B

6G Patent Portfolio Analyzer

2.50

Derivation Chain

Step 1 ETRI 6G communications technology international presentation
→
Step 2 Accelerating 6G standardization competition
→
Step 3 Demand for 6G Standard Essential Patent (SEP) analysis
→
Step 4 6G SEP portfolio automated analysis SaaS

Competitor references

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

Problem

Domestic telecom equipment and component companies (50–500 employees) need to pre-analyze whether their patents qualify as Standard Essential Patents (SEPs) as 6G standardization progresses, but mapping correspondences between 3GPP standard documents and their own patent claims costs 2–5 million KRW (~$1,500–$3,750) per patent and takes 2–4 weeks per Patent attorney. Delays in building an SEP portfolio put companies at a disadvantage in licensing negotiations and result in lost 6G royalty revenue opportunities.

Solution

Cross-analyze 3GPP standard documents (Technical Specifications) against company patent claims using an LLM to automatically score SEP eligibility. Generate portfolio strength/weakness Reports benchmarked against competitors (Samsung, Qualcomm, Huawei, etc.) and recommend filing strategies aligned with standardization meeting schedules.

Target: Patent/IP strategy teams at telecom equipment and component companies (50–500 employees), telecom-focused Patent firms
Revenue Model: SaaS Monthly Subscription at 890,000 KRW (~$668)/enterprise account, including 50 Patent analyses/month. Overage at 10,000 KRW (~$7.50)/analysis. 15% discount for annual contracts
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
2.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.4/25
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 (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

AI/ML [medium] Backend [medium] Frontend [low]
Dashboard