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AI-Powered Mobile App Development

Mobile is where AI meets the camera, the microphone and the moment. We build Flutter apps with AI features and the backends they depend on.

The problem

Shipping API keys in a mobile app, uploading full-size photos and waiting on slow model calls are common mistakes that hurt security and experience.

The approach

Model calls go through a backend you control, images are compressed on device, and the interface is designed for progress, retries and offline states.

What we build

Vision features
Camera capture and image analysis with multimodal models.
Voice features
Speech input and text-to-speech, including regional languages.
Cross-platform apps
Flutter apps for iOS and Android from one codebase.
Mobile backends
FastAPI or Appwrite backends with auth and secure key handling.

Use cases

  • Style and colour analysis from photos
  • Voice interfaces in Gujarati or other regional languages
  • Field apps with AI form filling

Typical architecture

  1. Flutter app

  2. Secure backend

  3. AI service

  4. Vision / speech models

  5. Storage + database

Technology

  • Flutter / Dart
  • Riverpod
  • Freezed
  • Appwrite
  • Python / FastAPI
  • Gemini API
  • F5-TTS

Related work

Process

  1. 01

    Understand

    Understand the business problem and the outcome you need.

  2. 02

    Architect

    Choose the AI architecture, integrations and technical approach.

  3. 03

    Prototype

    Validate the critical workflow before building around it.

  4. 04

    Build

    Develop the product in milestones you can review.

  5. 05

    Validate

    Test quality, performance, reliability and edge cases.

  6. 06

    Launch

    Deploy the production system and monitor it.

  7. 07

    Improve

    Optimise using real usage and feedback.

How we run projects

Questions

Flutter or native?

Flutter for most products that need iOS and Android quickly. Native when you need deep platform features.

Can AI run on the device?

Small models can. Most products use a cloud model through a backend, with on-device work for capture and pre-processing.

Further reading

Tell us what you want to build.

Send a short brief. We'll reply personally with questions or a suggested next step — usually a technical discovery call.