B

DeepTech Patent Value Meter

2.70

Derivation Chain

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

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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.
N=.15 U=.20 M=.15 R=.30 V=.20

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.

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.

Technical Requirements

Data Pipeline [medium] AI/ML [medium] Frontend [low]
Dashboard