Infinix AI Assistant
On-device conversational assistant experience
The challenge
Assistant experiences built for flagship devices and fast networks feel slow and expensive on the mid-range handsets most East African users actually carry.
A conversational AI assistant experience for mobile users — natural language help, voice input and device-aware answers with low latency on mid-range hardware.
Our role: AI engineering, mobile integration, conversation design
Architecture decisions
Hybrid on-device and cloud routing
Short, common intents resolve locally; only complex reasoning is sent upstream, cutting both latency and data cost.
Grounded answers with RAG
Responses are retrieved from a curated knowledge base before generation, so the assistant explains rather than improvises.
Voice-first on low bandwidth
Speech capture is compressed and streamed, keeping voice usable on 3G-class connections.
Bilingual by design
The assistant understands and replies in English and Kiswahili, matching how users actually speak.
System architecture
- 01ClientsKotlin / React Native assistant surface with voice input
- 02AILLM orchestration, retrieval layer, intent router
- 03DomainConversation state, safety filters, fallbacks
- 04DataVector knowledge base plus session history
- 05OpsLatency, cost and quality monitoring per intent
Results
Users get fast, bilingual assistance on everyday handsets, with cloud reasoning reserved for the questions that genuinely need it.
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Our Dar es Salaam engineering team builds web platforms, mobile apps, AI features and database systems for clients across Tanzania, Africa and internationally.