On-device card vision
Track, extract and classify every card in frame, in real time, on the device holding the camera.
soft body. hard tech.
Edge-native computer vision and market data for trading card games. Our models run on the device in front of you โ no cloud round-trip.
soft body.hard tech.
Small team, deep specialism.
We came out of automotive AI โ cameras that have to work on every frame, in bad light, on a tiny power budget, without phoning home. We pointed that discipline at trading cards.
Every card, on every device, recognised instantly and priced honestly โ without sending a picture to somebody else's cloud.
Four things, all pointed at the same problem.
Track, extract and classify every card in frame, in real time, on the device holding the camera.
Built for mobile silicon and low-cost SoCs, not just a workstation GPU.
We generate the training set rather than annotate it.
Pricing and history wired to the same recogniser that reads the card.
A recognition engine, and the market data that sits on top of it.
Deep embedded machine-learning experience across the team.
CTO ยท Engine
Builds the engine โ the runtime, the models, and everything that has to survive contact with real hardware.
App Design
Designs the apps that sit on the engine, and the way people actually use them.
Business
Partnerships, customers, and getting the thing in front of the people who need it.
The short version is on this page. We walk through the rest โ live, on real cards โ in a demo.