AI Pitch Deck Review
Drop your deck in. Four rival AIs tear it down the way investors will, debate every weak slide, and hand you back the stronger version — before the meeting.
Slide-by-slide critique plus the objections you must pre-empt.
Signed off by an independent Final QA audit — with a “verify before you rely on this” list, never a black box.
Why this team
A pitch survives or dies in the partner meeting you are not in, so the council recreates it: the Sceptical Investor asks what makes this a fund-returner, the CFO and Data Skeptic pull apart the numbers slide by slide, and the MBA checks the market-size logic against how TAM actually gets challenged. The Storyteller judges the arc — because decks fail as stories more often than as spreadsheets — and the Devil’s Advocate reads every slide the way the most hostile partner in the room will.
Each seat runs on a different frontier model — GPT, Claude, Gemini, Grok — so it’s a genuine cross-model review, not one AI in costumes. How a run works →
What the debate sounds like
An illustrative excerpt — A pre-seed team raising $750k for a compliance-automation tool has a deck whose traction slide shows 40 pilot users, none paying, and a TAM slide claiming an $18bn market.
Slide seven is the meeting-ender: forty pilots and zero revenue reads as forty people too polite to say no. Either two of those pilots convert to paid letters-of-intent before you pitch, or the story must change from “traction” to “learning” — pitching learning as traction is the one framing a partner never forgives.
The $18bn TAM is top-down from an analyst report and everyone in the room will know it. Bottom-up from the deck’s own numbers: the target segment is mid-size firms in one regulated vertical, at a stated price point — that arithmetic lands in the low hundreds of millions. Smaller, but it is defensible arithmetic, and defensible beats big.
Structurally the deck buries its best asset: the founder spent six years running compliance at exactly the kind of firm being sold to, and that appears on slide eleven. The arc should open there — the person who lived the problem — because at pre-seed the team slide is the traction slide.
Questions
What form should the deck be in — can I paste slide text?
Attach the deck or paste it slide by slide, and include the real numbers even where they are unflattering — the teardown protects you in the meeting only if it saw what the partner will see. State the raise, the stage and what the money buys, since the bar shifts sharply between pre-seed and Series A.
Does the output tell me what to fix or just what’s broken?
Both, slide by slide: a severity-ranked fix list, the single weakest slide named, and the three hardest questions a partner will ask with the answers you need ready. The point is that the first time you hear the killer objection should not be in the meeting.
My deck is honest but boring — can this fix the story?
That is specifically why the Storyteller has a seat. The most common structural finding is an arc problem — the founder-market-fit buried late, the tension missing, facts listed instead of built — and the synthesis proposes the re-ordering, not just the observation.
Your material is used only to run your review — never to train public models. Encrypted in transit and at rest. Security & privacy →
Want full control — pick your own minds, set the depth? Open the full council →