Apartment Fire Evacuation Simulator

2.70

Derivation Chain

Step 1 Apartment fire incident (Eunma Apartments)

→

Step 2 Safety inspection services for aging apartments

→

Step 3 Unit-level fire evacuation simulation SaaS

Problem

Residents of aging apartments (30+ years old) frequently miss the critical 3-minute golden time during fires because they don't know the optimal evacuation route from their unit. Complexes built in 1979, like Eunma Apartments, have fire truck access roads and fire compartments that fall short of current standards, but property management offices lack the capability to provide unit-specific evacuation guidance, leading to repeated casualties.

Solution

By simply entering the building and unit number, the service auto-generates a 3D evacuation route for that specific unit and visualizes the locations and status of fire safety equipment (sprinklers, descending lifelines, emergency exits). A management office dashboard enables bulk PDF Report export of evacuation simulation results for all units, ready for immediate use as legally mandated fire safety training materials.

Target: Fire safety managers at aging apartment complexes (20+ years since construction) with 1,000+ units in Seoul and the metropolitan area

Revenue Model: SaaS Monthly Subscription at $74/month per complex (500 units or fewer), $112/month (over 500 units). 20% discount for Annual Subscription. Additional per-unit Report export at $0.37 Per Transaction.

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

2.0/5

R Realizability

2.0/5

V Validation

3.0/5

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.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (68%)

Tech Complexity

29.3/40

Data Availability

19.2/25

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 (54/100)

Competition

10.0/20

Market Demand

20.0/20

Timing

10.0/20

Revenue Signals

4.5/15

Pick-Axe Fit

4.5/15

Solo Buildability

5.0/10

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.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

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

Dashboard