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As government AI procurement expands, submitting AI model performance test reports (accuracy, bias, security, etc.) has become mandatory. However, the AI Basic Act requires 20+ test items, each with different measurement methodologies, so it takes SME AI companies 2-3 weeks to prepare a single test report, or $3,750-$7,500 (~5-10 million KRW) when outsourced. Missing test items or measurement errors risk procurement rejection.
Connect an AI model with test datasets to automatically run performance, bias, and security tests compliant with the AI Basic Act and government procurement standards, generating standardized test reports in PDF format. Built-in test item checklists and measurement methodology guides prevent omissions.
| 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. |