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Jacob Bryon Kristen

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    141,865
  • Filing trend
    ⇩ 50.0%
About

Jacob Bryon Kristen has a total of 12 patent applications. It decreased the IP activity by 50.0%. Its first patent ever was published in 2016. It filed its patents most often in United States. Its main competitors in its focus markets computer technology are DREAM IT GET IT LTD, IO TAHOE LLC and DATA WORLD INC.

Patent filings in countries

World map showing Jacob Bryon Kristens patent filings in countries
# Country Total Patents
#1 United States 12

Patent filings per year

Chart showing Jacob Bryon Kristens patent filings per year from 1900 to 2020

Focus industries

# Industry
#1 Computer technology

Top inventors

# Name Total Patents
#1 Jacob Bryon Kristen 12
#2 Keen Arthur Albert 12
#3 Griffith David Lee 12
#4 Le Triet Minh 11
#5 Hurt Brett A 10
#6 Loyens Jon 10
#7 Reynolds Shad William 8
#8 Zelenak Alexander John 6
#9 Boutros Joseph 6
#10 Lee Triet Minh 1

Latest patents

Publication Filing date Title
US2019266155A1 Collaborative dataset consolidation via distributed computer networks
US2020073865A1 Collaborative dataset consolidation via distributed computer networks
US2017364694A1 Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization
US2017364539A1 Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization
US2017364703A1 Management of collaborative datasets via distributed computer networks
US2017364553A1 Query generation for collaborative datasets
US2017364538A1 Loading collaborative datasets into data stores for queries via distributed computer networks
US2017364569A1 Collaborative dataset consolidation via distributed computer networks
US2017364570A1 Dataset analysis and dataset attribute inferencing to form collaborative datasets
US2017364564A1 Consolidator platform to implement collaborative datasets via distributed computer networks