AI-Native Mobile
The next generation of mobile apps isn’t just connected — it’s intelligent. We build mobile applications with AI at the core: on-device machine learning for instant responses, camera-based recognition, predictive features that anticipate user needs, and smart notifications that learn behaviour patterns. Cross-platform or native, with AI models optimised for mobile hardware.
What you get
Real examples
On-device visual inspection
Mobile apps using on-device computer vision for quality inspection, defect detection, or document scanning — works offline in environments with limited connectivity.
Intelligent field service
Mobile apps for field teams that use photo recognition to identify equipment, suggest procedures, and pre-fill reports — reducing manual data entry.
Common questions
Can AI run on the device without internet?
Yes. We deploy optimised ML models directly on-device using Core ML (iOS) and TensorFlow Lite (Android). The AI works offline with sub-second inference.
What kind of AI features work on mobile?
Image recognition, document scanning, voice commands, predictive text, behaviour-based recommendations, anomaly detection, and real-time sensor analysis.
Cross-platform or native for AI apps?
Depends on the AI requirements. Simple AI features work well cross-platform (React Native). Heavy on-device ML or camera processing often benefits from native Swift/Kotlin.
How do you handle model updates?
We build over-the-air model update pipelines. New model versions deploy without app store updates, with A/B testing to validate improvements.
What about battery and performance?
We optimise models for mobile hardware — quantisation, pruning, and efficient architectures. AI features add minimal battery impact.
Ready to get started?
Tell us about your project and we'll tell you honestly how we can help.
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