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EVRYTHNG is an internet of things (IoT) software company based in London, with operations in Oregon, New York, Beijing, Minsk and Switzerland. The company delivers real-time data and actionable information about “smart products” featuring a digital identity in its EVRYTHNG Product Cloud, which connects consumer packaged goods to the web for business…
The analysis highlights History, Products, Art and Companies as prominent areas in the source structure around EVRYTHNG.
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.
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.
The extracted context around EVRYTHNG shows recurring relationship patterns in the source. For example, EVRYTHNG → Andy Hobsbawm, Atomico, Australia, Brazil, British, Chile, Diageo, Diageo's, Dominique Guinard, Eastern Europe, In November, January, Niall Murphy, October, Venezuela, Vietnam, Vlad Trifa Another extracted example is EVRYTHNG → January 2011; 15 years ago (January 2011). 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.
company product digital murphy new guinard january 2011 iot web niall andy hobsbawm dominique vlad trifa founded digimarc london round
TTTA extracted 25 structured relationships around EVRYTHNG. Examples in this analysis include EVRYTHNG → Founded → January 2011; 15 years ago (January 2011) and EVRYTHNG → Founder → Niall Murphy, Andy Hobsbawm, Dominique Guinard, Vlad Trifa. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| EVRYTHNG | Founded | January 2011; 15 years ago (January 2011) | 1.00 | infobox |
| EVRYTHNG | Founder | Niall Murphy, Andy Hobsbawm, Dominique Guinard, Vlad Trifa | 1.00 | infobox |
| EVRYTHNG | Headquarters | New York City, London and San Francisco | 1.00 | infobox |
| EVRYTHNG | Key people | Niall Murphy, Andy Hobsbawm, Dominique Guinard, Vlad Trifa | 1.00 | infobox |
| EVRYTHNG | Services | Internet of Things, Smart products, Product Relationship Management, Web of Things, Software, Sensors, Embedded Hardware and Software, Location-Based Services, NFC, QR Codes, RF… | 1.00 | infobox |
| EVRYTHNG | Type | Private | 1.00 | infobox |
| EVRYTHNG | Website | evrythng.com | 1.00 | infobox |
| EVRYTHNG | is a | internet of things | 0.90 | text |
| EVRYTHNG | related to history | Niall Murphy | 0.60 | section |
| EVRYTHNG | related to history | Andy Hobsbawm | 0.60 | section |
| EVRYTHNG | related to history | Dominique Guinard | 0.60 | section |
| EVRYTHNG | related to history | Vlad Trifa | 0.60 | section |
The concept neighborhoods around EVRYTHNG bring nearby vocabulary together. In this analysis, examples include Company, Digital and Product. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For EVRYTHNG, one of the stronger structural bridges in this analysis connects EVRYTHNG 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 EVRYTHNG to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — EVRYTHNG · EN edition · Analysis: TopicsToTalkAbout