Intelligence Inside Silicon
Train a vision model on your own images, own that model, and run it on the controller already inside the machine. No cloud at runtime, no extra PC and no computer vision team needed.
Watch the walkthrough
Train it in ModelBench, run it with Visual Detector

BUILDLabel a few images, train a detector on your own classes and export it for the controller.

DEPLOYRuns the model on the machine's own camera feed and hands each result to the PLC.
A proprietary object detection model, architected from scratch to run inside silicon
Not a fine-tuned open model: every layer was designed and trained in-house for the fixed compute of industrial hardware.

Same trained model, compiled for each chip.
Illustrative visualization of InSiSoNet™ output. Ask for a live demo on your own footage and silicon.
— awaiting inference —
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AI accelerators inside controllers
One model architecture, trained on your parts.
Scenes shown in ModelBench

Length, width, height and the shipping label of every parcel on the conveyor.

Every part present and in place, reported to the PLC before the next station.

Missing or wrong components found on each board, with PASS or FAIL per unit.

Fruit and vegetables sorted by defect and size as they pass the camera.
One intelligence layer for industrial physical AI
Bengaluru. NVIDIA Inception member; working with Bosch Rexroth, ctrlX Automation and SFAL K-Tech CoE.