AXIFORGE SYSTEMS LTD · SENSOR & DATA RESEARCH
Axiforge Systems collects first-person perspective data from live production environments and designs the physical hardware that captures it — proprietary sensors, edge nodes, and embedded microcontrollers engineered entirely in-house.
The raw and annotated datasets feed directly into the Axiforge neural control system — closing the loop between physical deployment and model improvement.
Axiforge Systems captures production data from the perspective of the worker and the machine — head-mounted cameras recording every action, decision, and motion on the factory floor. That footage becomes both raw training data and fully annotated datasets that teach the neural network how skilled humans operate in real production environments.
Continuous video and sensor streams captured from head-mounted devices worn by workers during live production. The footage records every hand movement, tool interaction, and spatial decision — unedited and unfiltered. This unprocessed stream is the ground truth the neural network is ultimately trained to replicate and exceed.
The egocentric perspective is deliberate — it captures exactly the visual field the robot will need to replicate. Head-mounted hardware records RGB, depth, and inertial data simultaneously, giving the neural network a multimodal view of every skilled operation performed on the production floor.
Raw footage is processed into structured annotated datasets — every action labelled, every object identified, every motion segmented. Annotations encode the intent behind each movement, not just its geometry. This structured knowledge is what transforms captured behaviour into machine-learnable instruction for the neural control system.
As the Axiforge Group deploys more production cells, Systems feeds new raw and annotated data back into the training pipeline — creating a continuous improvement loop. Each live deployment generates new edge cases that sharpen the model. The network becomes more capable with every factory the group operates.
Every sensor, edge node, and microcontroller used in Axiforge deployments is designed by the Systems division. No off-the-shelf modules. No third-party sensor platforms. The hardware is engineered around the specific data requirements of the neural network — guaranteeing that every captured signal is exactly what the model needs to learn from.
Custom optical and multi-spectral sensor modules designed for factory and robotic deployment environments. Every sensor is specified to the exact resolution, frame rate, and spectral range required by the neural network perception module — not adapted from general-purpose components, but engineered from the ground up for this application.
Proprietary microcontroller designs for real-time sensor acquisition, signal conditioning, and low-level actuator control. The firmware is co-developed with the neural control system — ensuring that the hardware execution layer and the AI decision layer share a single, coherent timing model with deterministic latency at every step.
The Sensor SA-1 is the Axiforge group's proprietary edge compute node — integrating sensor acquisition, local inference, and data logging in a single hardened unit. It runs the perception module of the neural control system on-device, feeding structured scene data to the planning layer without any cloud dependency or external compute.
Hardware and software are designed together — the sensor specifications, firmware timing, and neural network input requirements are co-engineered from day one. The result is a closed loop: better hardware captures better data, better data trains a better network, a better network demands better hardware.
Discuss a project →Whether you're an investor, research partner, or press — we'd like to hear from you.
INVESTOR RELATIONS →