B

Domestic AI Model Migration Guide

2.70

Derivation Chain

Step 1 Super-aging medical AI + domestic model availability as key factor
→
Step 2 Domestic AI model ecosystem growth
→
Step 3 Overseas-to-domestic AI model migration cost and risk simulator

Problem

When Korean companies consider switching from overseas models like GPT-4 to domestic models (Upstage Solar, Naver HyperCLOVA, etc.), it is difficult to independently benchmark performance differences, cost changes, and Korean-language quality comparisons. Failed migrations carry high service quality degradation risk, and a PoC alone consumes 1–2 months of a single engineer's time.

Solution

Upload your current overseas model API call logs, and the system automatically runs identical inputs across 3–5 domestic models, providing quantitative comparisons of quality, speed, and cost. Offers cost simulations and migration risk scores for different scenarios (full migration, hybrid, fallback).

Target: CTOs at Korean SaaS Startups (5–30 employees) currently using overseas LLM APIs, public sector AI adoption officers (responding to domestic model preference policies)
Revenue Model: Migration analysis Report at $215 per report, monthly monitoring (domestic model performance tracking) at $140/month. Public sector package at $1,120/quarter.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (74%)

Tech Complexity
34.7/40
Data Availability
19.4/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (59/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Data Pipeline [low] Frontend [low]
Dashboard