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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.
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.
| 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. |
| 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. |
| 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. |