Our 8th patent is the 1st to combine blockchain with deep learning
On July 1, 2016, with the professional assistance by co-founders Dan Cotman and Obi Iloputaife of CotmanIP Law Group PLC (Pasadena, CA), the provisional application for our first patent was filed. The Priority Date for our first patent, and for each of our other seven (7) patents, is July 1, 2016.
On September 27, 2016, the formal application was filed. (By agreement with the USPTO, each “continuation” patent will expire on September 27, 2036.)
On December 12, 2016, we received the USPTO’s first Office Action: a Notice of Allowance.
On January 24, 2017, our first patent issued as U.S. Pat. No. 9,552,548, with the title of “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning.” Our parent patent had gone from “formal” to “issued” in less than four months. Light speed for the USPTO!
Believing (correctly) that corporate legal departments would be slow to adopt AI technologies, we proceeded to adopt a “patent-first” strategy and build a patent “family” while developing both on-prem and cloud solutions.
On October 9, 2018, the family grew to eight (8), when we combined deep learning and blockchain. See the Blockchain group, below.
International (In Progress).
We've also applied to extend our portfolio to other countries 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 group our portfolio in the following informal categories:
As recounted above, 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 Risk and Provide Early Warning.”
On September 12, 2017, No. 9,760,850 was issued as a second "general risk" patent. This patent goes by the same title but has 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 the factual allegations in lawsuit complaints.
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.” As noted above, this patent is for identifying financial advantages to obtain rather than risks to avoid.
On October 9, 2018, the USPTO issued Patent No. 10,095,992 for "Using Classified Text, Blockchain and Deep Learning to Identify Low-Frequency Adverse Situations, and Provide Early Warning." Among other innovations, this patent mentions three use cases: (1) violations of the Foreign Corrupt Practices Act, (2) losses due to the theft of trade secrets, and (3) losses from product liability lawsuits.