Plug in real-time Vision AI and your robot arm grasps correctly on the first try: no pre-sorting, no fixed jigs, no cloud dependency, no months-long integration.
above 97.5% accuracy · 30 ms latency · 30fps live
Most arms fail when parts arrive out-of-position or mixed with others. Ours runs real-time object intelligence across cluttered, unstructured environments, classifying, locating, and orienting every object before the arm moves.
Sub-millimetre stereo depth means your arm computes the exact grasp on the first attempt, no calibration jigs, no manual positioning, no wasted cycle time.
Six deployments across manufacturing, logistics, and assembly, captured on production hardware, not a demo rig.
Flexiv arm identifies, poses, and picks randomly oriented gear components from a mixed bin at production speed.
Sub-millimetre anomaly detection on PCBs and machined parts. Flags defects before they reach assembly.
6DoF pose loop guides the arm through multi-step assemblies with sub-mm placement accuracy.
Six capabilities. One unit. Camera feed to grasp command, entirely onboard, no cloud round-trip.
Real-time multi-class detection at 60fps. Identifies and classifies every object in the workspace with bounding boxes and confidence scores.
Sub-millimetre stereo depth maps in real time. Enables grasps and placements that work in production — not just in the lab.
Full 6-degree-of-freedom tracking of objects and end-effectors. Tells the robot not just where an object is — but exactly how it's oriented.
All models run onboard. No cloud, no latency penalty, no data egress. Optimised for NVIDIA Jetson and Hailo. Works fully air-gapped.
Native ROS2 nodes out of the box. Publishes object poses, depth clouds, and detection streams directly to your robot's topic graph.
Mounts on Flexiv, UR, Fanuc, KUKA and more. Full SDK. From unboxing to running inference on your arm: measured in hours, not months.
Most robots are blind. They follow fixed coordinates regardless of what's in front of them. We close the loop: camera feed in, pick command out, in under 5ms.
Stereo cameras and structured light build a continuous 3D scene model — capturing geometry, depth, texture, and reflectance in real time. Not just a colour pattern. Full spatial understanding.
Object Intelligence classifies every item — known or unknown — without prior training. The system analyses an object's shape, orientation, and grasp affordances within milliseconds, adapting on the fly.
Edge inference computes grasp vectors, pick coordinates, and approach angles — all onboard, no cloud round-trip. Structured outputs ready for your robot's control system in under 5ms.
Structured outputs feed directly into robot control systems via our low-latency API. Pick coordinates, grasp vectors, and object metadata, streamed at 60Hz, no middleware, no mapping layer.
We run the demo on a real robot arm. Bring a part number or just curiosity.
No deck. No SDRs. You talk directly with the engineers.
Typically responds within one business day
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