Computer vision
Detection, tracking, recognition and OCR, running on your hardware.
A working prototype on your own footage in 1 to 3 days. Getting accuracy where a miss is expensive, and deploying to real hardware, runs weeks to months.
A vision pipeline sized to the hardware you have, thresholds set where a miss is expensive, and a human review queue for everything the model is not sure about.
Staff manually review images or footage (for damage, compliance, hazards or identification) and it does not scale with volume.
A vision pipeline sized to the hardware you have, thresholds set where a miss is expensive, and a human review queue for everything the model is not sure about.
The routine cases handled automatically, the ambiguous ones escalated, and a measured error rate rather than a vendor claim.
Detection, tracking, recognition and OCR, running on your hardware.
A working prototype on your own footage in 1 to 3 days. Getting accuracy where a miss is expensive, and deploying to real hardware, runs weeks to months.
Connecting the systems you already pay for, and removing the retyping.
1 to 5 days for most automations. A system that has to reach into several other systems, some without a usable API, runs weeks.
Scheduling, job sheets, photo evidence, stock, invoicing, and a site that turns a search into a phone call.
Last reviewed · Site changelog