We put a technician on site, capture against a fixed specification, and build the models, engineering and permits off real measurements instead of imagery.
Solar Survey AI is the field data layer for solar. We put a trained technician physically on site, capture structure and electrical in a single visit against a fixed specification, and build everything downstream off that capture: 3D models accurate to less than an inch, stamped engineering, permit packages, and aerial inspection of operating assets.
We work for solar installers and EPC contractors as overflow and outsourced survey capacity. We are not an installer and we do not sell to homeowners. Our customers are the companies doing the installing.
Most of the cost in a solar project that nobody prices is the cost of acting on data somebody guessed at.
A remote measurement gets you a roof outline. It does not get you rafter spacing, a bus bar rating or the vent stack sitting where row three was going. We send a person.
Two technicians on the same pay with the same jobs can differ by ten points of rework rate. The difference is whether they are working from a specification or from experience.
We put the in-house versus outsourced maths on the site with editable models, including the cases where running it yourself is cheaper. It usually is, at low volume.
The Field Notes series is where we show the reasoning rather than assert it: what a completed survey actually costs in house, why utilization decides the number, where the crossover against outsourcing sits, and the capture standard we run. The models are editable and nothing you type is sent anywhere.
If it turns out we are the wrong answer for your volume, the models will tell you that before a call does.
Fifteen minutes. We will tell you straight whether we fit your volume and where we do not.
Book a 15-min call