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Salesforce, Inc. is an American enterprise software company headquartered in San Francisco, California. It is best known for customer relationship management software and related applications, which the corporation delivers through a software as a service subscription business model. It also provides software for sales, customer service, marketing…
The analysis highlights History, Geography, Companies and Art as prominent areas in the source structure around Salesforce.
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 Salesforce shows recurring relationship patterns in the source. For example, Salesforce → CloudCraze, DocuSign, Domo, Dropbox, Figure Eight, FinancialForce, Forter, Generative AI Fund, In, In August, In December, In June, In September, Japan Trailblazer Fund, Japanese, John Somorjai, Salesforce Ventures, Salesforce1 Fund, September, SFV Another extracted example is Salesforce → Activa Live Chat, AI, Buddy Media, Dimdim, ExactTarget, GoInstant, Heroku, In, Instranet, Jigsaw, Kieden, Koral, MinHash, Radian6, RelateIQ, Ruby, Rypple, Sendia, SteelBrick, Tempo. 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 software platform billion announced acquired benioff service million data customer services 2026 september 2024 ai march san francisco companies
TTTA extracted 291 structured relationships around Salesforce. Examples in this analysis include Salesforce → ASN → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r… and Salesforce → Formerly → Salesforce.com, Inc. (1999–2022). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Salesforce | ASN | .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r… | 1.00 | infobox |
| Salesforce | Formerly | Salesforce.com, Inc. (1999–2022) | 1.00 | infobox |
| Salesforce | Founded | March 8, 1999; 27 years ago (1999-03-08) | 1.00 | infobox |
| Salesforce | Founders | Marc Benioff | 1.00 | infobox |
| Salesforce | Founders | Parker Harris | 1.00 | infobox |
| Salesforce | Founders | Dave Moellenhoff | 1.00 | infobox |
| Salesforce | Founders | Frank Dominguez | 1.00 | infobox |
| Salesforce | Headquarters | Salesforce Tower San Francisco, California, U.S. | 1.00 | infobox |
| Salesforce | Industry | Information technology | 1.00 | infobox |
| Salesforce | Key people | Marc Benioff (chairman & CEO) | 1.00 | infobox |
| Salesforce | Key people | Parker Harris (CTO) | 1.00 | infobox |
| Salesforce | Net income | US$7.457 billion (2026) | 1.00 | infobox |
| Salesforce | Number of employees | 83,334 (2026) | 1.00 | infobox |
| Salesforce | Operating income | US$8.331 billion (2026) | 1.00 | infobox |
| Salesforce | Products | Enterprise software | 1.00 | infobox |
| Salesforce | Products | Cloud computing | 1.00 | infobox |
| Salesforce | Products | Platform as a service | 1.00 | infobox |
| Salesforce | Revenue | US$41.525 billion (2026) | 1.00 | infobox |
| Salesforce | Services | Software as a service | 1.00 | infobox |
| Salesforce | Services | Consulting | 1.00 | infobox |
| Salesforce | Subsidiaries | Quip | 1.00 | infobox |
| Salesforce | Subsidiaries | Heroku | 1.00 | infobox |
| Salesforce | Subsidiaries | MuleSoft | 1.00 | infobox |
| Salesforce | Subsidiaries | Tableau Software | 1.00 | infobox |
| Salesforce | Subsidiaries | Acumen Solutions | 1.00 | infobox |
| Salesforce | Subsidiaries | Slack Technologies | 1.00 | infobox |
| Salesforce | Subsidiaries | Informatica | 1.00 | infobox |
| Salesforce | Total assets | US$112.305 billion (2026) | 1.00 | infobox |
| Salesforce | Total equity | US$59.142 billion (2026) | 1.00 | infobox |
| Salesforce | Traded as | NYSE: CRM | 1.00 | infobox |
The concept neighborhoods around Salesforce bring nearby vocabulary together. In this analysis, examples include Platform, Billion and Announced. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Salesforce, one of the stronger structural bridges in this analysis connects Salesforce 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 Salesforce to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Companies & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Salesforce · EN edition · Analysis: TopicsToTalkAbout