AI · Mobile

AI-Powered Mobile Apps

Android and cross-platform apps with integrated LLM features — conversational chatbots, image understanding, voice interaction and smart recommendations — built for real users rather than demos.

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StackOpenAI · Gemini · Flutter · Kotlin
PlatformsAndroid & iOS
TypeAI product development
RoleAI + mobile engineering

The problem

Clients wanted genuine AI capabilities without the fragility that comes from calling a model directly from UI code. AI calls fail, latency varies, and costs need watching.

What we built

  • All model access wrapped behind a single AI service seam that owns prompts, retries, caching and fallbacks.
  • Streaming responses so users see progress immediately.
  • Graceful non-AI fallbacks so apps stay usable when the model is unavailable.
  • On-device classification for cheap tasks, cloud models only where needed — cutting cost and latency.
  • Instrumentation of the AI path: success rate, latency and fallback frequency.

Outcome

AI features that behave predictably in production — responsive under load, resilient to outages and cost-controlled through hybrid routing.

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