Cloud Dependency
Sending production data away from the line can introduce reliance on network availability and external infrastructure.
Bring real-time machine vision and robotics processing directly to the factory
floor. AIxCore combines edge AI computing, isolated industrial power,
and integrated Ethernet connectivity in one factory-ready unit.
Running an AI model is only one part of industrial deployment.
The processing unit must also connect cameras, sensors, PLCs, robots, and production systems while operating reliably within the factory environment.
AIxCore is built for that complete role. It processes inspection data where it is generated and connects AI decisions with the equipment that must act on them.
A production AI system cannot depend on computing power alone.
Sending production data away from the line can introduce reliance on network availability and external infrastructure.
Cameras, sensors, PLCs, and robots often require additional networking equipment and integration work.
Factory power conditions are different from controlled office and data-centre environments.
Machine vision and robotics applications must process information in time for the production system to respond.
Separate computing, networking, and power components increase the number of devices that must be installed and integrated.
AIxCore processes machine vision and robotics workloads on-site, close to the cameras, sensors, and production equipment generating the data.
Cloud connectivity can still be supported when the application requires it, but production processing does not need to depend on the cloud.
AIxCore uses NVIDIA Jetson AGX Orin to run industrial AI, machine vision, and robotics workloads at the edge.
Its electrically isolated architecture supports 12V and 24V power rails for integration into industrial automation environments.
An integrated five-port industrial Ethernet switch connects the processing unit with cameras, sensors, PLCs, robots, and other networked equipment.
AIxCore combines processing, power, and connectivity in a unit designed for industrial deployment and deterministic performance.
Cameras and sensors collect images and production data.
AIxCore runs the machine vision or robotics workload on-site.
The deployed model evaluates the incoming data according to the application.
Results are shared with PLCs, robots, sorting systems, MES, or inspection software.
Connected equipment can respond according to the configured automation workflow.
AIxCore supports multiple industrial applications from a single edge computing unit.
Process images from industrial cameras for inline inspection and defect detection.
Run AI and perception workloads close to the robotic application.
Connect inspection decisions with rejection or sorting equipment.
Process data from cameras and sensors before sending relevant results to higher-level systems.
Give machine builders and system integrators an industrial edge AI unit that can be incorporated into their equipment architecture.
For many manufacturers, on-premise processing is an operational requirement rather than a preference.
AIxCore allows inspection and automation workloads to run locally, supporting:
Use AIxCore to introduce or expand AI processing within an existing production, inspection, or automation environment.
Talk to an ExpertAdd industrial AI processing to your machinery without developing the complete edge-computing architecture internally.
Explore PartnershipAIxCore brings AI processing, industrial connectivity, and on-premise deployment together at the production edge.
Tell us about your cameras, sensors, AI workload, line equipment, and integration requirements.
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