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AI-Powered Mobile Apps

AI-Powered Mobile App Development for Android and iOS

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.

When AI makes an app better

If two or more of these sound like your business, there is usually a quick win.

Users photograph things

Bills, documents, products or faces: the app should understand the photo, not just store it.

Users get stuck

People need help inside the app but support is a phone number or email away.

Too much to browse

Large catalogues or content libraries where users cannot find what they want.

Field teams fill forms

Staff on the move type long reports that could be filled from a photo or voice note.

AI features we build into apps

Every feature runs through a secure backend, so keys and business rules stay off the device.

In-app AI assistant

Answers user questions inside the app, using your content and the user's own data with permission.

  • Chat or voice input
  • Grounded in your content
  • Escalates to support

Image analysis

Recognise, classify or verify photos taken in the app. Our FakeSpot app detects AI-generated images.

  • Detection and classification
  • Quality and authenticity checks
  • On-device + cloud options

Document scanning

Scan a bill, ID or form with the camera and get the fields filled in automatically.

  • OCR + AI extraction
  • Review before submit
  • Works offline-first

Smart search & recommendations

Semantic search and recommendations based on what users actually look for.

  • Search by meaning
  • Personalised suggestions
  • Multi-language

Content generation

Personalised text and stories generated in-app, like our Kidzo story generator.

  • Guardrails and moderation
  • Brand tone
  • Usage limits per plan

Connected to your backend

Apps that trigger workflows such as bookings, approvals and notifications in your business systems.

  • Java Spring Boot, Node.js, Firebase
  • Payments (Razorpay, Stripe)
  • Push notifications (OneSignal)

AI models we work with

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.

OpenAIGPT models, ChatGPT API
AnthropicClaude API
GoogleGemini API
Your stackEmbeddings, vector search, OCR

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.

AI apps we have shipped

Our own AI products, live on the Apple App Store.

See all our apps →

How a project runs

Small first release, measured, then expanded. No big-bang rollouts.

Discover

A 30-minute call to map the process, who touches it and where time is lost.

Design

We propose the smallest useful solution, with a fixed scope and clear success measure.

Build

Working software in short cycles. You see progress every week, not at the end.

Integrate

Connect it to the tools and data you already use. Train your team on it.

Improve

Review real usage, fix what is slow or wrong, then automate the next step.

Proof from our own work

FakeSpot AI image detector app
Real project

FakeSpot: AI Image Detector

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 →

Frequently asked questions

Do you build both Android and iOS apps?

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.

Can you add AI features to an app we already have?

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.

Will AI features make the app slow or expensive to run?

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.

Do you publish the app to the App Store and Play Store?

Yes. We handle store listings, review guidelines and submission. We have shipped several of our own apps to the Apple App Store.

Who owns the source code?

You do. On completion you receive the full source code, store accounts are in your name, and all API keys belong to your accounts.

How long does an AI-powered app take?

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.

Tell us what you want to improve

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.

  • Free 30-minute consultation call
  • No sales pressure, no long forms
  • We tell you if a simpler, non-AI fix will do
2. What do you need?
3. Where is your business?

Submitting opens WhatsApp with your answers so you can send them to our team.

Related solutions

Most projects combine two or three of these.