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Intelligent Systems Co., Ltd. is a Japanese video game developer best known for developing games published by Nintendo with the Paper Mario, Fire Emblem, WarioWare, and Wars video game series.
The analysis highlights History and Companies as prominent areas in the source structure around Intelligent 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.
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 Intelligent Systems shows recurring relationship patterns in the source. For example, Intelligent Systems → CEO, Development, Devil World, Donkey Kong, Duck Hunt, Game Boy, Hogan's Alley, In, Iwasaki Giken, Mario Bros, Metroid, Nintendo, Nintendo Research, Ryoichi Kitanishi, This, Tohru Narihiro, When, Wild Gunman, Wrecking Crew Another extracted example is Intelligent Systems → Among Us, Animal Crossing, By, DeNA, Fire Emblem Heroes, Fire Emblem Shadows, Heroes, However, In February, It, Mario Kart Tour, Nintendo, Pocket Camp, September, Super Mario Run, This, To. 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.
nintendo game intelligent systems fire emblem games development company mario released developed series boy co wars first software west super
TTTA extracted 63 structured relationships around Intelligent Systems. Examples in this analysis include Intelligent Systems → Founded → 1983; 43 years ago (1983) (As a division under Iwasaki Giken Kogyo.) December 1986; 39 years ago (1986-12) (As a separate entity.) and Intelligent Systems → Founder → Toru Narihiro. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Intelligent Systems | Founded | 1983; 43 years ago (1983) (As a division under Iwasaki Giken Kogyo.) December 1986; 39 years ago (1986-12) (As a separate entity.) | 1.00 | infobox |
| Intelligent Systems | Founder | Toru Narihiro | 1.00 | infobox |
| Intelligent Systems | Headquarters | Minami-ku, Kyoto, Japan | 1.00 | infobox |
| Intelligent Systems | Industry | Video games | 1.00 | infobox |
| Intelligent Systems | Key people | Ryouichi Kitanishi (chairman) | 1.00 | infobox |
| Intelligent Systems | Key people | Toshiyuki Nakamura (president) | 1.00 | infobox |
| Intelligent Systems | Native name | 株式会社インテリジェントシステムズ | 1.00 | infobox |
| Intelligent Systems | Number of employees | 223 (2026) | 1.00 | infobox |
| Intelligent Systems | Products | Paper Mario series | 1.00 | infobox |
| Intelligent Systems | Products | Fire Emblem series | 1.00 | infobox |
| Intelligent Systems | Products | WarioWare series | 1.00 | infobox |
| Intelligent Systems | Products | Wars series | 1.00 | infobox |
| Intelligent Systems | Romanized name | Kabushiki gaisha Interijento Shisutemuzu | 1.00 | infobox |
| Intelligent Systems | Subsidiaries | Purejio Co., Ltd. (株式会社プレジオ) | 1.00 | infobox |
| Intelligent Systems | Type | Kabushiki gaisha | 1.00 | infobox |
| Intelligent Systems | Website | intsys.co.jp/english intsys.co.jp | 1.00 | infobox |
The concept neighborhoods around Intelligent Systems bring nearby vocabulary together. In this analysis, examples include Systems, Emblem and Fire. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Intelligent Systems, one of the stronger structural bridges in this analysis connects Intelligent 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 Intelligent Systems to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Intelligent Systems · EN edition · Analysis: TopicsToTalkAbout