A multinational aerospace, and defense technology company with a vast patent portfolio of over 20,000 live patents, is overcoming the challenge of monitoring intellectual property encroachment and pruning their patent portfolio by engaging with PatentSense. Traditional keyword-based methods are impractical and costly due to the volume of patents and resource requirements. With the PatentSense AI system, the company is achieving faster and more accurate identification of potential infringements, and valuable patent pruning insights, optimizing their IP monitoring process. By leveraging PatentSense AI technology, the company is streamlining their operations, reducing costs, and ensuring the protection of their valuable patents. This case study exemplifies the company's commitment to innovation and their proactive approach to safeguarding intellectual assets.
A cybersecurity company utilized PatentSense for patent analysis and defense. Facing a patent examiner's objection, the company leveraged the PatentSense AI system to assess the strength of their patent application. The AI-based analysis compared the company's patent with cited prior art, identified similarities and differences, and generated a predictive analysis of success. The results empowered the company to make informed decisions, optimize resources, increase success rates, and achieve time efficiency. This case study showcases the value of PatentSense AI in patent analysis and strategic decision-making.
IP cluster mapping visualization
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