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AI-driven system and methods for integrated patent valuation, marketability assessment, and prior-art intelligence

09.18.26 | Research Foundation for the State University of New York

This AI-driven system offers an advanced solution for evaluating patent originality, marketability, and prior art analysis through integrated data processing and semantic analysis technologies.

Background :

Inventors, patent agents, and attorneys often face challenges in comprehensively assessing the originality and commercial potential of patents due to the complexity and volume of existing intellectual property data. First-time inventors, in particular, require accessible and insightful tools to navigate the patent evaluation process effectively. Traditional methods of patent analysis are time-consuming and typically lack integration of market data, limiting the ability to fully gauge a patent's economic value and competitive positioning. The development of this technology was driven by the need for a unified, user-friendly platform that combines technical and market insights to support informed decision-making in intellectual property management.

Technology Overview :

This technology is an AI-powered system designed to ingest large-scale patent databases and transform patent records into vector embeddings, enabling efficient semantic similarity searches and advanced prior art analysis. The system features a multi-stage retrieval engine that systematically filters and retrieves relevant patent information, enhancing the accuracy and depth of patent comparison. A core component is the Product-Market Fit (PMF) scoring engine, which evaluates the commercial viability of patents by analyzing market signals and trends alongside technical data. The innovation incorporates third-party APIs to enrich data inputs and facilitate seamless integration into existing patent evaluation workflows. The system is tailored to accommodate a diverse user base, ranging from first-time inventors to seasoned intellectual property professionals, simplifying complex patent data and market analyses into actionable insights. By leveraging semantic analysis with large datasets and coupling it with market evaluation metrics, this technology not only assesses the originality and prior art but also forecasts market relevance and economic potential, addressing key gaps in traditional patent evaluation tools. It represents a comprehensive solution that bridges the divide between technical patent assessment and market-driven decision-making.

Advantages :

Applications :

Intellectual Property Summary : Patent Pending

Stage of Development : TRL 3

Licensing Status : This technology is available for licensing.

About the Research Foundation for the State University of New York:

As the nation's largest research foundation supporting the nation's largest public university system, The Research Foundation for SUNY powers research and innovation to address today's most pressing problems and shape a better future for generations to come. The Research Foundations supports SUNY researchers leading the way globally in AI for the public good, quantum technologies, next-generation semiconductors, biotech and medicine, energy and climate solutions, and more. The Research Foundation for SUNY is a private, nonprofit educational corporation that is tax-exempt under Internal Revenue Code (IRC) Section 501(c)(3). To learn more, please visit us online at rfsuny.org .

About the State University of New York

The State University of New York is the largest comprehensive system of higher education in the United States, and more than 95 percent of all New Yorkers live within 30 miles of any one of SUNY’s 64 colleges and universities. Across the system, SUNY has four academic health centers, five hospitals, four medical schools, two dental schools, a law school, the country’s oldest school of maritime, the state's only college of optometry, 12 Educational Opportunity Centers, over 30 ATTAIN digital literacy labs, and manages one US Department of Energy National Laboratory. In total, SUNY serves about 1.7 million students across its portfolio of credit- and non-credit-bearing courses and programs, continuing education, and community outreach programs. SUNY oversees nearly a quarter of academic research in New York. Research expenditures system-wide are nearly $1.5 billion in fiscal year 2025, including significant contributions from students and faculty. There are more than three million SUNY alumni worldwide, and annually one in three New Yorkers who earn a college degree is a SUNY alum. To learn more about how SUNY creates opportunities, visit suny.edu .

Keywords

Contact Information

Matthew Sheiffer
Research Foundation for the State University of New York
matthew.sheiffer@rfsuny.org

Source

This article is based on a news release from Research Foundation for the State University of New York. BrightSurf curates and republishes science news from research institutions worldwide; the original release is linked below.

How to Cite This Article

APA:
Research Foundation for the State University of New York. (2026, September 18). AI-driven system and methods for integrated patent valuation, marketability assessment, and prior-art intelligence. Brightsurf News. https://www.brightsurf.com/news/19NDVOR1/ai-driven-system-and-methods-for-integrated-patent-valuation-marketability-assessment-and-prior-art-intelligence.html
MLA:
"AI-driven system and methods for integrated patent valuation, marketability assessment, and prior-art intelligence." Brightsurf News, Sep. 18 2026, https://www.brightsurf.com/news/19NDVOR1/ai-driven-system-and-methods-for-integrated-patent-valuation-marketability-assessment-and-prior-art-intelligence.html.