IP Valuation Demo

Pre-loaded sample cases showing how the valuation engine responds across different IP development stages. For a real IP assessment with verified market data and documented evidence, use the guided wizard.

MoChi Bear (Demo Case A)

Blind Box Collectible · Stage IV (Rapid Expansion)

Income Method
$22,787,519
Market Method
$3,460,000
Cost Method
$925,000
Blended Valuation
$13,836,666
Risk Tier: Medium Risk (Rule-Based) — High Method Divergence  | LTV: Subject to lender credit policy
Documentation coverage adjustment: ×1.05 (based on VGN 2 asset categories with supporting evidence)

Income and Market approaches diverge by more than 100%; this level of disagreement requires manual review of input assumptions before relying on either figure (This demo's sample size is N<5; per the master methodology, K-Means Preliminary/Certified output is withheld and this rule-based fallback is shown instead.)

PixelFox (Demo Case B)

Digital Character IP · Stage II (First Commercialization)

Scorecard Method + early quantitative proxy
$217,250
Cost Method (floor)
$168,000
Development Diagnostic Value
$214,018
Risk Tier: Scorecard Method + early quantitative proxy — Development Stage Diagnostic  | LTV: Not applicable at this stage
Documentation coverage adjustment: ×1.04 (based on VGN 2 asset categories with supporting evidence)

This stage is not yet eligible for formal bank valuation under HKIS VGN 2 / RICS recognized methods. This figure is a development diagnostic to guide the IP owner toward bankable maturity (Stage IV+), not a loan-eligible valuation.

Grandpa Cloud (Demo Case C)

Mature Licensing IP · Stage V (Mature Monetization)

Income Method
$49,405,613
Market Method
$14,525,000
Cost Method
$4,265,000
Blended Valuation
$33,261,516
Risk Tier: Medium Risk (Rule-Based) — High Method Divergence  | LTV: Subject to lender credit policy
Documentation coverage adjustment: ×1.04 (based on VGN 2 asset categories with supporting evidence)

Income and Market approaches diverge by more than 100%; this level of disagreement requires manual review of input assumptions before relying on either figure (This demo's sample size is N<5; per the master methodology, K-Means Preliminary/Certified output is withheld and this rule-based fallback is shown instead.)