AI Cuts Gate Dwell to 30 Seconds as Eagle Grows 350%

AI gate automation cut dwell times to under 30 seconds while EAIGLE posted 350% year-over-year growth. CEO Amir Hoss explains how the company uses existing security cameras and computer vision to automate gate, yard and dock workflows. On site at a live facility, Hoss breaks down how EAIGLE went from a customer problem to a fully automated, paperless gate and yard operation. He also explains why the next growth phase matters for carriers, shippers and warehouse operators trying to move trucks through the yard faster. #GateAutomation #YardManagement #SupplyChainAI

EAIGLE, an automation company focused on gate-to-dock logistics, has closed a growth funding round on the heels of 350% year-over-year revenue growth, CEO and founder Amir Hoss said in an interview with FreightWaves. The company’s computer vision platform reduces gate dwell times that previously ranged from 7.5 to 18 minutes down to under 30 seconds — and sometimes under one minute — by tapping into camera infrastructure that facilities already own.

The technology matters to carriers, brokers, and shippers because gate congestion and yard opacity have long been among the most stubborn inefficiencies in distribution operations. EAIGLE’s system automates the full check-in and check-out process, validates bills of lading, purchase orders, appointments, and USDOT numbers in real time, and feeds clean data directly into yard management, warehouse management, and transportation management systems via APIs.

At one active facility where Hoss spoke — a site processing roughly 1,100 trucks per day across two gates and four lanes — EAIGLE replaced 18 full-time staff across three shifts with a fully unmanned, paperless operation. “We didn’t validate here, we just log,” Hoss recalled a security guard telling him five or six years ago, a dynamic he said rendered downstream YMS data unreliable. “It becomes garbage in and garbage out,” he said.

“The bar is really high because you own that responsibility of initiating the high accuracy and complete data capture and validation for the rest of the systems in the supply chain ecosystem of each one of the operational customers.”

EAIGLE markets two products. Automated Vehicle Access Control (AVAC) handles gate check-in and check-out using camera-based validation. YardSite uses cameras mounted on light poles, exterior walls, and shunt trucks to scan the yard continuously and update the YMS in real time through API connections — with some high-pace manufacturing customers, such as automotive facilities, requiring updates every four minutes or fewer to sustain dock efficiency.

The platform also functions as a theft-deterrent layer. Hoss said EAIGLE stops an average of two to three cargo theft attempts per month at high-theft distribution centers by flagging mismatched or expired BOLs, BOLs issued for a different facility, and carriers with prior theft history visible through USDOT data. He cited rising empty-trailer theft as a growing concern, noting that fake or outdated paperwork is the most common vector for unauthorized loads leaving a yard.

Looking ahead, Hoss said the company has a product announcement coming within two weeks and is fielding requests for faster expansion across North America and internationally. Within months, he added, certain EAIGLE customers will begin testing autonomous truck acceptance into fully automated yards — a step toward an operation where, in his words, “neither the truck nor the shunt truck nor the yard itself is operated” by humans, with people handling only exceptions and edge cases. EAIGLE has deployed its autonomous gate and yard platform across facilities in the U.S., Canada, and Europe.

• EAIGLE’s AI platform cuts gate dwell from up to 18 minutes to under 30 seconds using existing camera infrastructure, replacing up to 18 full-time gate staff per facility.
• The company posted 350% year-over-year growth and closed a growth funding round, with international expansion and a product announcement expected within two weeks.
• Real-time BOL, PO, and USDOT validation stops an average of 2–3 cargo theft attempts per month at high-theft distribution centers.

This Summary is generated thanks to a transcription of the interview, for the full interview please enjoy the video above.