Prioritize and Rank Patents
Sagacious IPs Patent Ranking Tool is an innovative way of ranking patents through quality indicators. Our in-house patent ranking tool automatically prioritizes patents for manual analysis required for any specific business objective. Gain insights through the patent ranking algorithm that does a qualitative analysis to arrange patents as per their priority.
Qualitative Analysis For A Thorough Result
In-House Patent Ranking Tool at Sagacious IP
In a quest to better serve the IP industry, Sagacious IP has developed a ranking tool that utilizes the quality indicating parameters to gain quality insight before investing manual efforts in analysing them. The patent ranking algorithm analyses the patents based on their quality and arranges in a prioritized order to achieve various business objectives.
Patent professionals find this algorithm suitable to gain insights for different business needs or objectives:
- Identify top patents from a portfolio for:
- Licensing
- Sales
- Pruning
- Acquisition
- Valuation
- Identify top patents from an industry for acquisition
- Identify patent owners from an industry for:
- Merger & Acquisition
- Collaboration
- Achieve patent strength analysis from:
- Portfolio
- Multiple portfolios – Competitive analysis through relative ranking
Why Us?
At Sagacious IP, we use different tools to conduct patent ranking. Prime reasons why our clients trust us:
- Customizable to achieve various business objectives
- Ease in handling
- IP experts are well adept to understand the insights generated through the tool
Case Studies/Success Stories
Success Story 1
A US-based video codec patent pool utilized patent ranking for mining the new contributors to their pool. The video codec industry has a vast range of patents and a detailed patent landscape to identify the contributors going over-budget.
Success Story 2
A US-based server company wanted to mine the patents from their portfolio that can be utilized to initiate a new licensing campaign. The portfolio was over 10K patents and mining good patents from it was a real challenge. We ranked the patents with their parameters indicative of licensing to get a prioritized list for manual analysis.