the test. You may have zero or limited software coding experience. Or you may just want a second pair of eyes.
You built it with Replit or Lovable. Now what?
You've made something real, faster and cheaper than anyone could have a few years ago. Then comes the next question: is it ready for real users, and how would you know?
We work alongside circular economy founders at exactly that point. You know what you're building; we bring the questions you don't yet know to ask, and help you answer them.
Your challenge
You're juggling a lot: the vision, the customers, the funding, and now the build as well. Circular businesses carry more of this than most, because the model itself is often unfamiliar or challenges existing linear mindsets.
The right expertise
You know your business and your users better than anyone else. You know what the product needs to do and why it matters. That's the hard part, and now you also have the AI tools to build it.
These AI tools are genuinely good, and getting better. They give you something close to a team of developers on demand, working fast and cheaply, doing in an afternoon what used to take weeks and an expensive budget.
What they don't include is someone to check the work. That's us: twenty years of building software, and years of working with circular economy businesses. Circularity is our mission, so you won't be explaining every detail or why the impact matters.
What you can't see
You can click through your app, log in as each type of user, check that the screens do what you asked. What that doesn't show you is:
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whether each customer's data is properly protected
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why one change sometimes breaks a page that seemed unrelated
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whether an imported code library is safely up to date
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whether the code is steadily getting slower or more prone to errors
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whether the AI is following consistent good practice, or reinventing it each time
Issues like these usually don't stop the app working, which is exactly the difficulty. They surface later, at the worst moment: when real data goes in front of a real client, or when someone asks how their information is kept safe.
When you're stuck
Sometimes it's more obvious than that. The app has grown complex enough that changes start breaking other things, or you've hit something you don't know how to build and the tool doesn't help either.
Both come down to the same thing. Not the choice of tool or a better prompt, but engineering discipline: knowing which risks matter and which don't, how to build something so it stays easy to change, what to check before a change goes live, and which questions to ask in the first place.
That's where we come in. Not another tool. Experienced engineers, real people you can talk to, working with you as a one-off audit or week to week.
Start here: the app audit
A clear, honest review of what you've built and how you're building it.
We look at five things:
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How it's built. The architecture and technology choices, and whether they'll hold as you grow.
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Security. What someone could get into if they went looking, and what they could do once they were in.
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Your users' data. Who can see what, whether one customer's information can reach another, and where it's stored.
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Maintainability. Software needs gardening. We tell you whether yours is getting easier or harder to change, and whether anything in there is likely to cause you problems later.
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How you're building it. Your setup and how you're prompting, so you and your AI tool get better results from here.
You get a plain report: what's solid, what needs attention, what's urgent and what can wait, with our assessment of what each fix involves so you can decide what to take on. Findings are described as consequences and decisions, because that's what you need in order to act.
It works as a standalone health check you can repeat whenever you want. If it turns up things you'd rather not tackle alone, we can carry on from there, so you're not left with a list of problems and no one to help.
How It Works
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A short call. No commitment, and no obligation on either side. We work out together whether this is a fit.
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A simple agreement, and read-only access to your code for the duration of the review. We can't change anything, and access ends when the audit does.
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We run our review. You carry on building; nothing pauses.
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You get the report, and we talk it through so you can ask questions and decide what to do next.
After the audit: engineering alongside you
Optional, and only if you want it.
If the Audit turns up work you'd rather not do alone, or you simply want someone in your corner as you keep going, we can stay involved.
You build the way you already do, using your AI tool and driving your own vision. Nothing about your day to day changes. We make sure good engineering practice comes with it: feedback to you and your AI agent so both your prompts and your code improve, and, when you want it, code we contribute directly.
We can be light-touch, a second opinion when you need one, or hands-on, working on your app with you week to week. Flexible to where you are and what you can spend, from early exploration through to putting your app in front of real clients and beyond.
The earlier we start, the less there is to untangle, so it's worth a conversation before you're up against a deadline.
Building with values in mind?
The AI tools are mostly US-based, and the companies behind them are hard to pin down on data and environmental practice. You don't have to switch tools to deal with that. If it matters to you, we can reduce the impact, for example by hosting your app and data in the UK or EU when the time is right. We work only with circular economy businesses, so this matters to us too. Just ask.
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