Yrix was born from a simple observation: the computer vision technology developed in mature markets solves problems that parking operators face every day in the region — but it arrives with costs, infrastructure and operating requirements that simply don't fit here. Our bet is to bring it properly adapted.
A 30-space operation deserves the same visual intelligence as a 3,000-space one. The difference shouldn't be in the technology — it should be in how we deliver it so any operation can use it.

Founder · Systems Engineer
I'm a systems engineer with over 25 years of experience. A large part of my career was abroad: many years in the United Kingdom, then in Spain, and more recently based in Argentina.
During those years I worked extensively in computer vision applied in companies — the type of technology behind smart cameras, automatic visual data reading and real-time control systems.
When I returned to the region, what struck me most was the contrast: the tools we used abroad to solve concrete problems — vehicle traffic, access control, visual auditing — simply weren't available here. Not for lack of demand, but because they were designed for a different operational and economic reality.
Yrix is our way of closing that gap: bringing the computer vision standard from mature markets, adapted to the operational reality of each parking lot — regardless of its scale.
Yrix is the product of coordinated teamwork where every release passes through multiple hands before reaching a client. These are the areas that sustain day-to-day operations.
Design and training of the detection and recognition models that run on every Jetson. It's the technical heart of the product.
The web platform, the API, the operator dashboard, billing integrations and everything that connects the hardware to daily operations.
Continuous validation of every release against real parking scenarios. What reaches the client was tested beforehand — from plate reading to payment flows.
Onboarding support and post-launch assistance. A new client is never left alone facing the system — the team is always on the other side.
Three principles behind every technical and product decision.
All the intelligence runs on a device the size of a shoebox that consumes 15 watts. No servers, no racks, no prior infrastructure.
Designed for parking lots that exist today: with or without barriers, with or without a readable plate, with cashiers and clients who don't always have the app. Technology adapts to the site, not the other way around.
AI models at the level used in mature markets, but at a cost and complexity that any parking lot at any scale can sustain. That is the idea behind every product decision.
We'll show you the system live and review together which modules make sense for your case.