QVAC Experimental Apps
An early-stage mobile engineering engagement for Tether Data's QVAC, building multiple experimental apps around the QVAC SDK to bring local, on-device AI to phones, with no cloud in between.
- Client
- Tether Data
- Service
- Mobile Application Development for On-Device AI
- Product
- QVAC
- Engagement
- Completed (early-stage)
The challenge
Turn an emerging on-device AI SDK into working mobile applications, within the memory, battery and performance limits of a phone, while the platform was still taking shape.
What we built
- Multiple mobile applications built around the existing QVAC SDK
- SDK integration layer connecting the apps to on-device models, with all inference running locally on the phone
- Mobile interfaces and user flows designed around local AI, working fully offline with no cloud dependency
- Experimental versions of each app, delivered to Tether Data for hands-on testing on real devices
The outcome
Delivered experimental versions of multiple mobile apps that put the QVAC SDK to work on real devices during the platform's early stage.
