Crowdsourced and social media ip search and analytics platform with startup/industry partnerships and virtual incubator/accelerator including automated patent valuation system

Abstract

The analytics embodiment uses artificial intelligence (AI), machine learning, predictive analytics and computerized analytics. The analytics embodiment generates patent analytics and intelligence to analyze and value patents. The analytics embodiment can have smartphone applications. Smartphone applications can provide notifications, alerts, reminders, etc. Smartphone applications can include key features, including navigation tools. The analytics embodiment can have a social media feature, so users can connect with each other (as in Facebook, LinkedIn, etc.) and/or follow other users (like in Twitter, LinkedIn and Medium). The analytics embodiment will facilitate crowdsource functionality for validity, relevance and valuation. A corresponding IP platform could allow startups to partner with big companies, to get mentorship and industry partnerships. This can help the startups with connections and eventually get acquired. This is common at incubators/accelerators. Therefore, we can add a virtual incubator/accelerator. The virtual incubator can have experts teach the startups and advise them on raising angel and venture capital money. Angel investors and venture capitalists can be guest lecturers and provide advice to startups. Teachers can help startups prepare paperwork to apply for government grants, such as small business and STTR/SBIR tech transfer government grants. Furthermore, a corresponding IP platform can have an automated patent valuation system. A user can enter 1. An individual patent or 2. A pool of multiple patents. Then, the IP platform will automatically calculate the patent valuation. The analytics embodiment is the IP platform search and analytics software system. Therefore, this automated patent valuation system can be part of the analytics embodiment. The automated valuation can show multiple different patent valuations, based on different valuation techniques. Also, the automated valuation can show all of the individual patent valuations. This automated valuation can include the mean, median, and/or average patent valuations from multiple different valuations, based on different valuation techniques.

Dependencies are inferred from the claim text.