Responses stream on Wi-Fi but break on mobile data.
AI + React Native
AI-powered mobile apps,
built for production.
We design and ship AI features in React Native and Expo apps: chat, image recognition and voice. Built to stay reliable on poor connections, keep model costs under control and meet App Store and Google Play requirements.
Your consultation is led by the engineer responsible for your project.
Challenges
An AI prototype still has a long way to go before the store.
A feature that works in a browser is not yet a mobile product. On a device you also need a connection that holds, predictable model costs per user, sensible offline behaviour, store approval and the native modules the feature depends on.
The model API key is shipped inside the app.
The cost per active user has not been measured.
The app was rejected under App Store rules for AI features.
Pricing
Three packages, each with a price ceiling.
Introductory pricing for our first clients, at senior-team rates that will increase later. The full scope of each package is listed here, before the consultation.
Audit & Fix
For apps that were rejected, fail to build, or have an AI feature that is not ready for users.
- Audit and risk map
- Keys, security and authentication review
- Native code, build and release review
- Critical fixes
- Handoff notes
Production-Ready
For a working AI feature that needs to reach real users reliably.
- Audit included (fix list in 2 days)
- Architecture and data model
- AI feature: streaming, cost control and fallbacks
- Native modules and permissions
- EAS builds, CI/CD and store submission
- Monitoring and handoff to your team
AI MVP
For teams with a product idea that need an AI-powered app in the stores.
- Audit included (fix list in 2 days)
- Product scope and user flows
- AI feature and model selection
- Backend, data model and cost control
- Authentication, deployment and store submission
- Handoff and roadmap for next steps
* The prioritised fix list is delivered within two working days, and the rest of the week is spent on critical fixes. The audit is included with a Production-Ready or AI MVP contract. On its own it costs up to $1,800, with no obligation to continue.
Services
Most of what we build is mobile apps with AI.
Our focus is mobile: React Native, Expo, native modules and store release. When the product requires it, we also build the web app and backend. Each service page sets out the scope and price.
Mobile development
Cross-platform iOS and Android apps, from architecture to store release.
Web applications
Frontend, backend, CMS and SEO foundations, ready before launch.
Backend & microservices
APIs, data, queues and service boundaries that justify their cost.
Integrations
Payments, CRMs and external APIs, resilient to third-party outages.
Audits
Prioritised fix list in 2 days, included with a build contract.
AI prototype rescue
Prototypes from Lovable, Bolt, Replit and Base44, made production-ready.
Process
A quote within 48 hours, then a build to try every week.
A 20-minute consultation, a quote within 48 hours and a prioritised fix list within two working days of repository access. Every week you get a working build to try, which tells you more than any status report.
Free consultation (20 minutes)
We review the prototype, discuss your main concerns and agree what 'ready' means for your users.
Proposal with scope and price (within 48 hours)
A defined scope, delivery plan, assumptions and the price.
Prioritised fix list (2 working days)
Existing projects start with an audit. Within two working days you receive every issue we found, ranked by user impact and effort, with an estimate for each.
Weekly sprints
A working build every week, a short summary and an up-to-date list of what is ready for release.
Handoff and support
Documentation, context and a clear plan after launch. Ongoing support is available as an optional retainer.
Portfolio
We publish verified work only.
Client projects will be published here once the client has confirmed the results and approved publication.
Our first client projects are in progress.
We share progress on LinkedIn. Results, technology choices and client feedback will be published here with the client's permission.
Two apps we designed, built and released ourselves.
ariex.fit (an AI fitness coach that recognises gym equipment through the camera) and Mira (a mindful photo journal, available on the App Store). Both are built with React Native and Expo and used by real people.
Technology
Our technology stack.
The same toolset, whether we start from your idea or from an existing app.
* The tools we use most often. The stack is always chosen per project.
Team
Work directly with the team building your product.
The same three people do the engineering, QA, delivery and client communication. We never pass your project to a team you haven't met.
FAQ
Frequently asked questions
Can you add AI features to our existing app?
Yes. Typical work includes streaming chat that stays reliable on weak connections, camera and image recognition, voice, search over your own data, and moving model calls to a server so the API key is not stored in the app. We begin with an audit, so the quote is based on the actual code.
Will Apple reject an app because it uses AI?
Not for using AI as such. Rejections come from what surrounds the feature: user-generated content without moderation or reporting, an age rating that does not reflect what a chatbot can say, permissions without a clear purpose, data sent to a model provider that is missing from the privacy labels, or a subscription screen that does not explain what the AI does. We address all of these before submission. No one can guarantee approval.
Do you build both mobile and web apps?
Our focus is mobile: React Native and Expo, native modules in Swift and Kotlin where a vendor SDK has no wrapper, and release to the App Store and Google Play. We also build the web apps and backends these products need. Each service page lists the exact scope.
Do you write tests?
Yes, and testing is included in the project price. Unit and integration tests cover the logic that is costly to get wrong, end-to-end tests cover the revenue-critical flows, and both run on every pull request so CI catches regressions before customers do. On mobile we run Detox from EAS Workflows against a real build before each store submission. AI helps us generate edge cases that are rarely written by hand, such as an interrupted upload, a session expiring during checkout, a retry after a timeout or an emoji in a name field. A senior engineer decides which are realistic. We don't chase a coverage percentage.
Do you sign NDAs?
Yes, before you share any project details.
Do you use AI to write code?
Yes, openly. Claude Code, Codex and GitHub Copilot speed up boilerplate, migrations and testing, and help surface edge cases. Architecture, security and the definition of production-ready stay with our engineers. Every AI-assisted change is reviewed by a senior engineer before release.
What if my project was not built with Lovable, Bolt, Replit or Base44?
That's fine. We also build products from scratch and take on standard web, mobile, backend and AI projects. AI builders are a common starting point, but you don't need one to work with us.
What size of projects do you take on?
Small and medium-sized: a single product delivered by a small senior team. We do not take on large, multi-team enterprise platforms.
Fixed price or hourly?
The three core packages have a price agreed in advance. Hourly billing applies to agency subcontracting or when the scope can't be pinned down yet.
What happens after launch?
We hand the project over with full documentation. Ongoing support is available as an optional monthly retainer.
Free consultation · 20 minutes
Let's talk about your project.
Share your repository, the build error or the rejection notice. In 20 minutes we'll tell you what to do next: targeted fixes, a rebuild, or not going ahead at all.
Prefer email? [email protected]