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Perception
- Scene digitalisation
Map the physical site into a live digital model.
- Safety alerts
Detect risks in real time and warn before they escalate.


Practising Industrial Intelligence
Perceive · Decide · Act · Interact
AxioEngine|「法则」系统
Built on NVIDIA Jetson Orin
Rebuilding industrial control around AI: machines that perceive, decide and act — and keep evolving as industrial agents.

Axio-App

Intelligent software and control systems for specialised manufacturing equipment, built on the AxioEngine — giving machines an integrated flow from perception and decision to execution.
Intelligent software and control systems for specialised manufacturing equipment, built on the AxioEngine — giving machines an integrated flow from perception and decision to execution.
axio-destack
Guided by a 3D depth camera, pallet cartons are depalletised without pre-programming or taught points. Compatible with most carton types and sizes — no re-registration or retraining for new products, with changeover in about 3 minutes.


axio-sorting
Vision- and AI-guided classification and pose recognition of infeed on the conveyor, placing items into the designated container by rule. Our own models support few-shot and even zero-shot registration, and ease the difficulty caused by stacked packages.


axio-mixedstack
Guided by a 3D depth camera, incoming carton dimensions and specifications are recognised, and an AI model generates mixed-palletising patterns in real time to drive the robot automatically. No programming and no taught points — new carton types register themselves, with no downtime when mixing them.


Sactory
Start manufacturing with a single computer


Sactory Digital Manufacturing Workstation
Stand up a validation environment for the workstation and verify task feasibility first.
Generate varied randomised production data to test reliability and generalisation.
Hardware-in-the-loop simulation with the same data flow as the real cell — deploy on site in one click.
Integrated with the on-device software to close the loop on anomaly data and keep improving.