Intraspexion™ Milestones

USPTO issues key "Deep learning" PATEnt to intraspexion's founder and ceo

On January 24, 2017, the USPTO issued U.S. Patent No. 9,552,548 for “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning” to Nelson E. (Nick) Brestoff, Intraspexion’s founder and CEO, who assigned it to Intraspexion. All 20 claims Nick requested were allowed. Intraspexion’s patent counsel was Obi Iloputaife, an attorney with Cotman IP Law Group, PLC, which is headed by one of Intraspexion’s co-founders, Dan Cotman.

Nick explained why the time from his application to an issued patent was less than 4 months in a two-part article published by A.I. Trends entitled “Startup Intraspexion Receives Deep Learning Software Patent, Part 2.” You can find both Part 1 and Part 2 here.

As of May 2017, six (6) continuations-in-part are pending and have been granted expedited review on the merits.

INTRASPEXIOn's first talk goes to ai audience

On November 7 & 8, 2016, Intraspexion’s founder and CEO Nick Brestoff gave his first public talks about Intraspexion at the AI World Conference & Expo in San Francisco. Advisor Steve Ardire introduced Nick for his first-ever public talk.


On October 31, 2016, “after careful review,” NVIDIA formally accepted Intraspexion into its Inception Program. 

MVP Achieved

On September 15, 2016, Intraspexion internally demonstrated an enterprise-level system, thereby achieving a minimum viable product (MVP). Nick Brestoff, F. Scott Barker, Mike Becker, and Jagannath Rajagopal were the principal technology, programming, and data science contributors.

Our user interface (UI) is simple and is the subject of our video Demo, which was produced and voiced by one of Intraspexion’s co-founders, Larry W.  Bridgesmith.


On August 20, 2015, with the assistance of co-founder Sean LaRoque-Doherty, Nick Brestoff founded Intraspexion as a Delaware for-profit corporation.



Karen needed a “capstone” project to partially satisfy the requirements for her Masters of Science in Information Management degree from the University of Washington. Nick Brestoff proposed that she write a software solution for scraping and extracting text from the federal court database known as PACER, the acronym for Public Access to Court Electronic Records. She completed the project and earned her degree in 2015. Her capstone project was the foundation for co-founder Mike Becker's programming to define, build and document an automated software system to extract text from PACER.