Drive Constant Innovation with IPVectors.com

Simple, Highly Automated Process: The IPV application determines the CPC family and attention keywords and it finds the top scoring patents to analyze. These parameters can also be controlled by the user. 

IPVectors.com process optimizes the breadth of coverage through an automated and strategic selection of Cooperative Patent Classification (CPC) and International Patent Classification (IPCR) codes, ensuring a comprehensive range of relevant patents is captured, tailored to the domain of interest. Patent documents are then parsed into distinct sections—such as abstracts, claims, and descriptions—allowing for precise analysis. Utilizing BERT-based comparative scoring with adjustable thresholds, semantic similarities and differences across these sections are assessed, achieving high accuracy and reliability by filtering out noise and emphasizing significant patterns before large language models (LLMs) are applied for text generation to produce insightful summaries. These LLM prompts are meticulously tuned and optimized to target specific information domains—such as molecular biology, Information Technology and AI, Mechanical Engineering, and more—ensuring the most useful and actionable insights are generated for each field. This systematic approach surpasses traditional methods, striking a balance between precision and depth to yield actionable, context-rich insights. Furthermore, by integrating "attention keywords" from a Subject patent file as a benchmark, the analysis maintains focus and objective scoring, ensuring results remain consistently reliable and aligned with the specified objectives.

Unparalleled Efficiency and Cost Advantages

The approach to patent analysis achieves superior cost efficiencies by generating vector embeddings for the most relevant Cooperative Patent Classification (CPC) and International Patent Classification (IPCR) codes on demand, rather than pre-computing and storing embeddings for an exhaustive patent database. This targeted, real-time embedding process eliminates the substantial storage and processing overhead common in other solutions, which typically rely on extensive infrastructure to maintain and analyze broad, indiscriminate datasets. By concentrating computational resources solely on the classifications relevant to a specific query, the method delivers the most detailed, accurate, and comprehensive patent analytics at a fraction of the cost of competitors offering comparable breadth and depth. This efficiency results in a service so cost-effective that it makes unparalleled analytical power—once exclusive to high-end law firms paying thousands of dollars per report—accessible to a much wider audience, democratizing top-tier patent insights without sacrificing quality.