Classify Patents to Your Company’s Proprietary Taxonomy in Record Time with Unprecedented Accuracy Using AI
Guiding your company to a market leadership position requires an in-depth understanding of your patent portfolio and that of competitors – especially with emerging technologies. Many companies create their own patent classification taxonomies to have more specificity than public classification systems and to tailor to business goals.
Traditionally, the process of classifying public patent portfolios with your own proprietary taxonomy has been laborious and time-consuming. Understanding your competitors' patent portfolios in the same way has proved nearly impossible. But that’s about to change!
Faster & More Accurate Patent Classification
The Anaqua AI Patent Auto-Classifier, an AI initiative between Anaqua and the pioneering developer AnyGen AI, revolutionizes this process for IP teams by using a hosted Large Language Model (LLM) to automatically map internal and external patents to your company’s private classification system.
A process that traditionally takes hours of manual classification review can now be completed in minutes with up to 85-90% accuracy rates and minimal human effort. Read below to learn more and contact Anaqua for a demonstration.
Better Insights for Strategic Business Decisions
Anaqua’s AI Patent Auto-Classifier represents a significant step forward in increasing your IP team’s efficiency and providing more precise views of your patent portfolio and competing patents for more informed business decisions.
Your IP team will gain:
Improved Competitive Analysis: Apply your taxonomy to third party patents (pulled in from the AcclaimIP public patent database) for better insight into the competitive patent landscape to guide strategic positioning. You’ll be in a better position to assess risks and identify market positioning opportunities
Alerts: Map new competitive applications to your technology quickly for planning purposes
Better Insights into Your Own Portfolio: Quickly clean-up your internal portfolio classification to better understand your own innovation and provide more accurate insights to management
Secure, Fast & Highly Accurate
Anaqua’s AI Patent Auto-Classifier begins with your proprietary models which are applied against our Large Language Model which is trained on 35M patent families. The model is further refined to reflect your unique, private taxonomy to build a single multi-faceted classifier with minimal client set-up.
These models scale seamlessly to handle broad patent classification trees and are used to improve the quality of your internally classified patents and to monitor third-party patents classified from your company’s unique point of view.
Accuracy: The Large Language Model (LLM) has exceptional accuracy due to its ability to parse complex patent language and identify key technical concepts
Immediacy: Allowing automatic tagging of patents within your database by technology, product, or any other type of classification
Security: Models are securely maintained for each AQX customer, ensuring complete confidentiality. Your private classification data is only used to train your proprietary model
Refinement: Once set up, review results online and use a simple interface to indicate agreement or disagreement with the classifier. With this input, the AI Patent Classifier continually refines its understanding of each client’s unique patent taxonomy
The Value of Proprietary Patent Taxonomies
Anaqua works with IP teams around the world, many of which create their own patent taxonomies for better portfolio management and strategic planning purposes. The benefits of this approach include:
Specificity & Relevance: Public patent classification systems such as CPC ad PCC offer only broad categorization. Creating your own categorization allows for more specific analysis and competitive comparisons, especially in emerging areas which can take many months to be publicly classified.
Tailored to Your Company’s Business Objectives: Public classification systems offer only a one-size-fits-all approach. Creating a proprietary patent taxonomy enables your team to review patents in line with business goals and specific product initiatives. It also provides better focus on market trends and the ability to spot competitive advantages
Innovation Planning & Portfolio Management: While public classification systems offer a baseline, custom classifications allow your team to conduct precise analysis into new technology and areas of innovation for planning and identifying portfolio gaps
Risk Mitigation & Market Positioning: Without a finer level of patent classification specificity, you can better assess risks, identify market opportunities