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Prezi (short form of prezentáció in Hungarian, lit. 'presentation') is a presentation software company founded in 2009 in Budapest. As of 2025, they have more than 160 million users worldwide who have created approximately 400 million presentations. In 2019, they launched Prezi Video, a tool that allows for virtual presentations within the video screen…
The analysis highlights History, Applications and Companies as prominent areas in the source structure around Prezi.
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 Prezi shows recurring relationship patterns in the source. For example, Prezi → Alexandra Saemmer's, Böhmische Dörfer, Clinton Foundation, ConnectED, IBM, In, Inc, Integrated Software Vendor, Integration Partner, ISV, It, Lufthansa, President Barack Obama, Prezi Business, Slack, SXSW, TED, The, The Independent, Title Another extracted example is Prezi → Accel Partners, Adam Somlai-Fischer, Budapest, Hungary, In, In November, May, Peter Arvai, Peter Halacsy, San Francisco, Series, TED, That, The. 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.
presentations launched video presentation software company virtual budapest used 2009 users 2019 tool live hungarian year platform million allows recorded
TTTA extracted 51 structured relationships around Prezi. Examples in this analysis include Prezi → Available in → English, Portuguese, Spanish, Korean, Japanese, German, Italian, French, Hungarian and Prezi → Current status → Active. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Prezi | Available in | English, Portuguese, Spanish, Korean, Japanese, German, Italian, French, Hungarian | 1.00 | infobox |
| Prezi | Current status | Active | 1.00 | infobox |
| Prezi | Employees | 300 (2022) | 1.00 | infobox |
| Prezi | Founder(s) | Adam Somlai-Fischer Peter Halacsy Peter Arvai | 1.00 | infobox |
| Prezi | Headquarters | San Francisco, United States Budapest, Hungary | 1.00 | infobox |
| Prezi | Launched | April 5, 2009; 17 years ago (2009-04-05) | 1.00 | infobox |
| Prezi | Owner | Prezi Inc | 1.00 | infobox |
| Prezi | Type of site | Presentation Collaboration | 1.00 | infobox |
| Prezi | URL | www.prezi.com | 1.00 | infobox |
| collaboration | instance of | The platform combines conversational presenting capabilities with business-focused features | 0.80 | text |
| Slack integration | instance of | The platform combines conversational presenting capabilities with business-focused features | 0.80 | text |
| and analytics | instance of | The platform combines conversational presenting capabilities with business-focused features | 0.80 | text |
The concept neighborhoods around Prezi bring nearby vocabulary together. In this analysis, examples include Launched, Video and Presentations. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Prezi, one of the stronger structural bridges in this analysis connects Prezi with History. 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 Prezi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Prezi · EN edition · Analysis: TopicsToTalkAbout