GateIn AI (gatein.ai)

GateIn AI (gatein.ai) — Multi-camera container capture corpus with paired OCR and damage labels: per-transaction images of every container face, ISO 6346 code reads, external and internal damage assessments with geo-tagged hotspot coordinates and structured severity scores, gate in/out event records with storage duration and exit status, plus derived detention/demurrage and yard-flow series.. Very early stage (4 staff, Seattle) — small absolute volume today, but the data is uniquely hard to acquire: real-world multi-angle container imagery with operator-verified damage severity labels and pai…

GateIn AI (gatein.ai) offers (Alternative, Geospatial, Supply Chain) — Each gate transaction yields a multi-angle image set (typically 4-8 frames) plus an event row. On-site sample data shows 2,000+ event rows from one yard across ~6 weeks (Sep-Nov 2025) with storage durations up to ~93 days; a mid-size depot at 1,000 transactions/day would generate roughly 1.5M labelled images and 365K event rows per year, before internal-inspection imagery..

Training computer-vision damage-detection models on real port-condition imagery (all-weather, edge-captured, varied lighting and soiling), OCR/ANPR robustness training on dirty, dented and angled container codes, container condition grading and dispute-resolution models, depot inventory-accuracy models, demurrage and dwell prediction, chassis and rail-OCR intermodal tracking, yard throughput forecasting.

The data is with 1 years of history.

Coverage spans US, Europe, Other; Application Software; alternative, geospatial, supply_chain; equities.