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
Flutter app
Secure backend
AI service
Vision / speech models
Storage + database
Technology
- Flutter / Dart
- Riverpod
- Freezed
- Appwrite
- Python / FastAPI
- Gemini API
- F5-TTS
Related work
Process
- 01
Understand
Understand the business problem and the outcome you need.
- 02
Architect
Choose the AI architecture, integrations and technical approach.
- 03
Prototype
Validate the critical workflow before building around it.
- 04
Build
Develop the product in milestones you can review.
- 05
Validate
Test quality, performance, reliability and edge cases.
- 06
Launch
Deploy the production system and monitor it.
- 07
Improve
Optimise using real usage and feedback.
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.