The Company
One Thesis.
Every major computing shift produced new foundational infrastructure. AI is no different — it demands new data architecture, new intelligence systems, and new ways of building defensibly before the market has named the category.
ZiggyTech Ventures was founded to build that infrastructure first. Not by waiting to see what enterprises decided they needed, but by identifying the gaps early and filing IP around them. RNDA. Phoebex. Multiple patents. Two live products with more in development.
We are an AI-native company — a small founding team moving with the leverage that wasn't possible three years ago, building what AI-era enterprises will depend on before they know they need it.
The Founders
Jordan Etzig
Co-Founder & CEO · ZiggyTech Ventures
I spent 17 years in Las Vegas casinos — dealing cards, running shifts, playing poker at a professional level. Along the way, I was a licensed mortgage loan officer, directed a short film, and built a photography practice. I am not a technologist.
The thread connecting all of it wasn't a career plan. It was an unwillingness to let a job description define the ceiling. Every path pursued, every project built — they all pointed at the same thing: I wanted to build something that was mine.
In 2012, at the World Series of Poker, a fellow player named Bryan Micon spent an hour explaining Bitcoin to me. At the time it was trading at $10, but was being used for illegal activities and I decided not to pursue it. I watched the next decade with a specific kind of regret.
When AI arrived, I recognized the moment.
Every idea I'd ever had died because building it required engineers, capital, and time I didn't have. AI changed that equation entirely. There's a scene in the film Steve Jobs I've thought about for years — Wozniak asks Jobs what he actually does. Jobs says: I conduct the orchestra. I've always felt like the conductor without an orchestra. And now, for the first time, the orchestra existed.
The AI Era didn't start as a thesis. It started as an observation. Every company is trying to fit AI into existing technology. Square peg, round hole. ZiggyTech Ventures started with AI and asked what should be built around it — not the other way around. The infrastructure. The IP. The architecture that enterprises will depend on before they know they need it.
I've studied Zen philosophy since my early twenties. Satori — the Japanese word for sudden enlightenment — isn't a sustained state. It's a moment that arrives, changes you, and passes. What strikes me about this era of computing is that it holds the same quality: a genuine inflection point, arriving faster than most institutions can perceive. That philosophy guides how we build — move at the edge of what's visible, file the IP around it, and trust that the market will arrive where we already are.
Jayme Ringerman
Co-Founder, COO & CMO · ZiggyTech Ventures
Jayme Ringerman is a technology executive with over 30 years of experience leading enterprise data infrastructure, cloud transformation, and marketing operations programs. His career spans IBM, Teradata, BrandMaker/Uptempo, and BearingPoint/PwC — Fortune 100 engagements built on a foundation of military service and technical education through the US Navy and MIT. When Jayme saw what ZiggyTech Ventures was building, he recognized the future of an industry he had dedicated his career to — and knew immediately he needed to be part of it. At ZiggyTech Ventures, he leads operations and go-to-market as Co-Founder and COO.
“I spent over 30 years helping enterprises build data infrastructure. When I saw what RNDA was doing — not compressing data, but eliminating it — I recognized it immediately. This is where the industry has to go.”
Matt Nugent
Co-Founder & CFO · ZiggyTech Ventures
Matt Nugent was among the first to see what ZiggyTech Ventures was building — and committed without hesitation. A Las Vegas native who has spent years managing large-scale teams and daily operations in the hospitality industry, he brings the operational discipline that comes from running real teams in high-stakes environments.
“When Jordan walked me through his vision for the future of AI, I didn't need to be convinced. The architecture was obvious. The timing was right. I was in.”