Assignee profile:

Intraspexion, Inc.

City:

Sequim, Washington

Country:

United States

Published Applications:

8

Last publication date:

2018-10-09

Patent Grants:

8

Last grant date:

2018-10-09

Top Inventors for applications by Intraspexion, Inc.

These are the the leading inventors for applications assigned to Intraspexion, Inc.:

Recent patent applications by Intraspexion, Inc.

Intraspexion, Inc. based in Sequim, US has been assigned the rights to these inventions. The list includes both Pending Applications and Patent Grants:

#1 | 2018-10-09 ✅ Patent 10,095,992 granted on 2018-10-09
US15864785
Physics

Using classified text, deep learning algorithms and blockchain to identify risk in low-frequency, high value situations, and provide early warning

#2 | 2017-09-12 ✅ Patent 9,760,850 granted on 2017-09-12
US15414161
Physics

Using classified text and deep learning algorithms to identify risk and provide early warning

#3 | 2017-09-05 ✅ Patent 9,754,220 granted on 2017-09-05
US15413335
Physics

Using classified text and deep learning algorithms to identify medical risk and provide early warning

#4 | 2017-09-05 ✅ Patent 9,754,219 granted on 2017-09-05
US15413323
Physics

Using classified text and deep learning algorithms to identify entertainment risk and provide early warning

#5 | 2017-09-05 ✅ Patent 9,754,206 granted on 2017-09-05
US15413309
Physics

Using classified text and deep learning algorithms to identify drafting risks in a document and provide early warning

#6 | 2017-09-05 ✅ Patent 9,754,205 granted on 2017-09-05
US15406431
Physics

Using classified text or images and deep learning algorithms to identify risk of product defect and provide early warning

#7 | 2017-09-05 ✅ Patent 9,754,218 granted on 2017-09-05
US15406385
Physics

Using classified text and deep learning algorithms to identify support for financial advantage and provide notice

#8 | 2017-01-24 ✅ Patent 9,552,548 granted on 2017-01-24
US15277458
Physics

Using classified text and deep learning algorithms to identify risk and provide early warning

AssigneeID:

657534 ⎘