SYS/03 Brix Edge
Intelligence that works offline.
An on-device AI stack for places the cloud does not reach. Training and inference at the edge, built for integrators and hardware partners.
Cloud AI assumes a connection. Real sites disagree.
The places most worth monitoring are the places the network forgot: paddocks, pits, coastlines, orbit. Brix Edge is the AI stack we built for our own products so intelligence could live on the asset itself, and it is opening to partners.
The stack, in three layers.
Everything Maisonate and Brix Watch run on. Untrained on arrival, fluent in its site within weeks.
On-device inference
Models sized for embedded hardware, answering locally in milliseconds with no round trip.
On-device learning
The model adapts to its own site, its own noise floor and its own normal, without shipping raw data anywhere.
Fleet sync
When a link appears, devices exchange model improvements and telemetry summaries. Raw data stays home.
Built for the people who build.
Developers
Build against a stack that assumes the network is down, because on real sites it usually is.
Integrators
Ship monitoring and control into places cloud vendors will not quote: farms, mines, marine, remote plant.
Hardware partners
Put a reasoning layer on your sensors and controllers without rebuilding your firmware team.
Early access register.
SDK previews, reference hardware and direct access to the team as the stack opens up.
Partnership enquiries: mark@fitbrix.com