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Espressif Systems (Shanghai) Co., Ltd. (Espressif; Chinese: 乐鑫科技; pinyin: Lèxīn Kējì) is a publicly listed Chinese semiconductor company headquartered in Shanghai. It focuses on developing and selling wireless microcontroller unit communication chips and modules that are used in internet of things (IoT).
The analysis highlights History, Technology, Art and Measurement as prominent areas in the source structure around Espressif Systems.
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.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Espressif Systems shows recurring relationship patterns in the source. For example, Espressif Systems → April 28, 2008; 18 years ago (2008-04-28) Another extracted example is Espressif Systems → Teo Swee Ann. 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.
espressif shanghai company chips semiconductor used wi-fi china products industry teo billion systems co ltd solutions listed microcontroller things iot
TTTA extracted 19 structured relationships around Espressif Systems. Examples in this analysis include Espressif Systems → Founded → April 28, 2008; 18 years ago (2008-04-28) and Espressif Systems → Founder → Teo Swee Ann. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Espressif Systems | Founded | April 28, 2008; 18 years ago (2008-04-28) | 1.00 | infobox |
| Espressif Systems | Founder | Teo Swee Ann | 1.00 | infobox |
| Espressif Systems | Headquarters | Shanghai, China | 1.00 | infobox |
| Espressif Systems | Industry | Semiconductors | 1.00 | infobox |
| Espressif Systems | Key people | Teo Swee Ann (Chairman & CEO) | 1.00 | infobox |
| Espressif Systems | Native name | 乐鑫信息科技(上海)股份有限公司 | 1.00 | infobox |
| Espressif Systems | Net income | CN¥136.20 million (2023) | 1.00 | infobox |
| Espressif Systems | Number of employees | 625 (2023) | 1.00 | infobox |
| Espressif Systems | Revenue | CN¥1.43 billion (2023) | 1.00 | infobox |
| Espressif Systems | Total assets | CN¥2.20 billion (2023) | 1.00 | infobox |
| Espressif Systems | Total equity | CN¥1.91 billion (2023) | 1.00 | infobox |
| Espressif Systems | Trade name | Espressif | 1.00 | infobox |
| Espressif Systems | Traded as | SSE: 688018 | 1.00 | infobox |
| Espressif Systems | Type | Public | 1.00 | infobox |
| Espressif Systems | Website | www.espressif.com | 1.00 | infobox |
The concept neighborhoods around Espressif Systems bring nearby vocabulary together. In this analysis, examples include Shanghai, Also and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Espressif Systems, one of the stronger structural bridges in this analysis connects Espressif Systems 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 Espressif Systems to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Espressif Systems · EN edition · Analysis: TopicsToTalkAbout