Offline‑First AI Tutor Kit
Low-bandwidth and local server deployment patterns for offline-first learning support.
Built for the Global South
Standard AI tools fail in areas with intermittent power or high data costs. Our kit focuses on edge-computing and local caching to ensure learning never stops.
Edge Model Deployment
Deploying quantized LLMs on local hardware to reduce dependency on cloud connectivity.
Offline Sync Patterns
Intelligent caching and background synchronization when connectivity is restored.
Low-Bandwidth Optimization
Highly optimized data protocols for text-only interaction on 2G/3G networks.
Technical Architecture
Local API Gateway
A lightweight proxy serving as the single entry point for all classroom devices.
Prompt Caching Engine
Reduces redundant API calls by storing common educational queries locally.
Privacy Filter
Automatic PII scrubbing before any data leaves the local network for cloud verification.
Tutor Kit FAQ
Does it require any internet at all?
The kit is designed to function 100% offline for daily classroom use, with periodic syncs for updates and reporting when connectivity is available.
What hardware is required?
It runs on standard edge devices, including low-cost local servers or high-end laptops serving as a local hub.