Built in the field.
Operators first. We build industrial AI vision analytics from inside the field — close to the problems our customers face every day.
Our Story
We started VisionAery in 2023 with a simple, stubborn idea — the hedgehog concept — that we were going to solve real-world, complex problems that hadn't been solved before. Since then we've built three production analytics: Liquid Leak Detection, Flare Monitoring, and Fire & Smoke Detection.
In March 2026 we were acquired by Twin Eagle Solutions, who share our ideals on quality-built, best-in-class analytics. Together we keep doing what we've always done: building detection that holds up in the messy reality of the field.
A Twin Eagle Solutions Company
Backed by Twin Eagle Solutions
In March 2026, VisionAery was acquired by Twin Eagle Solutions — a partner that shares our commitment to quality-built, best-in-class analytics. That backing lets us design, deploy, and support AI vision analytics that hold up in demanding real-world environments.
Visit Twin Eagle SolutionsOur Deployment Footprint
Continents
- North America
- South America
- Australia
- Asia
Countries
- Canada
- United States
- Venezuela
- Australia
- UAE
U.S. States
Leadership
The founders who built VisionAery from the field up.
Kaylor Greenstreet
Founding CEO
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Casey Rawlins
Founding CTO
Advisory Board
Built with the people who use it
VisionAery is guided by an advisory board of industry experts drawn from the operations we serve. We lean on them for honest, strategic feedback on our solutions — pressure-testing what we build against real field conditions so every product we bring to market solves an actual problem our customers have, not one we imagined for them.
"We never want to be our own sounding board when it comes to the products we think are useful. We will always ask our customers for their input and honest feedback about the solutions we bring to the market."
How We Build
The principles behind every model we train and every site we deploy.
Hands in the dirt
We don't build analytics from California, New York, or overseas. We get into the use case as deep as we can — because that's the only way to truly understand the problem and how to solve it.
Real data, never synthetic
We train our models on real footage only. Synthetic data strips away the dirty, messy nuances of real industrial sites — AI can't recreate every imperfect condition an operator faces day to day.
Solve the unsolved
We built VisionAery on the hedgehog concept: focus relentlessly on solving real-world, complex problems that haven't been solved before.
Let's talk about your sites
Tell us what you're working on and we'll scope how VisionAery analytics can fit your operations.