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AI Startup VC Screening Mock Evaluator

4.00

Derivation Chain

Step 1 Expansion of AI Startup support programs (IBK, etc.)
→
Step 2 Intensifying competition for AI Startup fundraising
→
Step 3 Pre-screening diagnostic and pitch optimization tools for investment evaluations

Problem

Seed-to-Series A stage AI Startups (1-10 people) face document rejection rates of over 70% when applying to VC and accelerator screenings due to insufficient understanding of evaluation criteria (technical differentiation, market size, team capabilities, business model). Revising pitch decks takes an average of 3-4 weeks, and external consulting costs 3-5 million KRW (~$2,250-$3,750).

Solution

Upload your business plan or pitch deck to receive automated scoring and improvement feedback for each criterion based on publicly available evaluation standards from major VCs/accelerators (IBK 1st LAB, SparkLabs, BonAngels, etc.). Features include similar investment case matching and pitch simulations (anticipated question generation).

Target: CEOs/COOs of seed-to-Series A AI Startups, teams of 1-10 people preparing for fundraising
Revenue Model: Per-analysis at 39,000 KRW (~$29)/pitch deck + Premium Subscription at 99,000 KRW (~$75)/month (unlimited analyses + pitch simulation + comparable case Report), 30% discount on annual billing
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (73%)

Tech Complexity
29.3/40
Data Availability
23.3/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] AI/ML [medium] Frontend [low]
Dashboard