B
AI Virtual Ad Creative Management Hub
3.20
Derivation Chain
Step 1
Spread of AI virtual advertising technology
→
Step 2
Surge in demand for virtual ad creative production
→
Step 3
Integrated management of creative versions, rights, and review history
Problem
MCN and media commerce companies (5-20 employees) that run multiple AI virtual ads manage dozens to hundreds of ad creative versions, portrait rights contracts, review histories, and broadcast schedules using spreadsheets. This leads to 1-2 incidents per quarter such as creative mix-ups, unapproved broadcasts, and use of expired-contract creatives, with fines or legal dispute costs reaching millions of KRW per incident.
Solution
When virtual ad creatives are uploaded, it integrates version management, portrait rights contract status, review progress, and broadcast schedules. It automatically blocks and alerts when a contract is about to expire or an unreviewed creative is attempted for broadcast, and tracks review submission history on a timeline.
NUMR-V Scores
NUMR-V Scoring System
| 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. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (69%)
Data Availability
19.4/25
Feasibility Breakdown
| 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. |
Market Validation (54/100)
Validation Breakdown
| 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. |
Technical Requirements
Backend [medium]
Frontend [medium]
Infrastructure [low]