What Is Acquirezy? The Company, Deal & Contact Intelligence Platform

If you've ever needed to research a private company, size up a sector's M&A activity, find who invested in a startup, or pull a list of companies matching very specific criteria, you know the pain: the data is scattered across expensive, enterprise-only tools. Acquirezy was built to put that intelligence in one place, at a price an individual or a small team can actually afford.

What Acquirezy is

Acquirezy is a company, deal and contact intelligence platform. Think of it as a single searchable graph of the business world: companies and the acquisitions they make, the funding rounds they raise, the investors behind those rounds, the people who run them, the contacts you can reach, and the schools and events that connect them. Every entity has its own profile page, and every dataset is filterable down to granular attributes.

The goal is breadth and accessibility — the coverage you'd expect from a market-intelligence product, without the enterprise contract, the sales calls, or the per-seat pricing that usually comes with it.

The 8 datasets

Acquirezy is organised around eight connected datasets:

• Companies — 5.4M profiles with firmographics: industry, headquarters, founding date, size, website, web-traffic signals and 100+ columns.
• Acquisitions (M&A) — 200K+ deals with acquirer, target, announced date, disclosed price and deal type.
• Funding rounds — 700K+ rounds with round type, amount raised, valuation, stage, date and participating investors.
• Investors — 327K+ venture capital, private equity, accelerators, corporate and angel investors, with portfolios and activity.
• People — 2M+ founders and executives mapped to companies, with roles and tenure.
• B2B contacts — 60M+ professional contacts with titles, departments, seniority and company links.
• Schools & universities — 45K+, linking founder-alumni networks to companies.
• Events — technology and startup conferences with speakers, sponsors and exhibitors.

Because the datasets are connected, a single company profile shows its acquisitions, funding history, investors, key people and contacts in one place — and you can pivot from any of them to the next.

And connected data surfaces things you can't see otherwise. For example, the most acquisitive companies in Acquirezy's database aren't the tech giants most people would guess — they're insurance consolidators and private-equity firms: Gallagher (524 acquisitions), HUB International (406) and Accenture (349) top the list, ahead of Google and Microsoft. (More in our M&A database guide.)

How it works

Every dataset is a filterable table. You can filter across 100+ columns — by industry, geography, size, funding stage, deal size, investor type and much more — then open any company, investor, deal or person to a full profile. Paid plans add CSV export so you can take a filtered list into your CRM, spreadsheet or model. For larger needs, Bulk Dataset Export licenses entire datasets delivered in your format (CSV, JSON, JSONL or Parquet) over API, S3, GCS or SFTP.

Chase AI

Chase AI is the built-in assistant that sits on top of every dataset. Instead of building filters, you can just ask — "which firms acquired the most fintech companies in 2025?", "summarise funding in climate tech", or "compare these two acquirers" — and get answers grounded in the underlying data, with the profiles to back them up.

Pricing

Acquirezy is transparent and self-serve — no quotes, no sales calls:

Who it's for

• Founders researching markets, acquirers, competitors and potential investors.
• Investors (VC/PE) and analysts sourcing deals and mapping sectors, portfolios and M&A activity.
• Corporate development & M&A teams building target lists and tracking acquirers.
• Sales & business development teams building prospect lists with firmographics and contacts.
• Researchers & data teams who want the raw datasets via bulk export.

Want to see how Acquirezy stacks up against the tools you already know? Read our comparisons: vs Crunchbase, vs PitchBook, vs Tracxn and vs LSEG.