B

AI Data Center Site Regulation Map

2.70

Derivation Chain

Step 1 Policy to decentralize AI data centers away from Seoul metro area
→
Step 2 Regional data center construction operators
→
Step 3 Automated regulation and incentive mapping tool for regional data center construction

Problem

To decentralize AI data centers away from the Seoul metropolitan area, local governments are offering various incentives (tax breaks, power subsidies, land provision), but comparing each municipality's conditions (power intake capacity, cooling water availability, access roads, zoning designations) requires contacting dozens of local governments individually, resulting in 6–12 months for site selection and consulting costs of $75,000–$225,000.

Solution

Build a unified database of data center-related regulations (zoning, environmental impact assessments, power intake), incentives (tax breaks, subsidies, land), and infrastructure (power, cooling water, network) conditions across all municipalities nationwide. Users input their requirements and receive a ranked list of recommended sites.

Target: Cloud operators and Enterprise infrastructure teams evaluating AI data center construction, as well as specialized data center developers and architects
Revenue Model: Basic search free (top 3 municipalities), detailed comparison Report at $375 per transaction, consulting Subscription at $225/month (monthly regulation change updates)
Ecosystem Role: Regulation
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
V Validation
3.0/5
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 (55%)

Tech Complexity
24.7/40
Data Availability
18.8/25
MVP Timeline
12.0/20
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 (57/100)

Competition
8.0/20
Market Demand
3.8/20
Timing
18.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

Data Pipeline [high] Backend [medium] Frontend [low]
Dashboard