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TUPL INC

Overview
  • Total Patents
    34
  • GoodIP Patent Rank
    45,328
  • Filing trend
    ⇩ 27.0%
About

TUPL INC has a total of 34 patent applications. It decreased the IP activity by 27.0%. Its first patent ever was published in 2015. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and EPO (European Patent Office). Its main competitors in its focus markets digital networks, computer technology and telecommunications are RIPPLE LABS INC, CHOI UN HO and INFORMATION COMMUNICATION BRANCH STATE GRID JIANGSU ELECTRIC POWER CO LTD.

Patent filings per year

Chart showing TUPL INCs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Tapia Pablo 34
#2 Guerrero Rafael 9
#3 Sanchez-Mejias Rafael 9
#4 Chen Xiang 5
#5 Escobar Juan Jose 4
#6 Sanchez Mejias Rafael 2
#7 Martin Vicente Oscar 2
#8 Ferrer Ricardo 2
#9 Sanchez Meijas Rafael 1

Latest patents

Publication Filing date Title
US2020304364A1 Automatic customer complaint resolution
EP3596670A1 Automated decision making using staged machine learning
US2018270126A1 Communication network quality of experience extrapolation and diagnosis
US2019213554A1 User support system with automatic message categorization
US2018130145A1 Systems and methods of utility management
US2018131559A1 Fixed line resource management
US2017353991A1 Artificial intelligence-based network advisor
US2017019315A1 Automatic customer complaint resolution
US2017078171A1 Wireless communication data analysis and reporting
US2017279669A1 Intelligent configuration system for alert and performance monitoring
US2017278171A1 Virtual marketplace for distributed tools in an enterprise environment
US2017269921A1 Continuous and automatic application development and deployment
US2016248624A1 Distributed multi-data source performance management
US2016021188A1 Generic network trace with distributed parallel processing and smart caching
US2016021503A1 Machine learning-based geolocation and hotspot area identification
US2016021173A1 Resource management in a big data environment