Memory across revisions. The Coach can see the score movement, fix history, and deck context that led to the current recommendation.
PitchVault Coach
Most AI tools forget you the moment you close the tab. The fundraise is the one place that breaks you.
PitchVault Coach keeps the latest deck, score movement, fix history, Raise Plan work, and founder-shared context in view. The recommendation you get next can reflect what you finished, corrected, or verified on the last run.
What you actually see
The interface this page describes, as it appears in the product.
Sample Coach Thread
Example: four sessions over 19 days. Company details redacted.
← memory across time
Session 1 · March 14 · v1 score: 54
My VaultMoat is 28. Investors keep saying my moat is weak. What do I actually do?
PitchVault Coach
Your deck names AI-powered as the moat. That is a category, not a mechanism. Start by naming what compounds with usage, what gets harder to copy, or what a funded entrant cannot shortcut.
Session 2 · March 18 · v2 score: 61 (+7)
Score went up, but VaultMoat only moved 4 points. Why?
PitchVault Coach
You rewrote slide 9 around integration depth. That created a real switching-cost story, which is why the score moved. It did not clear because the cost is still unquantified. The score wants data, not a stronger sentence.
Session 3 · March 26 · v3 score: 68 (+14)
An investor passed and said the moat still feels thin. I just rewrote that slide.
PitchVault Coach
The moat slide moved. The investor is cross-referencing it with traction. A moat without traction proof still reads like a thesis. Fix slide 5 next if your numbers are clean.
Session 4 · April 2 · v4 score: 76 (+22)
I am investor visible. Should I send to my warm list now or wait?
PitchVault Coach
Send. The 22-point trajectory matters. Prepare one answer on CAC payback because VaultRisk is still flagged, and include the investor who passed in March. This version directly answers that feedback.
← memory card
What Coach used
The Coach pulled this context to answer the latest question.
Version 3 moat rewrite
Score movement: 68 → 76
Open Action Plan Step 2
Raise context: Seed, B2B SaaS
Honest guardrail
If the proof does not exist, Coach says the fix is evidence-dependent instead of helping you fake it.
What makes this different01 02 03
Three things you wouldn't get from a generic AI tool.
Questions tied to the work. Ask why a lens did not move, whether to send now, or what the next fix depends on.
Founder context carried forward. Stage, sector, geography, prior raises, and constraints stay in the loop once you share them.
The memory gap
Why generic AI fails fundraising
Generic AI starts from zero every time. Fundraising does not. Every revision builds on the last, and advice that forgets what changed yesterday is just another opinion from a stranger.
Who it's for
Founders revising a lot. Tired of restating the same context every time.
If you have revised a deck five times and your AI tool still asks who your customers are, this is the surface.
Connected pieces
