온체인 저작권 등록·증명 인프라 + 디지털 자산 무단 사용 모니터링
컴플라이언스 체커 SaaS 카테고리의 AI 콘텐츠 저작권 틈새
크리에이터가 수작업으로 라이선스를 관리하는 비효율 — AI 콘텐츠 확대로 문제 가중
Marketing and content teams cannot assess copyright protection, training data source risks, or platform-specific AI content policy differences when commercially using AI-generated images and text, so they publish with legal risk.
Upload AI-generated content and input the AI tool/model used; the system automatically checks the tool's license terms, copyright protection status by jurisdiction, and compliance with major platform policies, then generates a risk report.
| 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. |