Built from the filings
Drawn from the legal disclosures franchises are required to produce — the one place they have to tell the truth. Not scraped web copy, not a list broker’s leftovers.
The data
Built from primary filings, refined by models that are entirely our own. We’ll show you what it can do — the how is the moat.
Most “franchise data” is a scraped directory of the big names. Ours is something else entirely — and it can’t be casually reproduced.
Drawn from the legal disclosures franchises are required to produce — the one place they have to tell the truth. Not scraped web copy, not a list broker’s leftovers.
Not the convenient few hundred household names — effectively every active US franchise brand. The long tail is where the open accounts hide, so we cover all of it.
Purpose-built models read each disclosure end to end and turn dense legal text into structured signal — depth a generic scraper or off-the-shelf LLM never reaches.
Whatever we surface ties back to the document it came from. Source-traceable, so you can stand behind any number you put in front of a buyer.
A franchise can only change its story when it files a new one. The moment that happens, we catch it — so the corpus tracks reality, not last year’s rumor.
Why it matters
A vendor change in a fresh filing is the single highest-intent signal in franchise sales.
It means a brand just re-opened a buying decision you can win. Stale databases miss it entirely — they’re showing you last year’s stack. We refresh on every new annual filing, so you see the door open while it’s still open.
The analytics are the product. We’ll happily tell you what they deliver — the rubric itself stays behind the curtain, because it’s the part nobody can copy.
Honesty is the whole product. Here’s the posture, in plain language.
Source-traceable and QA-checked. Never “100% accurate.”