The Crunchbase vs PitchBook decision now comes down to how you buy and how much scrutiny the work has to survive. Crunchbase sells its Pro plan online at $49 per month for the first year on annual billing, against a $79 list price. PitchBook publishes no prices, sells through a representative, and builds its product around fund returns, LP records, cap tables, and deal comps.
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TL;DR
Buy Crunchbase for scouting, prospecting, and quick company lookups. Buy PitchBook when an investment committee, an LP, or a client will read the output.
The old shorthand of Crunchbase for breadth and PitchBook for depth no longer holds on company counts. PitchBook’s homepage counter read 14,003,087 companies on November 2, 2026. Crunchbase says it passed 6 million in August 2026. PitchBook’s counter is more than twice Crunchbase’s on companies, so breadth no longer works as Crunchbase’s selling point.
Access is the sharper split. Crunchbase has a free account, a self-serve Pro plan, and a Business plan starting at $199 per month on annual billing. PitchBook has a trial you request by form and a price you only learn from sales.
Both vendors moved into AI agents this year, so neither should be picked on that alone. We could not find a public claim from either vendor that it separates AI-native companies from software that added an AI feature, so test that on a trial before you rely on either for an AI screen.
At a Glance Comparison
Every figure below comes from the vendor’s own pages, read on November 2, 2026.
| Factor | Crunchbase | PitchBook |
|---|---|---|
| Companies | 6M+ (August 2026) | 14,003,087 (homepage counter) |
| Investors | 343K (July 2026) | 651,453 (homepage counter) |
| Free access | Free account with usage limits | None; free trial by request |
| Lowest paid price | Pro: $49/mo first year, billed annually ($79 list); $99/mo billed monthly | Not published |
| How you buy | Pro is self-serve; Business and Custom Data Solutions go through sales | Through a representative |
| CRM connections | Business: Salesforce, HubSpot, Zapier, Outreach | Paid extra: Salesforce, Microsoft Dynamics, HubSpot, DealCloud, Affinity |
| API and bulk data | Custom Data Solutions: scaled API, Snowflake or Databricks delivery | Direct Data, a paid extra: API and data feed |
| MCP (lets AI agents query the data) | Crunchbase MCP, from the free account up | PitchBook Data MCP, launched October 14, 2026 |
| Office tools | Chrome extension | Excel, PowerPoint, and Chrome included for all clients |
| Fund returns, LPs, cap tables | No fund returns, LP records, or cap tables listed on any plan | Yes: IRR, TVPI, DPI, 64K+ LPs, cap tables |
Read the top two rows with care. Neither vendor explains on these pages what it counts as a company, and a counter says nothing about how complete each record is.
Crunchbase vs PitchBook: Data Coverage and Depth
Company counts say little here, because neither vendor explains what it counts. What each vendor does with a record tells you more.
Crunchbase: fast growth, mixed inputs
Crunchbase went from about 4.1 million companies at the start of 2026 to more than 6 million by August. It added more than 550K in August alone. In July, its additions broke down as 147K in North America, 127K in Europe, and 21K in Asia.
The vendor names five inputs: direct contributions (more than 4,000 venture partners and 600,000 active contributors), user engagement signals, its own ingestion systems, more than 1,000 news outlets plus government filings, and analyst validation. It adds that AI grading algorithms and human validation keep quality up.
A file growing that quickly is worth testing on the records you care about. Pick 20 companies you know well, including a few outside the US, and check each one for missing rounds and stale fields before you pay.
PitchBook: research staff, fund-level data
PitchBook describes a Data Operations team of 1,800+ people. Web crawlers and secondary sources gather the raw information, AI and machine learning tools process it, and staff improve it before it reaches the platform. The team also contacts firms directly each quarter.
Its own pages don’t agree on the headline number. The homepage counter shows 14,003,087 companies, the data page says 12.7M+, and the comparison page says 13.1M+. The counter also lists 3,304,581 deals and 176,447 funds.
PitchBook lists IRR, TVPI, and DPI on funds, more than 64K limited partners, company financials, cap tables, and comparable deal data. None of those fund-return or LP fields appear on Crunchbase’s plan comparison.
The research desk adds 60+ analysts. In March 2026, PitchBook started late-stage company research with a report on SpaceX and an AI-focused report on Anthropic, Databricks, OpenAI, SSI, and xAI.
Crunchbase vs PitchBook Pricing and Access
Only one of these vendors tells you what it costs before you talk to anyone, and even that price needs a second look.
Crunchbase: three paid plans, one self-serve
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | Company profiles, search results, AI-powered research, and MCP, with usage limits |
| Pro | $49/mo first year, billed annually ($79 list); $99/mo billed monthly | 1 seat, 2,000 export rows per month, AI Search, Scout, MCP, valuation insights, private company forecasts; no CRM connections |
| Business | From $199/mo, billed annually; through sales | 2+ seats, 5,000 export rows per month, Salesforce, HubSpot, Zapier, and Outreach connections, single sign-on |
| Custom Data Solutions | Custom pricing; through sales | Enterprise MCP, scaled API, bulk delivery to cloud storage or to Snowflake and Databricks |
The $49 is an introductory offer. The pricing page labels it “Save 38% on Annual first Year” and strikes through $79. That works out to $588 in the first year and $948 a year at list. Paying monthly costs $1,188 a year.
Pro comes with a 7-day free trial, and exports only switch on once the paid subscription starts. If you need CRM connections, you are in a sales conversation for Business.
