WHY WE EXIST
Visibility & verification for the future of freight.
The moments that matter most. Pickup and delivery are where a shipment is made or broken. Proof of delivery, detention, on-time performance, payment release, and claims all resolve to a single event: the truck rolling through the gate.
Largely undocumented. 95% of facilities have no digitized record of their gate events, no closed-loop verification, and no real-time carrier vetting.
System of record. Shippers, receivers, freight brokers, carriers, factors, and insurers all depend on that critical event. Without a direct connection to it, each is left trusting the driver, which is the gap exploited by cargo thieves.
GPS can't deliver. Tracking access requires the driver’s permission, the signal can be turned off or spoofed, and it cannot say which truck is at which gate. An accurate feed attached to the wrong truck still reads as a clean delivery.
Physical proof. Trapezoid is physically there, capturing the moment on behalf of the whole industry. Only one camera sensor at the gate: we read the carrier, truck, and trailer markings from 4K imagery and resolve them against a world model of every vehicle in North America, returning a verified DOT number, MC number, and VIN with the photograph attached, delivered by API before the truck has cleared the gate.
Operating today with some of the biggest names in freight.
The future. As agents begin booking loads, dispatching trucks, and releasing payment, each one needs proof of the physical world it cannot generate for itself. Trapezoid serves this critical, structured data for cargo security, shipment visibility, vehicle safety, carrier on-time performance, facility dwell logs, and yard inventory.
THE TEAM
Built by Industry Experts

Jonathan Cook
Founder & CEO
12 years in logistics technology across Boeing, Zonar, Convoy, and Flexport. Expert in GPS tracking, data systems, and computer vision for transportation. Built Trapezoid from the insight that facility cameras could be turned into the freight industry's identity layer.
LinkedIn Profile
Dr. Mayuree Binjolkar
Head of Machine Learning
Led ML teams at several early-stage startups. PhD in Computer Vision for Intelligent Transportation Systems from the University of Washington. M.S. Computer Science. B.S. Engineering from the Israel Institute of Technology (Technion). Designed Trapezoid's vehicle identification and text extraction models.
LinkedIn ProfileWorking With Operators and Partners
From distribution centers to cross-dock facilities, the PhotoFencing™ network is growing across North America.






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