The starting idea
Hands-free visual assistance
Frank began as a smart-glasses concept: a camera, natural questions and spoken answers for everyday visual access.
Join testing // Progress
The idea is proven. The product is being earned.
Idumet is turning a working Android assistant into a faster, safer and more dependable product through measured private testing—while actively developing Frank for iOS as the next platform.
The first proof
Raspberry Pi prototype
A standalone camera, microphone, wake word, cloud intelligence and spoken response proved that the full loop could work. It also exposed the cost, bulk and reliability burden of dedicated hardware.
The decisive pivot
Software first on Android
Moving to a phone removed wires and component cost while adding mature accessibility APIs, connectivity, identity, location and sensors. Raspberry Pi is now historical, not actively supported.
Frank v0
The end-to-end assistant works
The native app listens, captures visual context, reasons, speaks, continues conversations and stores useful memory. Diagnostics identified model response time—not memory or database work—as the main speed bottleneck.
Frank V1 now
Preparing for controlled testing
V1 adds protected server access, request-level tracing, fresh camera capture, structured context and product-data contracts, accessible feedback, guided setup and private Google Play distribution.
Platform expansion
Frank for iOS is in development
Work has begun to bring Frank’s accessible, context-first interaction to iPhone. Android remains the working product in private testing; iOS is an active development track and is not yet available to testers.
// What comes next
Improve what matters in the order it matters.
This is a development sequence, not a public release promise. Each step must pass accessibility, privacy, reliability and safety evidence before the next claim is made.
Android testing and iOS development
Improve speed, reliability, recovery and accessible feedback in the working Android product while building Frank's first iOS experience. iOS is not yet in private testing.
Secure data and Context Snapshot
Work with Chivora on the intended scalable data foundation, then validate location, movement and journey-aware assistance that works from a pocket across platforms.
Offline resilience and wider pilots
Add a deliberately narrower on-device voice, text and context path; polish accessibility; expand controlled pilots only when each platform is ready; and approach later communities with evidence.