Upload your pitch deck PDF. Get scored across 7 VC dimensions and benchmarked against 3,000+ competition-winning decks from YC, Sequoia, and Techstars. Evidence-based. Deterministic. In under 3 minutes.
The same 7 dimensions VCs use to evaluate every deck — applied consistently, benchmarked against funded startups, with no subjective scoring variance.
TAM/SAM/SOM evidence, growth rate, timing thesis
MRR, ARR, growth rate, retention, paying customers
LTV, CAC, payback period, gross margin
Channel clarity, CAC by channel, sales motion
IP, network effects, switching costs, moats
Domain expertise, execution track record, completeness
Differentiation clarity, competitor awareness, positioning
Percentile ranking vs funded startups in your sector and stage
AI pitch deck scoring is not about formatting or design. It's about evidence density. Every claim on every slide is evaluated against the same standard VCs apply in the room.
| ❌ Aspirational Claim (scores near zero) | ✅ Deterministic Evidence (scores high) |
|---|---|
| "We are growing fast with strong momentum" | "$42K MRR, 18% MoM growth for 6 consecutive months" |
| "We have a strong pipeline of enterprise customers" | "3 signed LOIs from Fortune 500 companies, $1.2M TCV" |
| "Our unit economics are improving" | "CAC $180, LTV $2,400, 13-month payback. LTV:CAC = 13.3x" |
| "Customers love our product" | "NPS 71, 94% retention at 12 months, 3 published case studies" |
| "We are targeting a $50B market" | "$4.2B SAM (IBISWorld 2025), 12% CAGR, 3 named competitors with public revenue" |
| "Our team has deep industry experience" | "2x YC founders, prior exit $38M, domain expertise 11 years" |
No subjective scoring. No pattern-matching bias. A deterministic pipeline that evaluates every deck with identical rigor.
Drag and drop your pitch deck PDF. OCR, text extraction, and section classification happen automatically.
Industry detection, funding stage classification, and peer group identification against 250+ benchmark companies.
Seven-dimension evaluation with RAG-augmented context, evidence verification, and cross-dimension credibility checks.
Peer percentile ranking against 3,000+ competition-winning decks. AI-generated deck detection. Full audit trail.
Based on analysis of 3,000+ competition-winning decks from YC, Techstars, and Sequoia. The patterns are consistent and not what most founders expect.
The most common reason traction slides score low is not missing numbers — it's presenting metrics in aspirational language. "Revenue growing" scores near zero. "$84K MRR, +22% MoM" scores high. The evidence exists. The framing is wrong.
High-scoring decks include LTV, CAC, and payback period with specific figures tied to cohort data. Most decks omit these entirely. A deck that says nothing about unit economics scores zero on that dimension — not low, zero.
Almost every deck scores reasonably on Market Attractiveness because founders choose real, large markets. The differentiation happens on Traction, Unit Economics, and Product Defensibility — the dimensions most founders underinvest in.
Founders describe what their product does, not why it's defensible. High-scoring decks name specific IP, explain network effects quantitatively, or cite switching cost data. "Better than competitors" is not defensibility.
High-scoring team slides include specific domain years, named prior companies and outcomes, and explicit coverage of key functions. "Experienced team with deep expertise" scores near zero. Specific credentials score high.
Listing distribution channels is not a GTM strategy. High-scoring GTM slides include CAC by channel, conversion rates, and a clear sales motion with named enterprise customers or growth cohort data.
Full 7-dimension AI evaluation with benchmarking
Know exactly where your deck stands before you walk into the room.
Score My Deck — $29 →What high-scoring decks actually look like — benchmarked against YC, Sequoia, and Techstars winners.
View examples →Complete documentation of the scoring methodology, evidence auditing, and peer benchmarking system.
Full overview →