Updated Neural Net Patent Search!


We are excited to deploy NNv.2; the next iteration in Neural Net-based Patent Searches.

Starting today, users can search patents at a much higher resolution than was previously possible, at the claim and paragraph level, across the entire patent corpus. This update eliminates the need for error-prone and inefficient boolean and keyword-based search.

If you use IPDealRooms, you’ll undoubtedly notice the impact. NNv.2 is more finely tuned and returns far more relevant results requiring minimal hand-screening. Moreover, unlike most patent search systems, NNv.2 is trained on the entire patent corpus and gives cogent results across any area of technology – software, AI, robotics, biotechnology, medical devices, consumer goods and more.

This is an immensely powerful update, and we wanted to put it in your hands as soon as possible. We’re still improving runtime – the longest IPDealRooms take about an hour – set it to work in the background, go to lunch, and come back to your curated patent analysis.

It’s easier than ever – get started by inputting any patent, application, provisional, or invention disclosure into the ClearAccessIP’s platform, click on “DealRoom” and enable machine learning.

1. Create an IPDealRoom

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2. Slide “on” the Enable Machine Learning Button

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3. Visit the IPDealRoom and select the “IP Map” button to review related technologies

 

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4. Explore a list of the most closely related disclosures to the IPDealRoom portfolio.

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