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With the AI security market surging—exemplified by Igloo Corporation's 163% operating profit jump driven by AI core technology—approximately 200 Korean security startups developing AI anomaly detection and threat analysis products must differentiate their technology without infringing existing enterprise patents. Patent research and design-around strategies cost $3,700–$15,000 per case in patent attorney fees and take 2–4 months.
Automatically collects and classifies domestic and international patents in the AI security domain. Users input their technology keywords to receive similar patent lists, infringement probability scores, and design-around recommendations. Visualizes patent maps (patent density by technology area) to identify white-space opportunities.
| 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. |