EAIGLE Secures Growth Funding from Noro-Moseley Partners and In Revenue Capital to Scale AI-Native Gate & Yard Automation

2026-06-23 · Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Internet of Things (IoT) & Connected Devices · Depth: Fundamental Awareness, short

Summary

EAIGLE, a leader in AI-native gate and yard automation, announced on June 23, 2026, it secured growth funding led by Noro-Moseley Partners, with In Revenue Capital and Boreal Ventures participating. This investment will accelerate go-to-market expansion and advance EAIGLE's proprietary automated logistics technology, following over 350% year-over-year revenue growth with Fortune 500 customers. EAIGLE's flagship products, AVAC™ and YardSight™, employ computer vision to analyze camera feeds, identifying truck and trailer details at gates and across yards. These solutions automate real-time data capture, eliminating manual workflows. Benefits include decreasing gate dwell time to under 30 seconds, increasing gate throughput by 5x, reducing theft, fraud, and detention fees, and achieving an ROI of 6 months or less with annual savings of \$500,000. The company recently launched YardSight Mobile™ for enhanced real-time yard visibility for shunting trucks.

Key takeaway

For supply chain and logistics executives evaluating digital transformation initiatives, EAIGLE's growth funding signals a maturing market for AI-native gate and yard automation. You should consider integrating computer vision solutions like AVAC™ and YardSight™ to achieve documented benefits such as reducing gate dwell times to under 30 seconds and realizing annual savings of \$500,000. This technology utilizes existing camera infrastructure, offering a rapid ROI of 6 months or less, making it a compelling investment for optimizing operational efficiency and maintaining a competitive edge.

Key insights

AI-native computer vision automates logistics, significantly reducing operational costs and improving throughput in supply chains.

Principles

• Computer vision can transform manual logistics.
• Existing camera infrastructure can be utilized.
• Real-time visibility is a baseline requirement.

Method

EAIGLE's AVAC™ and YardSight™ platforms analyze camera feeds using computer vision to identify truck/trailer details, automating data capture for gate and yard operations.

In practice

• Implement computer vision for gate access control.
• Automate truck and trailer identification.
• Use real-time data for yard asset mapping.

Topics

• AI-Native Automation
• Computer Vision
• Supply Chain Logistics
• Yard Management
• Gate Automation
• Growth Funding

Best for: Investor, Executive, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.