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DeepTech Sandbox Navigator
3.55
Derivation Chain
Step 1
Launch of national science & technology innovation fund
→
Step 2
Deep-tech regulatory barriers
→
Step 3
Regulatory sandbox application support tool
Problem
Deep-tech startups funded by government science & technology funds (drones, autonomous vehicles, biotech, etc.) must commercialize novel technologies that don't fit existing regulatory frameworks, often requiring regulatory sandbox applications (ICT, industrial convergence, etc.). However, it takes 1–2 months just to figure out which sandbox to apply to and what the requirements are, and the application failure rate exceeds 60%.
Solution
Enter your startup's technology and business model, and the system automatically recommends the appropriate regulatory sandbox type and provides step-by-step application guidance: (1) Match the right sandbox type (ICT/industrial convergence/fintech, etc.) based on your tech and business model, (2) Application writing guide based on past approved cases, (3) Auto-generate a draft application.
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 (73%)
Data Availability
23.3/25
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 (57/100)
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]