EVOLV TECHNOLOGY SOLUTIONS, INC.
16Patents
16Active
16Granted
48Portfolio score
Filing activity: May 4, 2015 → Jul 12, 2022
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10783429B2 | Webinterface production and deployment using artificial neural networks | Physics | 5 | Active |
| US10606885B2 | Data object creation and recommendation using machine learning based online evolution | Physics | 5 | Active |
| US10503765B2 | Visual interactive search | Physics | 5 | Active |
| US11062196B2 | Webinterface generation and testing using artificial neural networks | Physics | 4 | Active |
| US11386318B2 | Machine learning based webinterface production and deployment system | Physics | 3 | Active |
| US10438111B2 | Machine learning based webinterface generation and testing system | Physics | 3 | Active |
| US11755979B2 | Method and system for finding a solution to a provided problem using family tree based priors in Bayesian calculations in evolution based optimization | Electricity | 2 | Active |
| US11216496B2 | Visual interactive search | Physics | 2 | Active |
| US10606883B2 | Selection of initial document collection for visual interactive search | Physics | 1 | Active |
| US10963506B2 | Data object creation and recommendation using machine learning based offline evolution | Physics | 1 | Active |
| US11238083B2 | Intelligently driven visual interface on mobile devices and tablets based on implicit and explicit user actions | Physics | 0 | Active |
| US10726196B2 | Autonomous configuration of conversion code to control display and functionality of webpage portions | Physics | 0 | Active |
| US12050978B2 | Webinterface generation and testing using artificial neural networks | Physics | 0 | Active |
| US12217148B2 | Presentation module for webinterface production and deployment system | Physics | 0 | Active |
| US11803730B2 | Webinterface presentation using artificial neural networks | Physics | 0 | Active |
| US12099542B2 | Implementing a graphical user interface to collect information from a user to identify a desired document based on dissimilarity and/or collective closeness to other identified documents | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.