No usable source links are available for this idea. Its signal notes and scores need independent verification.
As large enterprises like SKT promote 'Full-Stack AI' and sell infrastructure-model-service packages, the IT teams of purchasing companies find it difficult to conduct their own due diligence on vendor lock-in risk, data sovereignty, SLA feasibility, and model performance verification. It takes an average of 2-3 months for technical review, and hiring professional consulting costs $15,000-$37,500.
Provides a structured due diligence checklist for AI vendors' technology stacks (infrastructure, model, service), and automatically scores risk items (vendor lock-in, data portability, SLA specificity, price transparency) when a vendor proposal PDF is uploaded. Also provides industry-specific reference comparisons and negotiation point guides.
| 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. |