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Keolis is a French transportation company that operates public transport systems all over the world. It manages bus, rapid transit, tram, coach networks, rental bikes, car parks, water taxi, cable car, trolleybus, and funicular services. Based in Paris, France, the company is 70% owned by SNCF and 30% owned by the Caisse de dépôt et placement du Québec.
The analysis highlights History and Companies as prominent areas in the source structure around Keolis.
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 Keolis shows recurring relationship patterns in the source. For example, Keolis → Amtrak, Amtrak's, Boston, Both Amtrak, Canada, Heather Mizeur, Holocaust, However, In, In Nevada, It, July, Keolis America, Keolis North America, Keolis Rail Services America, Las Vegas, Maryland, Massachusetts, Nazi, October Another extracted example is Keolis → Australian Transit Enterprises, During July, During May, February, Ferries, Gold Coast, Government, Hornibrook Bus Lines, In March, In October, July, KDNB, Keolis Downer, Keolis Downer Northern Beaches, LinkSA, Melbourne, New South Wales, Newcastle Buses, Newcastle Light Rail, Newcastle Transport. 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 operations bus transport contract rail services transit metro france also public operator operates subsidiary operate joint venture netherlands 2014
TTTA extracted 288 structured relationships around Keolis. Examples in this analysis include Keolis → Area served → Worldwide and Keolis → Founded → 2001. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Keolis | Area served | Worldwide | 1.00 | infobox |
| Keolis | Founded | 2001 | 1.00 | infobox |
| Keolis | Headquarters | Paris, France | 1.00 | infobox |
| Keolis | Industry | Public transport | 1.00 | infobox |
| Keolis | ISIN | FR0000036196 | 1.00 | infobox |
| Keolis | Key people | Christelle Villadary (Interim Executive Board Chairwoman) | 1.00 | infobox |
| Keolis | Number of employees | 70,000 (2025) | 1.00 | infobox |
| Keolis | Parent | SNCF (70%) | 1.00 | infobox |
| Keolis | Parent | La Caisse (30%) | 1.00 | infobox |
| Keolis | Revenue | €7.7 billion (2025) | 1.00 | infobox |
| Keolis | Type | Private | 1.00 | infobox |
| Keolis | Website | www.keolis.com/en | 1.00 | infobox |
| Keolis | is a | French transportation company that operates public transport systems all over the world | 0.90 | text |
| Keolis | is a | partner in the GrandLinq consortium and operator of the Ion rapid transit system in Waterloo Region | 0.90 | text |
The concept neighborhoods around Keolis bring nearby vocabulary together. In this analysis, examples include Operations, Contract and Bus. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Keolis, one of the stronger structural bridges in this analysis connects Keolis with Operations. 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 Keolis 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 — Keolis · EN edition · Analysis: TopicsToTalkAbout