Vertex Labs · headcount
Direction, not just size
Build the list from change
Companies growing past a threshold, not a static list of names that was true last quarter. For go-to-market teams.
Criteria in, the accounts that match out. Filter on firmographics and on what changed — headcount by department, funding, hiring and leadership moves — live across 60M+ companies rather than from a list that was true last quarter.
Platforms shipping their own products on these records today.












Every account list starts with who a company is. What makes it useful is what changed since the last time you looked.
Name, domain, industry, company type, year founded and size band — the firmographics every list starts from.
Country, headquarters and the other offices — so a territory is a filter rather than a spreadsheet sort.
Total headcount, and the change across one, three, six and twelve months — direction, not just size.
Headcount by department and how each one moved — engineering hiring hard is a different signal from sales hiring hard.
Total raised, last round type, amount and date, the investors on it, and the IPO date where a company is public.
Open roles and which functions they sit in — intent stated in public before anyone answers a call.
Validated leadership and the changes between them, so a new decision maker is something you can search for.
Group criteria with and/or and nest them, match ranges and dates, and sort the result by the number that matters.
Search runs against the graph when you ask. The dataset hands you the records to keep. Most teams end up using both, and this is the honest way to work out which one you need first.
| Company Search | Company Dataset | |
|---|---|---|
| What you get | The companies matching a description, returned per query. | The records themselves, delivered as files on your schedule. |
| Freshness | Live against the graph — a company that moved this week shows as it is now. | A cut you hold, refreshed on the cadence you agree. |
| Use it when | The question changes often, or it belongs to a user inside your product. | You are running the same joins repeatedly and want the data in your warehouse. |
| Together | Hold the bulk cut for the joins you repeat, and search live over the same graph for the accounts that only became interesting yesterday. | |
Search returns companies. The fourth step is the one that turns an account list into people you can actually reach.
Each of these is one search. The difference is only which change is doing the work.
Vertex Labs · headcount
Direction, not just size
Companies growing past a threshold, not a static list of names that was true last quarter. For go-to-market teams.
Rounds on the record
While the budget is new
Filter on round type, amount and date, so you arrive while the money is still being allocated. For sales and partnerships.
Which team, not just how many
Headcount by department tells you what a company is actually investing in. For teams selling to one function.
Open roles · by function
Intent, stated in public
What a company is hiring for says what it is about to build, months before it says so. For account research.
VP Data · Vertex Labs
D. Novakleft Vertex LabsE. Haugenappointed
new owner of the decision
A door that just opened
A new leader re-opens decisions the last one closed. Search for the change rather than hearing about it late. For enterprise sales.
Your product · accounts
Your users, your UI
Offer the same account search to your own users, under your brand, over the graph your product already runs on. For platforms.
The same graph behind every surface — the difference is only who is asking.
Run a query at the moment of the question and get the accounts that match.
The same search inside Claude and ChatGPT, and any tool that speaks them.
A visual layer over the same APIs. Run real searches in a UI before anyone writes code.
We search and validate our own graph rather than reselling someone else’s, and the account criteria you send are not retained as a list of who you are targeting.
Security & Trust CentreSearch answers a question against the graph as it stands. The Company Dataset hands you records to hold and query yourself. Same graph underneath — the choice is whether you want the answer or the data.
Yes, and that is the usual pattern. Company Search gives you the accounts; People Search or Decision Makers gives you who to reach inside each one.
Yes — and the change in each. It is the difference between knowing a company grew 30% and knowing the growth was all in engineering, which is usually the part that decides whether an account is worth a call.
Web traffic, SEO metrics, review-platform ratings, social follower counts and competitor mapping. We would rather say so than have you discover it after signing. If your case depends on one of those, tell us and we will say plainly whether we are the right fit.
Live. A search runs against the graph at the moment you ask, so a company that raised or reorganised this week shows as it is now rather than as a snapshot remembered it.
Yes — platforms run it inside their own product under their own brand. Tell us what you are building and we will scope it with you.
Fifteen minutes, the account search you actually need to run, and the companies the graph returns for it.