Computer-vision and decision-support systems engineered for the plant floor and the factory yard. We build AI that operates — not AI that demos. Real-time, evidence-backed, auditable.
Every weighbridge in a sugar yard, every load swing on a milling tandem, every shift handover on a control room desk — produces data that goes unwatched. We started the AI segment to do something with it. Real-time detection, real evidence, real escalation paths into the systems plant teams already use.
Our approach is operator-first: every alert is paired with video evidence, every decision has an audit trail, every model is calibrated on data from the actual plant. We don’t just deploy AI — we’re accountable for what it catches and what it misses.
Computer-vision augmentation for sugar mill weighbridges. Detects malpractice in real time, captures video evidence, integrates with existing weighment software.
Catches double-gross transactions, vehicle positioning errors, human tampering, foreign material addition, and vehicle-type mismatches — from cameras you already have, integrated with the weighment software you already use.
The AI segment is purpose-built around process-industry problems we’ve seen first-hand. Each future product follows the same template: real plant data, real ROI, real audit trail.
Vision-based moisture and contamination estimation on bagasse conveyors — before it hits the boiler.
Predictive maintenance on centrifugal machines using vibration signatures and historic failure data.
CV-based estimation of cane bulk loading on mill carriers to feed forward into milling tandem speed control.
4-week MVP at one or two weighbridges. Bring your existing cameras. We bring the model, the alert pipeline, the evidence storage, and the integration.