Residential · Commercial & Industrial · Utility-Scale

Every solar decision is a bet on data someone else collected.

We collect it properly: surveys, engineering and computer-vision inspection across the whole asset lifecycle. And because every survey trains the next one, the data gets sharper the more of it we run.

See what bad data costs you See how it works
0surveys completed
0technicians nationwide
0to site survey
0data accuracy
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The problem

The survey is a rounding error in the budget
and it decides the whole project.

A measurement taken from a driveway. A roof plane estimated off satellite imagery. An electrical panel nobody photographed. None of it looks like a problem until it is one, three weeks later, with a crew already on site.

It surfaces late

Bad field data never fails at the survey. It fails at design, at permit, at inspection, or on the roof, where every hour costs ten times more and the customer is watching.

It compounds downstream

One wrong azimuth becomes a redesign, a re-permit, a re-schedule and a change order. The original error costs nothing. The chain reaction is the invoice.

Nobody is measuring it

Revisits get logged as scheduling. Redesigns get logged as engineering. The cost is real and continuous, and it almost never appears on a line item anyone owns.

Where you operate

Pick your ground. We'll show you
exactly how the work runs.

The failure mode is different at every scale, and so is the fix. Choose everything that applies; plenty of our customers run two or three of these at once.

Select one or more. The sections below adapt, and your calculator gets tuned to match.
Residential
First, the layout everyone else would sell you. Then a technician on site, and the same roof gets bigger. Keep scrolling:
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TECHNICIAN STRUCTURAL + ELECTRICAL BATTERY · 13.5 kWh INVERTER · 7.6 kW MAIN 200A CONDUIT CAPTURE
Keep scrolling. The roof builds itself
 
Guessing costs you modules. Measuring finds them. Same roof, same setbacks, more system, because the exclusions are real instead of precautionary.
48 hrsto an in-person survey
72 hrsproposal → plan set
99.99%data accuracy
Commercial & Industrial
Same scope as residential at building scale: an in-person technician survey, then design and engineering, plus the inspection work that keeps it producing. Scroll through the whole engagement:
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Technician on site: roof, structure, electrical room Hover a module to inspect it
Keep scrolling. Survey, design, then three inspections
 
One partner from the first site visit to the last inspection, and the survey data the design was built from is the same record the inspections are measured against.
In person → stampedsurvey, design & engineering in-house
Nationwide500+ technicians
One recordas-built through inspection
Utility-Scale
One dataset across the whole asset lifecycle. Scroll and the site ages under you:
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PLAN
Keep scrolling. The site moves through its life
LiDAR topography

Centimetre-grade terrain capture before earthwork commits you to a number. Grading volumes, drainage paths and racking layout come off measured ground rather than a desktop estimate.

SURFACE · 1,840 acres · contour interval 0.5 m
Plan, build and operate against the same spatial record, so the as-built is a byproduct of the work, not a separate project.
Every stringnot a sample
Plan · Build · Operateone dataset
Next morningresults
Why we get better and they don't

Every survey we run makes
the next one sharper.

A survey company sells you hours. We're running a data flywheel: every site we capture becomes labelled training data, every model improvement makes the next capture faster and more accurate, and that speed wins more surveys, which produces more data. It compounds, and it can't be bought. Only accumulated.

99.99%data accuracy
01
Capture
A technician or a drone captures a site to a fixed spec: the same fields, the same angles, the same photo discipline, every time.
02
Label
Every capture is verified against what was actually built. Right and wrong both become ground truth, which is the part most datasets never get.
03
Train
Computer-vision models learn roof geometry, obstruction detection, thermal signatures and defect classes from real installed outcomes.
04
Automate
What a person measured last year, a model measures this year: faster, cheaper, and without the variance between technicians.
05
Compound
Faster and more accurate wins more surveys. More surveys produce more ground truth. The gap widens every quarter.
The number nobody owns

What is bad field data
costing you a year?

Three models, one per vertical, each built on published industry benchmarks: Aurora Solar's change-order study, SurgePV's 2026 margin data, and Raptor Maps' 125 GW underperformance report. Everything is computed in your browser and nothing is sent anywhere until you decide to send it.

Assumptions & sources
Your result is ready
Enter your info below and we'll reveal what bad field data is costing you per year.
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Estimated annual cost: Residential
$0
Revisits & truck rolls$0
Change-order rework$0
Delay carrying cost$0
Cancelled jobs$0
See what it’s costing you
Your numbers are set. Enter your info to reveal your estimated annual cost. We'll also send a one-page teardown of the model behind it, what the recoverable portion typically is, and where it usually hides in your operation.
No newsletter, no sequence. One email with your numbers in it.
On its way.
We've got what we need. Here's what we're working from:
Your number, read back

Your biggest single driver

Where it actually starts

What we would do about it

See how the work runs Bring us one project
Track record

Not a pilot. An operation.

0surveys completed
0technicians deployed
0in the field
All 50states covered

Stop guessing at the ground.

Bring us one project. We'll survey it, deliver it, and you can compare it against whatever you're doing now.

Run the numbers firstBook a demo