B

AI Video Frame Ethics Reviewer

3.40

Derivation Chain

Step 1 AI video generation in diplomacy/politics
→
Step 2 Proliferation of AI video production tools
→
Step 3 Automated frame-level ethics and legal risk review for AI-generated video

Problem

Agencies (5-30 people) using AI-generated video in politics, diplomacy, and marketing manually review portrait rights violations, deepfake disclosure requirements, and culturally inappropriate expressions before publication. Legal and ethics review takes 2-4 hours per video (3 minutes), and litigation risk from review oversights can reach tens of millions of KRW (~$7,500+) per incident.

Solution

Analyzes AI-generated video frame by frame to automatically detect potential portrait rights violations, missing deepfake disclosure labels, and culturally inappropriate content, generating a timestamped risk Report. Includes automatic AI-generated content watermark insertion.

Target: PR/advertising agency production teams; political party and local government PR managers
Revenue Model: Per Transaction Billing at 30,000 KRW (~$22.50) per video (under 5 minutes); Monthly Subscription at 200,000 KRW (~$150)/month (30 videos included); additional videos at 15,000 KRW (~$11.25) each
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
2.0/5
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 (60/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
20.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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