Make the filing useful
The truth is already filed. Our job is to turn 300 pages into a decision in under a minute — without losing the thread back to the source.
About FranCloud
And we turn them into the deals nobody else can see.
The origin
We built FranCloud because the answers were already public — and nobody was using them.
Every franchise in America has to file a Franchise Disclosure Document: 300-odd pages where, by law, they tell the truth about units, revenue, royalties, mandated vendors, and how decisions get made. It’s the single most honest dataset in B2B. And it sits in a depository almost nobody opens.
We watched software teams try to sell into franchising the hard way — buying generic lists, cold-calling the wrong person, paying $50–150 a pop for FDDs they didn’t have time to read. The intelligence existed. It was just unreadable at scale.
So we read all of it — and kept reading. Every filing, page by page, given context our researchers add, matched to what you actually sell, and kept current the moment anything changes. Raw data is everywhere; what it means for you is the whole company.
The receipts were public the whole time. We just made them readable.
FranCloud turns the filings into a structured, source-traceable corpus — refreshed on every new annual filing.
Three commitments that keep us honest — and keep the product worth buying.
The truth is already filed. Our job is to turn 300 pages into a decision in under a minute — without losing the thread back to the source.
Source-traceable, QA-checked, refreshed on every filing. Not “100% accurate,” not “real-time.” The honesty is the product.
We’re a challenger to the old way — stale databases, bought PDFs, dead-end cold calls. The confidence is backed by real numbers, every time.
FranCloud Research
FranCloud Research is our public-facing analyst arm. It exists because the best proof that we understand franchising is the work we publish — reports and data studies built entirely from primary filings, cited by the people who buy and sell franchise software.
Read the research →