We build AI agents, voice bots and SaaS products that actually ship.

AI chatbots and agents, real-time voice agents, automation bots, SaaS MVPs, websites, web apps, iOS and Android apps, Chrome extensions and desktop apps. If it involves an LLM, an API or a dashboard, it is probably a fit.

Most MVPs go from kickoff to a working product in 2–6 weeks, plus about a week to launch. Larger platforms are split into milestones, and the written scope we send after the discovery call shows the timeline for each one.

Cost depends on scope: the number of features, integrations, platforms and how much AI work is involved. After a short discovery call we send a written scope with a fixed quote, so there are no surprise invoices.

New products are usually a fixed-scope, fixed-price project. After launch you can move to an optional monthly retainer for new features, model upgrades and performance work, or we can work inside your existing team.

You do. The full source code lives in your own GitHub repository and every cloud account is in your name from day one, so you are never locked in to us.

We work inside your own accounts with the minimum access we need, keep secrets out of the code, and follow the privacy rules that apply to your data. We are happy to sign an NDA before you share anything sensitive.

Yes. We regularly join existing React, Next.js, Node.js and Python codebases, fix what is slowing you down and ship features alongside your developers.

We deploy to production with monitoring, documentation and a handover call. From there you can run it yourselves or keep us on a monthly retainer for support, fixes and new features.

Often, but not always. On the discovery call we look at the task, your data and the cost per use. If a simpler rule-based solution or an off-the-shelf tool would do the job better, we will tell you.

We ground answers in your own content (RAG), limit what the agent is allowed to do, add checks and a human hand-off for sensitive steps, and test against real questions before and after launch.

OpenAI, Anthropic Claude, Google Gemini and open-source models. We pick the model per task based on quality, latency and cost, and keep your app free to switch later.

We build with React Native and Expo, so one codebase runs on both iOS and Android with a native feel. That keeps cost and time down, and we handle App Store and Google Play submission.

Yes. Many of our projects are first versions of a product. We help you cut the scope to what matters for launch, so you can get real users and feedback quickly.

We are based in London and work on UK time, which overlaps with EU business hours and US mornings. Async updates go out daily.