Technext Inc.

United States of America

Back to Profile

1-5 of 5 for Technext Inc. Sort by
Query
Aggregations
IP Type
        Trademark 3
        Patent 2
Date
2025 3
2024 1
2022 1
IPC Class
G06F 16/903 - Querying 2
G06F 18/2134 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis 2
G06F 18/22 - Matching criteria, e.g. proximity measures 2
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns 2
G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor 1
NICE Class
35 - Advertising and business services 3
42 - Scientific, technological and industrial services, research and design 3
Status
Pending 4
Registered / In Force 1
Found results for

1.

TOS

      
Serial Number 99218294
Status Pending
Filing Date 2025-06-04
Owner TechNext Inc. (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Business analysis and business strategic planning services in the technology industry; Business strategic planning services in the field of analyzing technology and technology forecasting, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes; Platform as a service (PAAS) featuring computer software platforms for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes; Software as a service (SAAS) services featuring software for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes

2.

TECHNOLOGY OPERATING SYSTEM

      
Serial Number 99218284
Status Pending
Filing Date 2025-06-04
Owner TechNext Inc. (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Business analysis and business strategic planning services in the technology industry; Business strategic planning services in the field of analyzing technology and technology forecasting, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes; Platform as a service (PAAS) featuring computer software platforms for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes; Software as a service (SAAS) services featuring software for analyzing technology for business planning and technology forecasting purposes, namely mapping technology to the mission of a business, creating a technology landscape, and monitoring, measuring, forecasting, and deciding processes

3.

TECHNOLOGY PORTFOLIO PRIORITIZATION MATRIX

      
Serial Number 99218299
Status Pending
Filing Date 2025-06-04
Owner TechNext Inc. (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

Business analysis and business strategic planning services in the technology industry; Business strategic planning services in the field of analyzing technology and technology forecasting utilizing a qualitative-quantitative tool for systems analysis following a systems decomposition Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing technology for business planning and technology forecasting purposes, namely a qualitative-quantitative tool for systems analysis following a systems decomposition; Platform as a service (PAAS) featuring computer software platforms for analyzing technology for business planning and technology forecasting purposes utilizing a qualitative-quantitative matrix for systems analysis following a systems decomposition; Software as a service (SAAS) services featuring software for analyzing technology for business planning and technology forecasting purposes utilizing a qualitative-quantitative tool for systems analysis following a systems decomposition

4.

SYSTEMS AND METHODS TO ESTIMATE RATE OF IMPROVEMENT FOR ALL TECHNOLOGIES

      
Application Number 18791538
Status Pending
Filing Date 2024-08-01
First Publication Date 2024-11-28
Owner Technext, Inc. (USA)
Inventor
  • Singh, Anuraag
  • Magee, Christopher L.

Abstract

Systems and methods for predicting yearly performance improvement rates for nearly all definable technologies for the first time are provided. In one embodiment, a correspondence of all patents within the U.S. patent system to a set of technology domains is created. From the identified patent sets, the invention may calculate average centrality of the patents in each domain to predict improvement rates, following a patent network-based methodology. Also disclosed is a system to intake a user technology search query and match user intent with the technology domain as well as the corresponding improvement rate.

IPC Classes  ?

  • G06F 18/2134 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
  • G06F 16/903 - Querying
  • G06F 18/22 - Matching criteria, e.g. proximity measures
  • G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns

5.

Systems and methods to estimate rate of improvement for all technologies

      
Application Number 17224082
Grant Number 12099572
Status In Force
Filing Date 2021-04-06
First Publication Date 2022-04-14
Grant Date 2024-09-24
Owner Technext Inc. (USA)
Inventor
  • Singh, Anuraag
  • Magee, Christopher L.

Abstract

Systems and methods for predicting yearly performance improvement rates for nearly all definable technologies for the first time are provided. In one embodiment, a correspondence of all patents within the U.S. patent system to a set of technology domains is created. From the identified patent sets, the invention may calculate average centrality of the patents in each domain to predict improvement rates, following a patent network-based methodology. Also disclosed is a system to intake a user technology search query and match user intent with the technology domain as well as the corresponding improvement rate.

IPC Classes  ?

  • G06F 16/00 - Information retrievalDatabase structures thereforFile system structures therefor
  • G06F 16/903 - Querying
  • G06F 18/2134 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
  • G06F 18/22 - Matching criteria, e.g. proximity measures
  • G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns