Domestic companies and public institutions face increasing cases where AI-generated disinformation (deepfakes, bot-driven opinion manipulation) from overseas damages brand reputation and stock prices. They lack the multilingual processing and AI-generated content detection capabilities needed to monitor global social media and news independently, while external consulting costs $3,750-15,000 per engagement. In most cases, organizations only become aware of disinformation campaigns after they have already spread, missing the critical 24-hour response window.
Solution
Users register their brand/person keywords, and the system crawls global social media, news, and forums to automatically detect suspected AI-generated content and sends daily reports. Core features: (1) multilingual (Korean/English/Chinese/Japanese) AI-generated content probability scoring, (2) spread pathway visualization and bot network clustering, (3) automated alerts by crisis severity level with initial response templates.
Target: PR/IR managers at mid-sized companies (revenue $7.5M-375M) and local government PR teams
Revenue Model: SaaS monthly subscription at $367/brand (10 keywords), additional keywords at $22.50/month each, urgent analysis report at $225 per transaction
Ecosystem Role: Supplier
MVP Estimate: 2_weeks
NUMR-V Scores
N Novelty
3.0/5
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 Novelty
1-5
How uncommon the service is in market context.
U Urgency
1-5
How urgently users need this problem solved now.
M Market
1-5
Market size and growth potential from proxy indicators.
R Realizability
1-5
Buildability for a small team with realistic constraints.
V Validation
1-5
Validation signal quality from competition and demand data.
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (69%)
Tech Complexity
29.3/40
Data Availability
19.6/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity
/ 40
Difficulty of core implementation stack.
Data Availability
/ 25
Practical availability and cost of required data.
MVP Timeline
/ 20
Expected time to ship a usable MVP.
API Bonus
/ 15
Bonus for viable public API leverage.
Market Validation (62/100)
Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
3.0/10
Validation Breakdown
Competition
/ 20
Signal quality from competitor landscape.
Market Demand
/ 20
Demand proxies from search and mention patterns.
Timing
/ 20
Fit with current shifts in tech, behavior, and regulation.
Revenue Signals
/ 15
Reference evidence for monetization viability.
Pick-Axe Fit
/ 15
How well the concept serves participants in a trend.