B

Defense AI Contract SME Bidding Guide

3.25

Derivation Chain

Step 1 OpenAI defense department classified network AI contract
→
Step 2 Korea defense AI procurement market expansion
→
Step 3 SME AI companies' defense procurement entry barriers

Problem

A 50-something SME IT company CEO wants to enter the Ministry of Defense/DAPA AI procurement market, but security suitability certification (CC certification), defense specifications, decoding Korea On-Line E-Procurement System (나라장터) bid announcements, and proposal formats are scattered across different sites. First bid preparation alone requires 2-3 months of preliminary research, and SMEs without procurement experience miss opportunities because they can't determine eligibility even when they find announcements.

Solution

A web service that auto-collects defense/public AI procurement announcements and matches them against company profiles (certifications held, revenue, tech domain) to determine 'eligible/not eligible/conditional.' Core features: (1) daily collection of 나라장터/DAPA AI-related bid announcements with keyword filtering, (2) auto eligibility matching after company profile input (security certification, revenue criteria, tech classification), (3) guidance on acquisition procedures, estimated time, and cost for each unmet requirement.

Target: CEOs or business development managers aged 45-55 at SME IT/AI companies, revenue 1-5 billion KRW, no defense procurement experience, seeking B2G revenue growth
Revenue Model: Free announcement viewing. Premium 50,000 KRW/month (~$37.50): customized announcement alerts, eligibility matching report, proposal templates
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

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