We build mobile apps for customers and teams, and we add AI where it makes the app genuinely more useful: an assistant that answers questions, a camera that understands documents or images, search that knows what users mean. One Flutter codebase for Android and iOS.
If two or more of these sound like your business, there is usually a quick win.
Bills, documents, products or faces: the app should understand the photo, not just store it.
People need help inside the app but support is a phone number or email away.
Large catalogues or content libraries where users cannot find what they want.
Staff on the move type long reports that could be filled from a photo or voice note.
Every feature runs through a secure backend, so keys and business rules stay off the device.
Answers user questions inside the app, using your content and the user's own data with permission.
Recognise, classify or verify photos taken in the app. Our FakeSpot app detects AI-generated images.
Scan a bill, ID or form with the camera and get the fields filled in automatically.
Semantic search and recommendations based on what users actually look for.
Personalised text and stories generated in-app, like our Kidzo story generator.
Apps that trigger workflows such as bookings, approvals and notifications in your business systems.
We pick the model per use case, based on accuracy, cost, speed and where your data is allowed to go. Not every project needs every provider, and some need no large language model at all.
Your data stays in systems you control. We use provider settings that keep business data out of model training, and we keep API keys on your servers, not inside the mobile app or browser.
Our own AI products, live on the Apple App Store.
Detects AI-generated and manipulated photos in seconds.
View app →Conversational AI companion with personalised chats.
View app →AI face and skin analysis with personalised care tips.
View app →Personalised AI bedtime stories with positive lessons.
View app →Small first release, measured, then expanded. No big-bang rollouts.
A 30-minute call to map the process, who touches it and where time is lost.
We propose the smallest useful solution, with a fixed scope and clear success measure.
Working software in short cycles. You see progress every week, not at the end.
Connect it to the tools and data you already use. Train your team on it.
Review real usage, fix what is slow or wrong, then automate the next step.
FakeSpot is our iOS app that checks whether a photo is AI-generated or manipulated. Users upload or capture an image and get a clear authenticity result. We designed the app, the image-analysis pipeline and the App Store release, and we continue to maintain it.
Read the project story →Yes. We use Flutter, so one codebase runs on both Android and iOS with native performance, which keeps cost and maintenance lower than two separate apps.
Yes. We add a backend AI layer and new screens to your existing app. Rebuilding is only suggested when the current code cannot be maintained.
Not if designed well. We use small, fast models for simple tasks, cache results and only call larger models when needed. We share an estimated running cost per active user before you commit.
Yes. We handle store listings, review guidelines and submission. We have shipped several of our own apps to the Apple App Store.
You do. On completion you receive the full source code, store accounts are in your name, and all API keys belong to your accounts.
A focused MVP with one core AI feature usually takes a few weeks. Our standard MVP plan runs in 12 days for well-defined scopes; larger apps are delivered in phases.
Answer four short questions. We reply on WhatsApp or email, usually the same working day, with honest feedback on whether AI or automation is the right fit.
Most projects combine two or three of these.
Automate data entry, document handling, reports and approvals so your team stops doing repetitive work.
Learn more →Website and WhatsApp chatbots that answer from your own business information and capture leads.
Learn more →Add OpenAI, Claude or Gemini to your existing app, CRM or internal tools, with search over your own data.
Learn more →Connect the tools you already use so data moves on its own instead of through copy-paste and calls.
Learn more →