B

AI Blueprint Compliance Checker

3.05

Derivation Chain

Step 1 AI design Startup Generait's global scale-up
→
Step 2 AI-generated architecture/product design tools
→
Step 3 Automated regulatory compliance checking service for AI-generated blueprints

Problem

Architecture firms (3–15 employees) using AI design tools spend 4–8 hours per drawing manually reviewing AI-generated blueprints against Korean Building Code, Fire Safety Act, and Accessibility Act standards. The repetitive work of correcting AI-generated drawings based on foreign standards to comply with Korean regulations consumes 15–20% of total project time.

Solution

Upload AI-generated design drawings (DXF/IFC) for automated compliance checking against Korean building regulations, with a non-compliance Report. Core features: (1) Drawing parsing + automated specification extraction, (2) Rule-based compliance assessment against Korean Building Code/Fire Safety Act/Accessibility Act, (3) Non-compliant item location highlighting + remediation guide.

Target: Architecture firms adopting AI design tools (3–15 employees), BIM managers
Revenue Model: Per Transaction billing — $22/drawing (~₩2.9만) per inspection, Monthly plan $150/mo (~₩19.9만) (30 drawings included), additional drawings $11 each (~₩1.5만)
Ecosystem Role: Regulation
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
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 (58%)

Tech Complexity
24.7/40
Data Availability
20.8/25
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 (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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

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