No mix-ups
A business with the same name in Orlando is in another city, so it is never merged in. It stays apart.
Are your insureds telling the truth? Every application says one thing. The public record says what’s real. Insuralyzer sweeps registries, websites, social networks and insurance history — and hands underwriting the difference, in minutes.
Summary · read from the map 7 kept · 1 dropped
02 — THE ONTOLOGY
The run above doesn’t end in a list. Every fact it finds becomes a dot on a map of the business — owners, places, phones, profiles, policies — joined by how they connect. Each dot keeps its source and how sure it is. Then the summary is read from the map, sentence by sentence, so nothing in it is made up.
A business with the same name in Orlando is in another city, so it is never merged in. It stays apart.
One phone number ties the owner to a second business.
The website says 12 years. The company record says 2017. Both stay on the map, flagged for review.
A sentence with a number, name or place that isn’t on the map is dropped.
Colour — where the fact came from
How sure
Bigger dots have more links. Small faint dots are pages read and records checked.
Every run cross-examines the application against the public web — and comes back with receipts.
04 — HOW IT WORKS
A business name and a city are enough. Add the owner if you have one.
Breadth-first crawling expands from search results to websites, profiles and registries — wave after wave, until the trail goes cold.
Vision and language models read every page and screenshot, extract the facts, and reconcile them into one risk profile.
A scored summary — owners, operations, footprint, insurance history — ready for underwriting.
05 — THE SUMMARY
legal name, addresses, years in business, what they actually do
owners and officers with matched contact records
websites, Facebook, Instagram, LinkedIn, TikTok
workers’ comp expiration dates and commercial lines policy data
info score 0–100 and depth level, so you know how much was found
78/100 · depth 606 — IN THE FIELD
The console streams every step as it happens — searches, crawls, model calls, warnings — then settles into the summary. Shown here embedded in an agency workspace; data anonymised.
Quote what the business actually is — not what the application says it is.
Turn a list of names into qualified, contactable leads with expiration dates.
Operations drift. Payrolls grow. Re-screen the book and catch it before the audit does.
Owners and officers, matched to public records and profiles.
Nothing behind a login you don’t own.
Every run is logged step by step; every fact shows where it came from.
Isolated services, encrypted at rest and in transit.
Insuralyzer informs the decision; your underwriter makes it.
Send us a handful of live prospects. We’ll screen them in front of you.