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…
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Avanci topic overview
The analysis highlights History, Technology, Standards and Companies as prominent areas in the source structure around Avanci.
Related topics
49
Source areas
3
Connected nodes
52
Extracted relationships
74
Concept neighborhoods
16
Bridge connections
52
What this topic covers Research coverage
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.
Overview · 34 topics
History · 13 topics
Leadership · 2 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2016; 10 years ago (2016)
Industry
Patent licensing
Headquarters
Dallas, Texas
Founder
Kasim Alfalahi
Type
Private
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Avanci connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Avanci shows recurring relationship patterns in the source. For example, Avanci → Audi, Avanci Vehicle, BMW, By, Chief Intellectual Property Officer, Conversant, Daimler AG, Ericsson, Ford, General Motors, Honda, In, In September, InterDigital, Jaguar Land Rover, Japanese, Kasim Alfalahi, KPN, Later, LG Electronics Another extracted example is Avanci → After, Alfalahi, Avanci Vehicle, Avanci's, Board Member, CEO, CEO Kasim Alfalahi, Ericsson, Ericsson’s Chief Intellectual Property, In, In March, Intellectual Asset Management, IP, Kasim Alfalahi, Managing IP, Mark's School, Market Makers, Officer, Prior, St. Use these groups to spot repeated connection types before inspecting the individual relationships.
Avanci
Top relations
related to history· 31
Avanci → Audi, Avanci Vehicle, BMW, By, Chief Intellectual Property Officer, Conversant, Daimler AG, Ericsson, Ford, General Motors, Honda, In, In September, InterDigital, Jaguar Land Rover, Japanese, Kasim Alfalahi, KPN, Later, LG Electronics
related to Leadership· 23
Avanci → After, Alfalahi, Avanci Vehicle, Avanci's, Board Member, CEO, CEO Kasim Alfalahi, Ericsson, Ericsson’s Chief Intellectual Property, In, In March, Intellectual Asset Management, IP, Kasim Alfalahi, Managing IP, Mark's School, Market Makers, Officer, Prior, St
Founded· 1
Avanci → 2016; 10 years ago (2016)
Founder· 1
Avanci → Kasim Alfalahi
Headquarters· 1
Avanci → Dallas, Texas
Industry· 1
Avanci → Patent licensing
Type· 1
Avanci → Private
Website· 1
Avanci → avanci.com
is a· 1
Avanci → operator of patent licensing platforms established in 2016 in the information and communications technology
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 74 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
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
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.
Avanci
Licensing
Patent
Broadcast
Vehicle
First
Platform
4g
Standard
Program
Alfalahi
Joined
Launched
avanci
Licensing
Patent
Broadcast
Vehicle
First
Platform
4g
Standard
Program
Alfalahi
Joined
Launched
patent licensing platforms
Patent
Holders
One
Standard
Platform
Ericsson
Intellectual
Alfalahi
Bmw
Broadcast
Interdigital
Licenses
standard essential patents
Standard
Platform
Launched
5g
Essential
Licenses
Patents
4g
Connected
Due
Vehicles
One
4g
5g
Vehicle
Essential
Program
Joined
Avanci
Patents
Connected
Standard
Vehicles
Technologies
First
ericsson
Interdigital
Qualcomm
Holders
Patent
Licensing
Kasim
Platforms
Texas
One
Property
Intellectual
Technologies
broadcast
Launched
Iot
Standard
Technologies
Licensing
Holders
Patent
Platform
Licenses
Patents
Platforms
Space
5g
Essential
Vehicle
Patents
Connected
Standard
Vehicles
Program
Technologies
Avanci
Joined
Launched
License
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Avanci
Nodes53
Edges52
Triples74
Avg. degree1.96
Density0.037736
Components1
Source & methodology
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.
