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GateIn AI

GateIn AI provides an AI‑driven container tracking platform that uses high‑resolution OCR and transformer‑based vision models on edge devices to automatically capture gate‑in, gate‑out, and yard movements. The solution delivers near‑real‑time, ~99 % accurate inventory updates and integrates with existing terminal operating systems via standard APIs, reducing manual entry and labor costs for small‑to‑medium ports.

Seattle, United StatesFounded 2025450+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Port and terminal operators rely on manual data entry and legacy barcode scanners to record container movements, leading to frequent human errors, slow processing times, and inconsistent inventory visibility across the yard.

Solution

GateIn AI delivers an AI‑driven container tracking platform that automates gate‑in, gate‑out, and yard‑wide movements using high‑resolution optical character recognition (OCR) combined with transformer‑based vision models. The system runs on edge compute devices installed at entry points, enabling real‑time identification of container IDs without requiring constant connectivity to a central server. Processed data are stored locally for rapid access and can be synchronized with existing terminal management systems, providing operators with near‑instant, 99 % accurate inventory updates while reducing labor costs. The solution is designed for quick deployment, making it suitable for smaller ports and terminals that need a cost‑effective upgrade path.

Target Audience

The primary customers are port authorities, terminal operators, and logistics firms managing small to medium‑size container yards that need accurate, automated tracking without extensive infrastructure upgrades.

Features

  • High‑resolution OCR engine tuned for ISO container markings, extracting IDs in sub‑second latency
  • Transformer‑based vision model that validates OCR output and corrects misreads, achieving ~99 % accuracy
  • Edge compute hardware that processes video streams on‑site, eliminating dependence on cloud bandwidth and ensuring low‑latency operation
  • Local data retention with optional secure sync to enterprise TOS or ERP systems via standard APIs (REST/JSON)
  • Plug‑and‑play installation kit that can be mounted at gate‑in/out points within a few hours, requiring minimal site preparation
  • Dashboard UI displaying real‑time container status, dwell times, and exception alerts for yard managers
  • Cost‑per‑container savings of $1.8+ by reducing manual entry and rework, and processing time under 2 minutes per container
This profile is AI-generated and may contain inaccuracies.