/0.5 / Embedded
Intelligence where the network isn't.
Some environments don't have the cloud, the bandwidth, or the permission to phone home. Tactical edges. Sensor networks. Classified enclaves. We build the models and runtimes that run there.
Our embedded deliverables are quantized, containerized, and tested on the specific hardware and thermal envelope you'll deploy on. No cloud dependencies. Real-time inference on the device, under the constraints that actually exist in the field.
We design disconnected-first. Local logging, encrypted sync when a link appears, graceful degradation when it disappears. The operator never has to explain what 'offline mode' means to the device. The device already assumed that was the default.
What we build
- —Quantized model packages for NVIDIA Jetson, Coral, and ARM targets.
- —On-device pipelines with local logging and encrypted sync.
- —Disconnected-first UX for operators who can't assume connectivity.
- —Thermal- and power-aware inference scheduling.