Overview
A USA-headquartered, global semiconductors and chipsets manufacturing corporation with an active patent portfolio of thousands of patent assets, some of which are designated as core patents for their respective technology areas.
Challenges and Objectives
Challenges
Reviewing a large dataset is time-consuming and resource intensive
Efficient identification of key patents through AI for manual evaluation
AI alone struggles with complex tasks like interpreting figures, chip architectures, and signal flow diagrams
Objectives
Efficiently map patents to relevant products
Ensure high accuracy and depth of analysis
Create claim charts with precise interpretation of product data
Problem Statement
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Analyze the patent portfolio using AI
Analyze a portfolio of 300+ patents to identify the best potentials for monetization.
Identify Potential Infringers
Identify companies and their products that patents could map to, from a pool of over 100k relevant products.
Analyze the patent portfolio using AI
Prepare claim charts against best matches using AI and validate them with relevant subject matter experts.
Solution: AI + Human Expertise
TTC/XLSCOUT Solutions
TTC teams leveraged XLSCOUT
AI technologies to minimize
manual workload, reducing
the effort needed to pinpoint
the most relevant products to
target and to generate claim
charts to review and refine.
XLSCOUT AI Technology | TTC Human Expertise |
| Ranked patents against a massive product pool, narrowing focus | Bridging AI gaps where it struggled (e.g., analyzing diagrams, chip architectures, and datasheets) |
| Generated AI-powered charts for initial analysis framework | Refining AI-generated insights for accuracy and completeness |
Impact & Results
Optimized Resource Allocation
Experts focused on high-value analysis rather than exhaustive manual reviews
Faster, More Accurate Analysis
AI dramatically reduced the time spent on initial patent-product mapping.
Improved Decision-Making
Human intervention corrected and refined AI results, leading to high-confidence insights.
Quick License Negotiations
The client could enter into new license negotiations quickly.
Conclusion
To sustain and scale the value delivered, the following strategic steps are being continued post-engagement:
- Deploying AI agents to continuously track new product launches by key targets and automatically map them against the client’s patents.
- AI agents to consider partially mapped claims and suggest claim modifications supported by patent specifications to get a better read on the products.
- Analyzing the next set of hundreds of patents to identify new monetization opportunities.
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