The AI Fundraising Agent
You stay in control. The agent does the work.
Free to start — sign up in 30 seconds. Your deck stays private.
What we do
Analyzes your deck
Slide-by-slide critique. Narrative gaps. Comp rounds at your stage.
Matches you to 17K investors
Ranked by actual fit. Stage, sector, check size, who's deploying right now.
Drafts investor briefs
One-page founder briefs with your traction, narrative, and ask. Shareable link.
Drafts your outreach
Per-investor angle. Warm-intro path if one exists. Approve and send.
Preps every meeting
Brief on the investor, prior conversation notes, what they'll probe.
Debriefs after each call
Captures what they asked, what they liked, what they passed on. Updates your pipeline.
Tracks your pipeline
Every status, every commitment, every follow-up. Auto-updated from your conversations.
Closes the round with you
Term sheet review. Term comparison. Comms with the room. The whole close.
See it work
who do I owe a reply to?
Why the agent exists
The pitch is 10% of the raise. The pipeline is 90%. The boring 90% is where rounds get killed — slow follow-ups, missed signals, dropped threads, sloppy debriefs. The agent runs the 90%. You handle the 10%.
A CRM (Streak, HubSpot, Affinity)
Tracks what you've already done. Doesn't decide what to do next.
A database (PitchBook, Crunchbase)
Hands you a list. You write the messages and run the pipeline.
ChatGPT
Will draft you anything. Doesn't know your investors or your pipeline.
DocSend
Tells you who opened the deck. Doesn't tell you what to send next.
A spreadsheet + Gmail
The default. Falls apart by investor 30.
How it's built
The data layer. SEC filings, accelerator directories, investor registries, traction signals — standardized, cross-referenced, and updated continuously. Free and open source.
Match. Brief. Send. Track. Close. The founder-facing AI fundraising agent. Analyzes your deck, ranks the right investors, drafts briefs and outreach, tracks every reply, debriefs meetings, and closes the round with you. Every raise that runs through it makes the next one sharper — observed-truth data on who actually writes checks, how long they take, and what makes them move.
Query raise(fn) from anywhere. Your assistant gets read-access to your raise(fn) data — pipeline, briefs, matches, meeting notes. Ask in natural language; data flows from raise(fn). MCP-compatible. Founders and investors both supported.
The flywheel
More founders raise → real outcome data
Every raise generates data no model can train on — who responded, who passed, who led, what terms closed. The agent calibrates on results. That dataset doesn't exist anywhere else, and every raise that runs through raise(fn) makes the next one sharper.
More data sources → harder to replicate
SEC filings, accelerator directories, investor registries, traction platforms — each with custom ingestion, normalization, and cross-referencing logic. Copying one source is easy. Copying the signal that emerges from combining them is not.
Persistent context → switching costs
The agent remembers your raise — metrics, investor conversations, pitch iterations, every conversation in your pipeline. Walk away and you start from zero somewhere else.
Other agents connect → infrastructure lock-in
When ChatGPT, Claude, or a custom agent connects to raise(fn) for fundraising data, raise(fn) becomes infrastructure. Ripping out a working integration is a cost nobody pays voluntarily.
The data layer
No AI model has this data. It doesn't exist in any training set.
It's live, it's comprehensive, and it's the foundation everything else is built on.
290+
Live sources
Real-time
No delays, no batches
Ground truth
The data AI models don't have
Built for
Founders raising
The agent runs your raise — matches, briefs, outreach, follow-ups, close. You stay in the room. Use it for your raise, not forever.
Investors connecting
Be in the network the agent recommends from. Plug your own ChatGPT or Claude in to query deal flow, draft notes, follow up — your tools, your data.
Tools building
MCP-compatible. Embed raise(fn) data + agent capabilities in your product. One connection, full raise coverage.
Where this goes
Today
The agent runs your raise. Every raise that runs through it makes the next one sharper — observed-truth data on who actually writes checks, how long they take, and what makes them move.
Next
Deeper integration with your stack. Gmail and Calendar so the agent sends from your inbox, schedules from your calendar, debriefs from your meetings — your tools, the agent's reach.
Then
raise(fn) becomes the layer that powers fundraising AI. Any agent, any assistant, queries raise(fn) for what they need underneath.
Free to start. No credit card. The agent gets to work the second you upload.
Your deck stays private. Never shared. Never used to train.