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Zendesk: Historie & Overview
Zendesk, Inc. je americká společnost poskytující produkty software jako službu (SaaS) v oblasti zákaznické podpory, prodeje a dalších komunikací se zákazníky. Společnost byla zaloena v Kodani v Dánsku v roce 2007 a má sídlo v San Franciscu v Kalifornii ve Spojených státech. Zendesk získal přibližně 86 milionů USD jako investice rizikového kapitálu před…
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Zendesk topic overview
The analysis highlights Historie and Overview as prominent areas in the source structure around Zendesk.
Related topics
14
Source areas
2
Connected nodes
18
Extracted relationships
70
Concept neighborhoods
7
Bridge connections
18
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.
Historie · 10 topics
Overview · 4 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.
Adresa sídla
181 Fremont, San Francisco, Kalifornie, USA
Celková aktiva
2,45 miliardy USD (2021)
Datum založení
2007
ISIN
US98936J1016
LEI
549300SLI6BN94BKKO36
Majitelé
Hellman & Friedman, Permira (od 2022)
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 Zendesk 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 Zendesk shows recurring relationship patterns in the source. For example, Zendesk → Alexanderem Aghassipourem, Bostonu, Během, Celkové, Dánsku, Kalifornii, Kodani, Massachusetts, Mikkelem Svanem, Mortenem Primdahlem, Přibližně, Přijetí, Původně, Rizikoví, San Francisca, Spojených, Společnost, Svaneho, Twitter, USD Another extracted example is Zendesk → Austrálii, Dublinu, Kodani, Londýně, Město, Od, Přestože, San Francisco, San Franciscu, Singapuru, Tenderloin, Tržby, USD, Ve, Zendesku. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 70 structured relationships around Zendesk. Examples in this analysis include Zendesk → Adresa sídla → 181 Fremont, San Francisco, Kalifornie, USA and Zendesk → Celková aktiva → 2,45 miliardy USD (2021). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Zendesk
Adresa sídla
181 Fremont, San Francisco, Kalifornie, USA
1.00
infobox
Zendesk
Celková aktiva
2,45 miliardy USD (2021)
1.00
infobox
Zendesk
Datum založení
2007
1.00
infobox
Zendesk
ISIN
US98936J1016
1.00
infobox
Zendesk
LEI
549300SLI6BN94BKKO36
1.00
infobox
Zendesk
Majitelé
Hellman & Friedman, Permira (od 2022)
1.00
infobox
Zendesk
Oblast činnosti
Software jako služba (SaaS)
1.00
infobox
Zendesk
Oficiální web
zendesk.com
1.00
infobox
Zendesk
Provozní zisk
−166,68 milionu USD (2021)
1.00
infobox
Zendesk
Právní forma
Soukromá společnost
1.00
infobox
Zendesk
Vlastní kapitál
489,22 milionu USD (2021)
1.00
infobox
Zendesk
Zakladatelé
Mikkel Svane Alexander Aghassipour Morten Primdahl
1.00
infobox
Zendesk
Zaměstnanci
5 860 (2021)
1.00
infobox
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 Zendesk bring nearby vocabulary together. In this analysis, examples include Roce, Usd and Získal. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Zendesk
Roce
Usd
Získal
Zákaznické
Miliardy
Zákazníky
Podpory
Milionů
Prodeje
Friedman
Hellman
Milionu
zendesk
Roce
Usd
Získal
Zákaznické
Miliardy
Zákazníky
Podpory
Milionů
Prodeje
Friedman
Hellman
Milionu
software jako službu
Jako
Software
Prodeje
Podpory
Saas
Zákaznické
Financování
Zákazníky
Společnost
Přibližně
Zendesk
Usd
hellman & friedman
Friedman
Hellman
Permira
Miliardy
Logo
Saas
Kodani
Milionu
Oznámil
Financování
Usd
San
permira
Miliardy
Logo
Saas
Milionu
Financování
Usd
San
Přibližně
Software
Zendesk
Společnost
Roce
zákaznické podpory
Zákaznické
Prodeje
Zákazníky
Saas
Software
Zendesk
Společnost
Roce
Zákazníků
Přibližně
Zendesku
úřadu pro patenty a ochranné známky spojených států
Společnost
Zákazníků
Zendesku
Zendesk
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 Zendesk, one of the stronger structural bridges in this analysis connects Zendesk with Historie. 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.
Zendesk
Nodes19
Edges18
Triples70
Avg. degree1.89
Density0.105263
Components1
Source & methodology
TTTA analyzes the structure around Zendesk to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
