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Avanci is an operator of patent licensing platforms established in 2016 in the information and communications technology (ICT) space and more specifically in the Internet of things (IoT) and broadcast spaces. By licensing patents from multiple holders under a single agreement, Avanci provides licenses to standardized technologies for manufacturers in the…
The analysis highlights History, Technology, Standards and Companies as prominent areas in the source structure around Avanci.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Avanci shows recurring relationship patterns in the source. For example, Avanci → Audi, Avanci Vehicle, BMW, Chief Intellectual Property Officer, Conversant, Daimler AG, Ericsson, Ford, General Motors, Honda, In September, InterDigital, Jaguar Land Rover, Japanese, Kasim Alfalahi, KPN, Later, LG Electronics, Nissan, Nokia Another extracted example is Avanci → Alfalahi, Avanci Vehicle, Avanci's, Board Member, CEO, CEO Kasim Alfalahi, Ericsson, Ericsson’s Chief Intellectual Property, In March, Intellectual Asset Management, IP, Kasim Alfalahi, Managing IP, Mark's School, Market Makers, Officer, Prior, St, Texas, Texas Southwestern Medical Center. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
licensing patent 2023 holders broadcast platform vehicle license company alfalahi ericsson launched technologies joined program platforms 2016 4g intellectual 2022
TTTA extracted 70 structured relationships around Avanci. Examples in this analysis include Avanci → Founded → 2016; 10 years ago (2016) and Avanci → Founder → Kasim Alfalahi. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Avanci | Founded | 2016; 10 years ago (2016) | 1.00 | infobox |
| Avanci | Founder | Kasim Alfalahi | 1.00 | infobox |
| Avanci | Headquarters | Dallas, Texas | 1.00 | infobox |
| Avanci | Industry | Patent licensing | 1.00 | infobox |
| Avanci | Type | Private | 1.00 | infobox |
| Avanci | Website | avanci.com | 1.00 | infobox |
| Avanci | is a | operator of patent licensing platforms established in 2016 in the information and communications technology | 0.90 | text |
| entertainment units | instance of | licensing technologies for use in products | 0.80 | text |
| tracking devices in containers | instance of | licensing technologies for use in products | 0.80 | text |
| information systems for public transport | instance of | licensing technologies for use in products | 0.80 | text |
| and connected devices in road toll stations.In March 2023 | instance of | licensing technologies for use in products | 0.80 | text |
| Avanci launched Avanci Broadcast | instance of | licensing technologies for use in products | 0.80 | text |
The concept neighborhoods around Avanci bring nearby vocabulary together. In this analysis, examples include Licensing, Patent and Broadcast. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Avanci, one of the stronger structural bridges in this analysis connects Avanci with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Avanci to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Standards & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Avanci · EN edition · Analysis: TopicsToTalkAbout