Buyer's guide for AI deal teams

Private Equity Software, Measured Not Marketed

Compare private equity software by coverage, latency and price tier, then test each platform on companies you already know before you buy.

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Published figures

The numbers vendors put on the page

4.5M
Companies covered by PitchBook, as reported by the vendor
525,000
Investors tracked by PitchBook, vendor-reported
$2,000 to $2,700
Affinity list price per user per year across published tiers
2,000 rows
Monthly export cap on Crunchbase Pro at about $49 per user per month
Selection criteria

Six tests that separate tools

The same measurable criteria we apply to startup databases, applied to the private equity software stack.

Early-stage coverage

Check how many seed and Series A AI companies exist in the record. Large totals often hide thin coverage below Series B.

Data latency

Measure days between a round announcement and the record. A two-week lag turns a sourcing tool into an archive.

Filter quality

Test whether you can filter by vertical, round size and investor type without exporting to a spreadsheet first.

Relationship capture

A CRM that logs email and calendar activity automatically saves hours, but only if your team actually connects inboxes.

API and exports

Row caps and licence terms decide whether you can feed your own models. Read the export clause before the demo.

Price per seat

Self-serve plans start near $49 a month. Enterprise licences are quoted, so budget for a sales cycle and a minimum seat count.

Evaluation routine

Run a four-step trial

A routine that ties the purchase to a decision instead of a demo.

  1. 1

    Define the sourcing question

    Write one sentence: which companies, stages and geographies must the tool surface? Every filter you test should trace back to it.

  2. 2

    Build a known-company sample

    List twenty companies you know well, with five funded in the last six months. This is your ground truth for coverage and accuracy.

  3. 3

    Score coverage and latency

    For each company, note whether it exists, whether the amount and date match the announcement, and how many days the record lagged.

  4. 4

    Price the full stack

    Add database, CRM and export costs for your real seat count. The cheapest line item rarely stays the cheapest at five users.

Use case

Sourcing AI companies before the round

When a seed-stage agent company starts hiring three engineers and a head of sales, the first evidence is usually a job board, not a database. Private equity software confirms the story later, once a round is announced and entered. Use the platform to qualify targets you already spotted, and use hiring signals to decide which ones to open first. Then log the delta in your CRM so the next analyst does not repeat the work.

  • Spot hiring jumps before a round is announced
  • Confirm round size and investors in a database
  • Log owner and next step in a relationship CRM
See how we track signals
Analyst working on a laptop next to a printed deal spreadsheet
Use case

Keeping warm intros from going cold

A database cannot tell you that a partner met the founder last spring. A relationship CRM can, because it reads email and calendar metadata and scores relationship strength. For a team of five or more, that history is often the difference between a warm intro and a cold outreach. For a solo analyst, a spreadsheet and a disciplined weekly review usually cost less and work nearly as well.

  • Relationship strength scores from email and calendar
  • Shared pipeline lists with stage and owner
  • Worth the seat price only at team scale
Deal team reviewing a relationship network graph on a wall screen
Side by side

Five platforms, measured on price and fit

Pricing and positioning as published or reported by each vendor. Confirm current terms before purchase.

CriterionPitchBookAffinityCrunchbase ProDealroom
Core jobPrivate-market data across VC, PE and M&ARelationship CRM for private capitalCompany and funding discoveryEuropean startup and investor data
Entry priceQuoted per contract$2,000 to $2,700 per user per yearAbout $49 per user per month, annualAbout EUR 12,600 per year, three seats
Buying processSales-led annual seatsSelf-serve to custom enterpriseSelf-serve plus API licencesPer-seat, on request
Best fitFunds needing valuations and fund dataTeams that need shared relationship historySolo analysts and small teamsTeams focused on Europe
Watch forEnterprise cost and seat minimumsNot a data source on its ownExports capped at 2,000 rows a monthRegional strength, thinner elsewhere
Questions

What buyers ask first

What is private equity software?
It is the stack a deal team runs on: a private-market database for sourcing and comps, a CRM that logs relationships and pipeline stages, and sometimes portfolio monitoring or fund accounting on top. Most firms combine two or three tools rather than buy one suite that does everything.
How much does private equity software cost?
Prices span three orders of magnitude. Crunchbase Pro lists about $49 per user per month billed annually. Affinity publishes $2,000 to $2,700 per user per year. PitchBook, Tracxn and Dealroom quote per contract, with third-party estimates from roughly $6,000 to $24,000 a year for Tracxn and a reported EUR 12,600 for a three-seat Dealroom plan.
Which tool suits a small team tracking AI companies?
Start with the cheapest layer that answers your question. If you need company discovery and recent rounds, a self-serve database is enough. Add a relationship CRM only once several people touch the same targets, and add an enterprise data licence only when you need valuations or fund-level data.
Does private equity software replace manual sourcing?
No. It narrows the list and logs history, but early-stage AI companies appear in databases with a lag, and some never appear until a round is announced. Hiring boards, repositories and launch pages still catch signals that no subscription indexes yet.
How should I test a data platform before signing?
Pull twenty companies you already know well, including five from the last six months. Check whether each exists, whether the funding amount and date match the press release, and how many days passed between the announcement and the record. Coverage and latency matter more than the headline company count.
Is a relationship CRM different from a database?
Yes. A database describes the market from public and licensed sources. A CRM records what your own team knows: who met whom, when, and what was said. Affinity-style tools capture email and calendar activity automatically, which is the part a database cannot supply.
What data does this software usually miss?
Secondary transactions, small convertible notes, stealth rounds and many non-US seed deals often sit outside the record, or arrive weeks late. Treat any single platform as a first pass and reconcile it against a second source before you quote a figure in an investment memo.
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