PitchBook: quote only
PitchBook has no public rate card. Its pricing page says cost depends on how many seats you need, your firm type, and whether you add premium offerings such as Direct Data or CRM integration. It names no tiers and no dollar figures, and neither does any other PitchBook page we read.
Dollar ranges you see online come from third parties, and PitchBook confirms none of them. We don’t repeat them here. Get a written quote and ask for three things: the price per seat, the annual increase at renewal, and exactly which extras are in the number.
Some extras are free. Excel, PowerPoint, and Chrome integrations are included for all clients, along with the desktop product and mobile app.
Crunchbase vs PitchBook for AI Startup Research
For AI investing, the Crunchbase vs PitchBook answer depends on the stage you invest in and the output you need.
Where Crunchbase wins
Crunchbase is the cheaper way to explore a new AI niche. It lists more than 5,100 micro-industries as of May 2026, and its Market Insights mark industries and micro-industries as growing or declining, with a weekly refresh.
Pro includes private company forecasts and valuation insights. Treat those as a first screen and test them against companies you know before leaning on them.
A free account also gets you MCP access with usage limits. For a scout or founder who wants to query company data from Claude or ChatGPT, that is the lowest-cost way to try the workflow.
Where PitchBook wins
PitchBook is stronger on late-stage AI deal economics. Its Valuation Estimates launched on February 11, 2026, cover more than 15,000 VC-backed companies, and refresh daily. Its VC Exit Predictor was extended in July 2026 to forecast when companies will exit.
Comparable rounds, cap tables, and fund performance sit in one product, which saves a growth investor or LP from rebuilding them by hand. On October 14, 2026, PitchBook launched an agentic platform assistant and its Data MCP, so its data can now reach AI agents too.
What to test on both
Neither vendor’s public pages describe a way to separate AI-native companies from software companies that added an AI feature. Run this test before you sign. Take 20 AI companies you know, mixing foundation-model labs, AI-augmented software, and thin wrappers, and see how each tool categorizes them.
Then run one screen you do every week on each product and count how many results you would have to throw out. That number is a better guide for an AI-only fund than any feature list.
Who Should Use Which
Role and budget should decide this more than feature checklists.
Use Crunchbase if: you’re a founder tracking competitors, a sales or BD team prospecting, a journalist checking a round, an early-stage scout, or an analyst on a tight budget. Start on the free account. Move to Pro when you hit the limits, and budget $948 a year once the first-year offer ends.
Use PitchBook if: you’re a VC or PE analyst running diligence, a banker pulling comps, an LP underwriting a fund, or a corporate development team modeling an acquisition. Fund returns, LP records, and cap tables are the reason to pay for it.
Use both if: your team spans sourcing and diligence and the budget allows. See our best deal sourcing tools for VCs for how they fit a wider stack, and our PitchBook review for more on that platform.
Factor in seat count before you commit. Pro is a single seat, and Business starts at two.
Frequently asked questions
Is PitchBook better than Crunchbase?
PitchBook is better for diligence, benchmarking, and LP work because of its fund returns, LP records, and cap tables. Crunchbase is better for scouting and prospecting because it is cheap and you can start without talking to anyone. Your workflow should pick the tool.
How much does PitchBook cost per year?
PitchBook does not publish a price. Its pricing page says cost depends on seats, firm type, and premium extras such as Direct Data or CRM integration, and you get a number from a representative. Figures elsewhere online are third-party estimates that PitchBook does not confirm, so rely on a written quote.
Is Crunchbase worth the money?
Pro is worth it if you use it weekly for scouting or prospecting: $588 for the first year on annual billing, then $948 at the $79 list price. Sales teams that need CRM connections have to go to Business, from $199 per month billed annually ($2,388 a year). For institutional diligence, Crunchbase doesn’t replace PitchBook.
What is the difference between Crunchbase and PitchBook?
Crunchbase counts 6M+ companies, publishes most of its pricing, and offers a free account and a self-serve Pro plan. PitchBook’s homepage counter shows about 14.0M companies, its pricing is quote-only, and it adds fund returns, LP records, and cap tables. Crunchbase offers low-cost access, and PitchBook offers diligence-grade data.
Do VCs use Crunchbase or PitchBook?
Some use one, some use both. PitchBook says it has more than 100,000 clients and aims the product at sophisticated investment professionals. A small fund can start on Crunchbase Pro and add PitchBook when LP reporting or formal benchmarking calls for it.
Which is better for AI startup research, Crunchbase or PitchBook?
Crunchbase suits early exploration, with 5,100+ micro-industries, trend signals, and low-cost access. PitchBook suits late-stage work, with daily Valuation Estimates on 15,000+ VC-backed companies and research on Anthropic, Databricks, OpenAI, SSI, and xAI. Run your own AI screen on both before you buy.
Is there a free alternative to PitchBook?
The closest free option is a Crunchbase account, which includes company profiles, search results, AI-powered research, and MCP, with usage limits. It does not list fund returns or LP records. If you need those, expect to pay for them. PitchBook itself offers a trial on request, with no free tier.
How accurate is Crunchbase data?
Crunchbase says it combines AI grading with human validation and draws on partners, contributors, news outlets, and government filings. Accuracy still varies by record, and the file has grown by about 2 million companies this year. For high-stakes diligence, check key fields against primary filings or the company itself.
About the author
Editorial Staff
The Editorial Staff at Bot Memo is a team of writers, analysts, and AI agents dedicated to mapping the global AI startup ecosystem. Led by Chintan Zalani, the team tracks thousands of funding rounds, classifies companies across verticals, and distills it all into actionable intelligence for investors and founders.
