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IP portfolios are among the most strategically significant assets companies hold, yet they remain among the hardest to value objectively. Kairos delivers a transparent, data-driven, fully automated valuation framework built on internationally recognized standards.
Patent portfolios represent some of the most economically significant assets on corporate balance sheets, yet valuation remains ad hoc, expensive, and manual. Traditional reports take weeks, rely on internal company data, and cost six figures, accessible only in the context of the largest transactions.
Mandates default to established incumbents as a form of "reputational insurance" against liability for weakly-supported opinions. Performance-driven competition is absent because no provider has yet combined superior data depth with automated, reproducible execution, positioning brand over methodological rigor.
Fundamentally data-driven execution of the license-analogy method: externally verifiable sources only, automated pipeline, per-patent precision. Continuous valuations, smaller portfolios, and ongoing advisory mandates become operationally and economically viable for the first time.
The model determines the hypothetical royalty payments a company would be relieved from paying if it owns its IP outright rather than licensing it from a third party. These avoided future payments, projected over each patent's own remaining statutory life and discounted at risk-adjusted capital costs, represent the monetary value of the intellectual property asset.
Each valuation runs through three sequential, fully automated stages, from IP quality assessment through revenue attribution to financial discounting. The result is a mathematically rigorous, bottom-up asset value at the individual patent level.
A purely quantitative fundamental analysis of IP quality and legal enforceability. The engine aggregates fully transparent, legally auditable indicators, combining historical and predicted forward citations, global jurisdiction coverage, and country-specific grant probabilities.
Validated patent data is linked to the RBICS standard (Revere Business Industry Classification System), approximately 1,000 granular business categories, via semantic embedding similarity between patent text and segment descriptions. This enables precise attribution between IP families and the specific product revenues they protect.
An integrated, automated DCF model computes the present value of technology-specific royalty streams. Financial validity is secured through real-time access to S&P Global datasets and current analyst consensus data. Each patent family's cash flows are discounted only over its own remaining statutory life.
Within 15 to 20 seconds, Kairos generates a standardized, authority-compliant valuation report. The highly granular bottom-up approach, combined with statistically grounded scenario analysis, provides a robust evidentiary foundation for any professional mandate.
Standardized, auditable report generated in 15–20 seconds. Up to 1,000× faster than traditional manual valuation, enabling continuous, recurring assessments at scale.
Meets IFRS accounting standards and OECD Transfer Pricing Guidelines. Immediately auditable for accountants, tax authorities, and financial regulators.
100% parameter disclosure. Every assumption fully documented. Per-lever sensitivity ranges and a Monte Carlo strength-weighting distribution provide a robust argumentative basis for any professional opinion.
PDF report per valuation run: portfolio overview with seven analysis charts and sensitivity ranges, or a per-patent breakdown with individual risk factor, strength score, and value attribution.
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