B

DeepTech Patent Value Meter

2.70

Derivation Chain

Step 1 Launch of ₩763.2B (~$572M) Science & Technology Innovation Fund
→
Step 2 Supporting deep-tech startup investment readiness
→
Step 3 Automated patent portfolio valuation for investment reviews

Problem

Patent portfolio evaluation is a core criterion in science & technology innovation fund reviews, yet deep-tech startups struggle to objectively prove the technical and commercial value of their patents. External patent valuations cost ₩3–5M (~$2,250–$3,750) each, which is prohibitive for small startups. Evaluating just 5 patents takes 1–2 months, causing teams to miss investment windows.

Solution

Enter a patent number and the system aggregates citation counts, positioning within the technology field (claim map), differentiation vs. similar patents, and market-size proxy metrics to auto-generate a 'Patent Value Scorecard.' It exports VC-ready evaluation reports as PDFs and visualizes competitive patent positioning maps.

Target: Seed–Series A deep-tech startup CTOs/founders with 3+ patents
Revenue Model: Per Transaction: ₩39,000 (~$29) per patent analysis; 5-patent package: ₩149,000 (~$112); Monthly Subscription: ₩199,000/mo (~$150) for unlimited analyses
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
2.0/5
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 (68%)

Tech Complexity
29.3/40
Data Availability
18.8/25
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 (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
3.0/10
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] AI/ML [medium] Frontend [low]
Dashboard