B
Dual-Use Export Control Self-Checker
3.15
Derivation Chain
Step 1
Civil-military technology cooperation pitch day
→
Step 2
Expansion of dual-use technology exports
→
Step 3
Self-assessment tool for export control classification
Problem
Startups commercializing dual-use (military-civilian) technologies through civil-military technology cooperation must apply to the Strategic Trade Control Center for pre-classification to determine whether their products are controlled items before exporting. This process takes an average of 4-6 weeks. Without being able to pre-assess classification status, startups miss export contract windows or waste time filing unnecessary classification requests for non-controlled technologies.
Solution
Provides a structured database of the Strategic Trade Control Consolidated Notice technical items + automatic matching of control items and likelihood scores when users input their technology specs + auto-generation of pre-classification application drafts.
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. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (72%)
Data Availability
23.1/25
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 (51/100)
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]
AI/ML [medium]
Frontend [low]