Buyer intelligence for bankers and business brokers

Know who buys companies like the one you’re selling.

A continuously refreshed database of private equity firms, their portfolio companies and the decision-makers at both, with the acquisition criteria and operating characteristics bankers and brokers actually screen on. One project per deal; a buyer list you can refine, correct, annotate and export.

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Live database counts are unavailable right now.

What's in the database

Real counts, read from the database as you load this page.

Every record is built from public company websites and carries its source. A value that was not found stays empty; it is never estimated.

Live counts are unavailable right now: the database could not be reached when this page was rendered. Nothing below is estimated; the dashes mean unknown.

Companies

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PE firms: —
Portfolio companies: —
Strategic acquirers: —
Family offices: —
Search funds: —

People: —Owners, executives, partners and deal teams

Verified emails: —Confirmed by a positive verification result

Industries covered: —NAICS-based taxonomy with plain-English names

Last updated: —

Counts are read from the database and refreshed every five minutes. Verified emails are addresses that returned a positive verification result; inferred addresses are shown as inferred and never counted here. Last updated is the newest crawl or extraction on record.

How it works

From a deal to a buyer list in three steps.

1
Create a project
One project per deal. Its criteria, corrections, notes and do-not-contact flags stay with the project and your organization; other firms never see them.
2
Set the criteria
Buyer profile, seller profile (including the seller's customers), deal profile and contact filters. The match count updates as you type. Every filter can include records where the value is unknown, on by default, so sparse data never hides a good target.
3
Refine, annotate, export
Work the list in a dense grid: expand a row for the full record and its people, check the source of any value, correct what is wrong, flag who not to contact, then export exactly the columns you see as CSV or XLSX.

Criteria

Filter on what bankers and brokers screen on, not on what a directory happened to list.

32 filters in 4 groups. Ranges take a min and max, enumerations are multi-select, text filters match anywhere in the scraped language. Each one has an “include unknown” toggle, on by default.

Buyer Profile9 filters

Company type
Fund size · USD
AUM · USD
Fund number · count
Vintage year · year
HQ country
HQ state
HQ metro
Geographic focus

Seller Profile9 filters

Revenue · USD
EBITDA · USD
EBITDA margin · %
Employee count · count
Revenue generation method
Industry

Customer profile

Customer type
Customer income tier
End-market industry served

Deal Profile7 filters

Target check size · USD
Investment type
Platform deals
Add-on deals
Target industries
Stated acquisition criteria
Recent acquisition activity

Contact Filters7 filters

Role category
Has verified email
Has any email
Has direct phone
Has LinkedIn
Seniority
Exclude do-not-contact

The workspace

A three-pane workspace built like a file explorer.

Projects on the left, the results grid in the middle, the full record and its people on the right. Dense on purpose: it is a working tool, not a dashboard.

The BankerBuyerList workspace: a project rail on the left listing the organization's projects, and the selected project's results pane with its column headers Company, Type, Industry, Fund Size, Check Size, Investment Type and Target Revenue Range, the grid continuing to the right with every other column. — The demo organization, signed in as its owner. Fixture data; every value shown carries a provenance record.

Pricing

One plan. Everything included.

Each person at your firm subscribes on their own and shares the same projects, corrections and do-not-contact flags.

All-inclusive

$19.99 / monthper user

Everything in BankerBuyerList, billed monthly per user. Cancel any time.

Unlimited projects, one per deal
Full criteria set: buyer, seller, deal and contact filters
Provenance on every field: source URL, extraction date, confidence
Verified, inferred and unverified emails clearly distinguished
Do-not-contact flags per deal and organization-wide
CSV and XLSX export of exactly the columns you see
Inline corrections that re-scrapes never silently overwrite

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FAQ

Questions bankers and brokers ask before they sign up.

Where does the data come from?

From the public websites of private equity firms, their portfolio companies and strategic acquirers: home pages, team pages, portfolio indexes, news and press releases, plus curated directories. Our own crawler fetches them at a courteous rate (see /bot). Every non-empty value carries a provenance record with the source URL, when it was extracted and a confidence score, and you can inspect it on any field in the workspace. A value that was not found on the page stays empty and shows as a dash. Nothing is guessed.

How are emails verified?

Addresses derived from a company’s known email pattern are labelled inferred; addresses found on a page or supplied by a people feed are labelled unverified. An address becomes verified only after a positive result from an independent verification service; catch-all and unknown domains stay unverified. Results are cached so an address is not re-checked needlessly. The workspace always shows which status applies.

Do you scrape LinkedIn?

No. This service does not crawl LinkedIn. LinkedIn-derived fields such as profile URL, headline and tenure are populated only from records the operator supplies through a separate, documented ingest, validated and recorded with their own provenance source. The crawler described on /bot reads company websites only.

Can I stop a firm or a person from being contacted?

Yes, at two levels: do not contact for this deal (one project) or never contact for any deal (your whole organization). Flagging a company can flag everyone at it. Flagged rows stay visible but dimmed and are left out of exports unless you include them. Flags belong to your organization only, record who set them and when, and can be reversed.

What do exports contain?

CSV or XLSX with exactly the columns visible in your results grid: a header row of field titles, then the data. No metadata, audit or provenance columns. Rows flagged do-not-contact are excluded by default.

What if a record is wrong?

Edit it in place from the detail panel. Your correction becomes the live value immediately and is recorded as a user edit with its own provenance. A later crawl that disagrees with a human edit never overwrites it; the disagreement is parked for review instead.

How does billing work?

One all-inclusive plan at $19.99 per user per month: every person at your firm holds their own subscription. You start with a free trial of 3 searches or 1 export, whichever comes first (a search is applying new criteria to a project), and signing up does not ask for payment details. Stripe bills the subscription through its secure checkout, and you can cancel any time from the billing page.

Who is it for?

Bankers, business brokers and M&A advisors selling lower-middle-market companies who need to know which acquirers, whether PE firms, their platforms, strategic buyers, family offices or search funds, actually buy businesses like the one they represent. Accounts belong to an organization (your bank, brokerage or advisory firm); projects, notes and do-not-contact flags are shared within it and never across organizations.