The engine behind Agentic Solar, built and run by Gloura: sweeps a region from overhead imagery, scores every roof for solar fit, and drafts the outreach, with a person reviewing every message before it sends.
Qualifying a roof for solar by hand means pulling imagery, estimating pitch and orientation by eye, and guessing at shading, which does not scale past a handful of buildings a day.
Even a qualified roof is wasted if the follow-up reads like a mail merge, so a fast pipeline that produced generic outreach would have solved the wrong half of the problem.
Screens below are the live product, not mockups.
Pick a saved target region, a sweep radius up to 5km, and a sample density of fast, balanced or deep, then run the scan. No per-building setup.
Every building in the sweep gets a fit score plotted directly on the imagery, with qualifying roofs pulled into a ranked list by score, modelled yield or savings.
Roofs scanned, qualification rate, pipeline value and modelled production tracked across every sweep, not reset each time a new region is run.
Each qualifying roof opens into the specifics: usable area, pitch, orientation, sunlight hours and a plain-language reason list explaining exactly why that roof cleared the bar.
A message drafted straight from that roof's own figures, specific enough to name the square metres and the payback period, and held for a person to read before it goes anywhere.
A region that used to take a team days to work through by hand is swept in one pass, with only the roofs that actually clear the bar reaching a person's desk. Every message that goes out still gets a human read first, so speed never comes at the cost of the thing that makes a lead convert instead of getting deleted.
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