581,724
It starts as public records.
Six state license files from Texas, Florida, and California. One dot per row, exactly as the states publish them.
RVNU builds AI systems for revenue teams. We start with the one the rest depend on: an accurate map of your market, scored and synced to your CRM.
Each light is a licensed HVAC, plumbing, or electrical business in Texas, Florida, or California. Real public records, one build.
581,724
Six state license files from Texas, Florida, and California. One dot per row, exactly as the states publish them.
491,730
Each row passes rules you can read. Every row we drop is counted, with the reason, and kept on file.
89,994
Each one matched to an address, a county, and its trades. The whole market in three states, not a sample of it.
0 to 100
Six factors, from locations and hiring to the software on their own site. Code sets the score, and every point cites the record behind it.
3,333
The rings are the accounts in a sample company's Salesforce. Of the 285 best-fit operators on this map, 264 are not in it.
Every Monday
Ranked, written to your CRM, and refreshed as the records change. We call it the Prospect Index. Keep scrolling to run a small one yourself.
Top of the home services index Names withheld on this page
5 locations on its own site. ServiceTitan in the booking flow. Hiring a dispatcher and an installer.
2 locations. ServiceTitan. Hiring a call center operations manager.
3 locations. Added an electrical license in March 2026.
3 locations. New license issued July 2025. ServiceTitan.
12 locations. Hiring a field operations manager.
Pick a state and a market: contractors, restaurants, child care, dental offices, and more. Your browser reads the public file, cleans it, and maps and scores every real business. Then add your CRM and see who you are missing. You keep the files.
Nothing here is a recording. For the live states your browser asks the state's open data API directly, and every number is computed on this page.
0 of 0 rows read from the state file
Every business on the map now has a fit score from 0 to 100, built from four facts in the file. The sliders set how much each fact counts. Drag one, and the map and the ranking change as you move it.
Code sets every score. On a build, the facts and their weights come from your own won and lost deals, not from sliders.
Which of these businesses do you already have, and which are you missing? Give this page a list of your accounts and it answers on the map.
That was the free tier, and the first hour of a build. The Prospect Index does this for your real market, scores it on your deals, writes it to your CRM, and keeps it current.
See what we build0businesses on the map
Point at a dot or a county
Texas, New York, Washington, Oregon, and Colorado are read live from each state's open data portal. California and Florida replay state files as RVNU saved them. The map is empty until you run it.
Four products, in order. Each has a fixed scope. Every client starts with the Index, because agents are only as good as the data they work from.
GTM engineer
Sam builds the systems: the Prospect Index, the agents, and the plumbing between them. That includes the scoring engine RVNU uses to rate B2B software companies on their go-to-market, from public records alone.
He came to revenue from research, with an MSc in chemistry and a PhD in physics from Victoria University of Wellington, in New Zealand. He builds the way he ran that research: measure first, and let the evidence set the conclusion.
He is who you work with on a build.

Revenue lead
Wayne has sold software since 1998, starting at Reuters in London. He helped build revenue at Kelkoo, Hitwise, and Criteo, built Maxymiser's first revenue team before Oracle bought it, ran revenue at Guidebook for six years, and as CRO took Wonderschool into government sales and to profit inside a year. Since 2021 he has been a fractional CRO to SaaS CEOs.
He decides what gets fixed first.
Tell us who you sell to. We will tell you which public records can find every one of them.
Book a 15-minute call