
EAIGLE just closed a growth funding round on the back of 350% year-over-year growth, driven by an AI platform that leans on cameras yards and gates already have installed to push gate dwell times below 30 seconds, while reducing detention, claims and labor costs. Founder and CEO Amir Hoss joined FreightWaves from one of the fully automated gates his company operates, walking through how EAIGLE got there and what the technology replaces on the ground.
Hoss said EAIGLE didn’t start as a solution looking for a market. Instead, the company grew out of a specific ask from a major retail customer.
“The whole company started from an interaction with one of the largest global retailers that brought up a problem to our team as an expert for automation,” Hoss said. That inbound problem shaped everything that followed. “That was our entry. We first got to know about the problem and then tried to figure out the solution, and here we are. I’m standing in a fully automated gate and yard that operates unmanned and paperless.”
At its core, Hoss described EAIGLE as an automation company whose solutions run on computer vision layered over infrastructure customers already have.
“The automations are powered by computer vision, which is leveraging the existing security camera system that our customers have at the gate, in the yard and in the dock to automate the whole not just check-in and checkout process but also the shipping and receiving process,” Hoss said.
Over five years of deployments across North America, that has meant driving toward one consistent outcome: making the transactions fully unmanned, paperless, and real-time, all the time, from the gate to the dock and vice versa.
Hoss framed the problem EAIGLE solves around what he called the TLCC framework: time, labor, claims, and compliance. On time, he said gate transactions that used to take between seven and a half and 18 minutes, CTPAT or not, now run under 30 seconds and rarely above a minute, saving carriers and shippers hundreds of hours of driving time.
On security, Hoss tied the platform directly to a rise in trailer theft, including a case out of Texas discussed earlier in the broadcast. “We not only make it automated and unmanned, but we make it more secure because all the validation of the BOL, the PO, the paperwork happens on the spot in real time,” he said. “Until those validations happen, those trailers cannot get accepted, and the custody transfer cannot happen from the carrier from the shipper to the receiver.”
On claims, Hoss said the same validation covers on-time and in-full performance, temperature-controlled loads, and physical damage to trailers and trucks.
On compliance, it captures whatever a given lane requires, whether that’s California-specific rules or CTPAT documentation for cross-border freight.
That philosophy splits across EAIGLE’s two core products. Automated Vehicle Access Control, or AVAC, handles the gate itself, capturing that ground-level reality and automating check-in and checkout before passing validated data into the yard management system. YardSight picks up from there, addressing what Hoss called the industry’s real bottleneck: yard management systems that only update when a human tells them to.
“YMS updates are at the mercy of either shunt trucks, the shipping receiving office, or the dispatch office,” Hoss said. By pulling from cameras on light poles, exterior walls or mounted on shunt trucks, EAIGLE keeps the yard scanned and the YMS updated continuously. “Real time matters,” Hoss said, noting some yards need refreshed data every four minutes to keep pace with high-volume environments like automotive manufacturing, where parts have to hit the dock within minutes of being needed.
That same validation layer doubles as fraud prevention. Hoss walked through how EAIGLE has intercepted attempted trailer theft at its highest-risk distribution centers, with tactics including fake bills of lading, real BOLs stolen and presented at the wrong facility, and drivers recruited through online marketplace postings without realizing they were participating in a theft.
Cross-referencing the BOL, purchase order, appointment data and a carrier’s USDOT number in real time, according to Hoss, lets the system flag mismatches and weigh a carrier’s prior history before a trailer is ever accepted.
EAIGLE’s infrastructure-agnostic approach, Hoss said, is what makes the platform workable for inland facilities that could never justify a heavier build. “The technologies agnostic to infrastructure, and infrastructure being the cameras, the kiosk that you see behind me that sometime is needed for driver interaction and sometime is not needed,” he said.
Yards without cameras simply add the same type they’d use elsewhere on site.
“There’s nothing proprietary about the infrastructure. And that’s one of the key advantages when it comes to the inland market.” At the facility where Hoss was standing, roughly 1,100 trucks a day once required two gates, four lanes, and 18 full-time staff across three shifts.
“It’s now fully unmanned,” Hoss said, with the paperwork and signature exchanges that used to accompany shipping and receiving eliminated along with the guard shack itself.
Hoss traced that labor gap back to what guard shacks were built to do.
“I remember five, six years ago when I was interviewing my first security guard that we ever talked to, to build this solution, the first thing he told me is, ‘Look, we don’t validate here, we just log,’” Hoss said. Guards weren’t hired to check paperwork, and validating it often fell outside their job entirely. “When they don’t log, the data is not validated, so it becomes garbage in and garbage out,” he said, noting that dynamic as one of the reasons yard management systems have stayed siloed for 15 to 20 years.
Fixing it, in his view, starts at the gate.
“To figure that out properly, first you have to capture the reality on the ground, and the reality on the ground comes from the cameras, from the scale, from any other automation that you’re doing on the ground physically.”
Asked what the yard looks like further out, Hoss pointed to autonomous vehicles as the next layer on top of the digitization EAIGLE has already built.
“We have customers right now that within months they will be testing acceptance of autonomous truck going into an autonomous yard, and then nobody touched that load and trailer all the way to the loading and unloading process,” Hoss said. Human involvement won’t disappear entirely, he said, but it will shift toward exceptions and edge cases rather than routine checks and logging.
Click here to learn more about EAIGLE.
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