// field_data_capture
Collect data where your AI actually operates.
Site-based data collection brings capture into your real operating environments — warehouses, factories, retail floors, farms, roads, and facilities — with consent, metadata, and QA built in.
// environments
Where we collect.
// 01
Warehouses
Picking, sorting, conveyor, and cluttered-bin environments.
// 02
Factories
Assembly lines, inspection stations, and machine cells.
// 03
Retail
Shelves, checkouts, aisles, and stockrooms.
// 04
Agriculture
Fields, crops, terrain, and harvesting conditions.
// 05
Roads & sites
Roads, construction, utilities, and infrastructure.
// 06
Facilities
Indoor, outdoor, and hazardous operating environments.
// on_site
On-site, end to end.
We plan the capture, coordinate access and consent, run sensor-assisted collection, tag metadata, and QA the output so it arrives training-ready — not just footage on a drive.
site_collection.deliverables
01Site access & consent plan
02Capture spec & equipment setup
03Sensor-assisted collection
04Metadata & environment tagging
05Annotated, certified delivery
// faq
Common questions
Real-world data capture inside your operating environments — warehouses, factories, retail, farms, roads, and facilities — run with consent, metadata, and QA standards.
Yes. We design and execute on-site capture programs across industrial, retail, agricultural, and infrastructure environments.
Every program runs on a documented consent and rights framework with privacy review, reflected in the Model-Ready Data Certificate.
Object tracking, segmentation, keypoints, temporal and action labels, defect labels, scene metadata, and failure categorization on captured site data.
Each qualified dataset ships with a Model-Ready Data Certificate covering rights, privacy, coverage, balance, annotation quality, and readiness.
Book a scoping call or a Data Failure Audit, and we'll design a site collection program around the data your model needs next.