AI that works the raise, not the buzzword

Pitchroom uses AI at seven specific points in a fundraise: preparation, targeting, research, outreach, engagement, non-dilutive funding and updates. It drafts, scores and researches. You decide and you send.

Free plan with no time limit · EU-hosted and GDPR compliant

What is AI fundraising?

AI fundraising is the use of artificial intelligence to do the mechanical work of raising startup capital: scoring investors for fit, researching funds before you pitch them, drafting outreach and updates, and reading engagement signals, while the founder makes every decision.

In Pitchroom, that means AI scores your pitch deck, matches you with investors from a database of 20,000+, researches any fund with sourced reports, drafts your outreach, reads how investors engage with your deck, finds non-dilutive funding, and drafts your investor updates. It never sends anything and it never decides anything. You do.

The lifecycle

Where the AI actually works

Seven stages of a raise, and what the AI does at each one. Every row maps to a module that is live in the product today.

Features marked Beta are live in the product today; we label them while we tune them.

Deep dive: Investor Smart Match

A shortlist you can defend, not a database dump

Smart Match runs two passes over 20,000+ investors: deterministic scoring on stage, sector, geography and check size, then an AI ranking pass for the nuance. You get the 15 strongest fits, each with a 0-100 score, a clear reason and the one caveat to check. You stop spending weeks on funds that never write a first cheque at your stage.

  • Ranked, not listed: the 15 best fits first
  • A reason and a caveat for every match
  • Tuned to your live profile and round
Explore Smart Match
Smart Match
15 matches
SV

Solstice Ventures

92
AC

Atlas Angel Collective

84
MC

Meridian Capital

78
Deep dive: Reverse Due Diligence

Investors run due diligence on you. Run it on them.

Before you spend weeks chasing a fund, get an honest, sourced report: a verdict, a transparent fit score across stage, geography, sector, ticket size and thesis, whether they already back a direct competitor, and the terms and process to expect. Where the data is thin, the report says unknown instead of inventing a number.

  • A verdict backed by a transparent fit score
  • Competitor overlap flagged, with the implication
  • Null over guess: every material claim is sourced
See a sample report
Pitchroom
pitchroom.net

Reverse Due Diligence

PitchdriveInvestor Analysis

Verdict

Worth applying

0fit
Trust

AI you can put a cap table in front of

Your deck, your numbers and your investor pipeline are sensitive. Here is exactly how we treat them.

EU-hosted infrastructure

The platform runs on EU infrastructure: Scaleway in Amsterdam and DigitalOcean in Frankfurt. GDPR by construction, not by policy page.

Read the privacy policy

Your data is not training data

Your deck, your cap table and your investor pipeline are never used to train AI models. Our AI sub-processor is contractually prohibited from training on your content.

Read the DPA

Named sub-processors

Every AI provider we use is listed publicly, with its location and its legal transfer basis. No unnamed partners.

See the full list

Human in the loop by design

The AI drafts, scores and researches. It never sends, never commits, never decides. Every outbound action needs your click.

Read our EU AI Act statement
FAQ

Straight answers about the AI

Pitchroom's AI features run on Anthropic's Claude models. Every AI provider we use is listed on our public sub-processors page at pitchroom.net/subprocessors, with its location and transfer basis, and we update that page before adding or changing providers.

Take control of your raise. Get to yes faster.

Put the AI to work on the parts of fundraising that eat your weeks. Keep every decision for yourself.