Faster path to a working model
First useful system in weeks, not a year-long science project. Groundline customers typically see a verified dataset and a v1 model in about four weeks.
We are hired to move an operating number: quality, cost, speed, or risk — not to install AI for its own sake.
First useful system in weeks, not a year-long science project. Groundline customers typically see a verified dataset and a v1 model in about four weeks.
Active learning and model pre-labeling cut human review. You are not paying a competitor to draw every box. Cost per label typically drops sharply by cycle three because people only see the uncertain cases.
IAA scores, before/after reports, and exportable labels. Useful when a buyer, insurer, or your own customer asks how you check quality — without an enterprise audit department.
Guidelines and review UIs capture how your best people decide. New staff can follow the system instead of shadowing for months.
Verified labels are yours to export (COCO, YOLO, CSV). Model weights and architecture stay with us. You are not trapped in our files — and we do not give away the models that make annotation cheap.
We fit around a small plant, a workshop, a food line, or a lean ops team — in any country. Remote-first; on-site when the line requires it.
Whether you need a first working model, a cleaner dataset, or software your operators can run — if you are an SME and you are not sure what you need yet, we are happy to talk. Any country.
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