Intraspexion OWNS seven (7) software system patents using "Deep Learning"
Our first patent was issued within four months after the formal application was filed. All seven (7) patents were allowed within the space of a single year. Each patent has a priority date of July 1, 2016.
As of July 31, 2018, our "family" ranks 5th in size for patents with either "deep learning" or "deep neural" in the USPTO field for Claim(s), behind only Google (24), IBM (19), Microsoft (14) and Siemens Healthcare (10).
Intraspexion is next with seven (7) patents.
We are followed by Adobe Systems (5), Amazon.com (5), NEC (5), Mitsubishi (4), and Electronics and Technology Research Institute (KR) (4).
Obviously, Intraspexion is the only startup on the list.
As for other countries, we've applied to extend our reach via the Patent Cooperation Treaty (PCT). On September 22, 2017, the International Searching Authority issued a favorable opinion as to novelty, inventive step, and industrial applicability.
We see our portfolio in the following informal and non-binding groups:
On January 24, 2017, Patent No. 9,552,548 was issued to Intraspexion founder Nelson E. (Nick) Brestoff as the sole inventor for “Using Classified Text and Deep Learning Algorithms to Identify [General] Risk and Provide Early Warning.” This patent is the "parent" to the others.
On September 12, 2017, No. 9,760,850 was issued to Brestoff as a second "general risk" patent by the same title but with different claims.
On September 5, 2017, the USPTO issued patents related to contract drafting defects (No. 9,754,206), entertainment/publishing projects (No. 9,754,219), and product defects (No. 9,754,205).
Also on September 5, 2017, the USPTO issued Patent No. 9,754,220 for “Using Classified Text and Deep Learning Algorithms to Identify Medical Risk and Provide Early Warning.” Think of our "medical risk" patent this way: a specific disease is to a specific litigation risk category as symptoms are to factual allegations in lawsuits.
On September 5, 2017, the USPTO issued Patent No. 9,754,218 for “Using Classified Text and Deep Learning Algorithms to Identify Support for Financial Advantage and Provide Notice.” This patent is for a different purpose: identifying financial advantages to obtain, e.g., R & D tax credits, rather than risks to avoid.