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Work and test results we measured ourselves

This company is still young, so the list below is short. Every entry is labelled as an internal test, a client pilot, or a system in production, so there is no room for misreading it.

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Internal testOur own lab · parts from a real line

Detecting sink marks and flash on injection-moulded plastic parts

Dark, glossy parts — the condition that makes vision systems fail most often — so we designed the LED bar lighting and the camera angle before training any model.

Jetson Orin Nano Super · YOLO custom · TensorRTEvidence: EV-2026-005Read the detail
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Internal testMachine manuals mixing Thai and English

Asking 4,200 pages of manuals questions the technicians wrote themselves

The 120 test questions came from the maintenance technicians, not from questions we picked because we could answer them. The documents include both digital files and skewed scans.

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Left the network
RTX 4090 · llama.cpp · PaddleOCREvidence: EV-2026-006Read the detail
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Internal testA system we're building and testing ourselves · still has an unsolved problem

Tracking livestock growth with a home-built stereo camera, instead of one fixed scale

Two CCTV cameras plus a Raspberry Pi 5, calibrated into a stereo pair as a cheaper alternative to a LiDAR camera. It photographs animals on a scale to convert into volume and weight — but there's an unsolved statistics problem: a single fixed scale only captures 100-200 animals a day out of a pen holding 5,000-10,000, which is too small a sample by statistical standards.

2 CCTV cameras + Raspberry Pi 5
DIY hardware standing in for a single LiDAR camera
Raspberry Pi 5 · Stereo camera (DIY calibration) · YOLOv12 · ESP32 sensorsEvidence: EV-2026-004Read the detail

The next work slot is still empty

We are collecting test results to publish. A case can only go public once the client approves it. In the meantime, talk to us directly — we can walk you through the results right away.

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