The AI Process Unit puts inference next to the vessel, turning continuous process state into a local control decision before biology drifts out of range.
The AI Process Unit receives the continuous sensor stream, runs predictive models against it, and outputs control signals to the reactor’s actuators in real time.
It holds the process locally and reports upward.
Between a metabolic event and a response, cloud control inserts a network path: vessel to gateway, gateway to datacenter, inference, and back.
A regulated production process cannot place its control loop behind a connection it does not own. Local inference keeps the decision inside the plant.
The unit reports upward and synchronizes improvements when connected, but the reactor remains observable and controllable whether or not anyone is watching.
Edge inferenceSub-second continuous inference with no cloud in the control path.Offline autonomyFull control operation without network connectivity. The connection improves the models; it does not run the process.Cross-batch learningModel improvements sync to the platform and propagate across the fleet without moving customer process data.Bioreactor agnosticDeploys natively on AUXO V or retrofits onto third-party hardware through standard interfaces.Qualified deploymentBuilt for qualified environments with audit trail and validation documentation handled at the platform layerAccelerated computeDedicated edge hardware for continuous on-vessel inference.PartnerNvidia, Siemens
