B

AI Image Commercial Rights Clearing

3.70

Derivation Chain

Step 1 Google NanoBanana2 AI image generation model launch
→
Step 2 Explosion in commercial use of AI-generated images
→
Step 3 Pre-clearance of copyright/portrait rights risks for creators commercially using AI images

Problem

Solo creators and small design agencies (2-5 people) spend 30 minutes to 2 hours per image verifying whether AI-generated images used in ads, product packaging, and social media content infringe on existing copyrights or violate portrait rights of real individuals. Legal disputes can result in damages of 5-50 million won (~$3,750-$37,500), and cases of content takedowns and account suspensions due to unverified image usage are trending upward monthly.

Solution

(1) Reverse image search + similarity scoring to assess infringement risk when AI-generated images are uploaded, (2) Face detection cross-referenced against a real-person database, (3) Instant 3-tier commercial use verdict: 'Safe / Caution / Risk', (4) Usage history management for automatic generation of good-faith evidence in post-dispute scenarios.

Target: Solo creators, 2-10 person design agencies, and marketing agencies commercially using AI image generation tools
Revenue Model: Premium Model: Free 20 verifications/month, Pro 39,000 won (~$29)/month for 200 verifications, Agency 129,000 won (~$97)/month for unlimited
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
3.0/5
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 (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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 (59/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
18.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
12.0/15
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

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