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When SME IT decision-makers evaluating AX (AI Transformation) solutions try to compare domestic AX vendors (AI OCR, chatbots, predictive analytics, etc.), they must individually verify each vendor's features, pricing, and references through meetings and proposals — spending an average of 4-8 weeks and 120+ staff-hours on vendor selection alone. A wrong vendor choice incurs switching costs of 20 million KRW (~$15,000) or more.
Enter your industry, company size, and target deployment area (OCR, chatbot, predictive analytics, etc.) to receive automatic recommendations of 3-5 matching vendors from a domestic AX vendor database, along with structured reports including feature comparison tables, price ranges, user review summaries, and reference cases.
| 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. |