Intraspexion OWNS seven (7) software system patents using
It's been said that Deep Learning will change everything. By all means, search for "deep_learning." We invented a software system that uses Deep Learning for text in the legal tech and other spaces, too, including medical. Our portfolio covers both risks to avoid and financial advantages to obtain. All 120 claims we made were allowed, with no changes, and all in the space of a year.
Currently, we're moving beyond the U.S. 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.
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.” This patent applies our Deep Learning system to Electronic Health/Medical Records.
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 a financial advantage to obtain (such as an R & D tax credit) rather than a risk to avoid.