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Pitango VC, established in 1993, is Israel’s largest and longest standing venture capital fund with over US$3 billion under management as of 2025, with a recent vintage in 2020 of US$750M making it the largest venture group in Israel.
The analysis highlights History, Technology and Companies as prominent areas in the source structure around Pitango.
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 Pitango shows recurring relationship patterns in the source. For example, Pitango → Although, Boston, Boston-based Polaris Venture Partners, Chemi Peres, In, Israel, Israeli, Kalish, Pitango Venture Capital, Polaris Fund II, Polaris II, Polaris Venture Capital, Rami Kalish, Shimon Peres, Surinam Cherry, The Another extracted example is Pitango → Additionally, AI, DevOps, FinTech, In, These, TransitTech. 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.
venture israel companies capital vc 1993 polaris fund partners invests firm include us funds strategic investments technology notable drivenets appsflyer
TTTA extracted 41 structured relationships around Pitango. Examples in this analysis include Pitango → AUM → USD $3 billion and Pitango → Founded → 1993; 33 years ago (1993). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pitango | AUM | USD $3 billion | 1.00 | infobox |
| Pitango | Founded | 1993; 33 years ago (1993) | 1.00 | infobox |
| Pitango | Founder | Rami Kalish and Chemi Peres | 1.00 | infobox |
| Pitango | Headquarters | Tel Aviv, Israel | 1.00 | infobox |
| Pitango | Industry | Venture capital | 1.00 | infobox |
| Pitango | Number of employees | ~40 | 1.00 | infobox |
| Pitango | Type | Private | 1.00 | infobox |
| Pitango | Website | www.pitango.com | 1.00 | infobox |
| instance of | invested in more than 300 companies and accomplished over 90 companies becoming publicly traded in NASDAQ and NYSE or acquired by strategic players | 0.80 | text | |
| Apple | instance of | invested in more than 300 companies and accomplished over 90 companies becoming publicly traded in NASDAQ and NYSE or acquired by strategic players | 0.80 | text |
| IBM | instance of | invested in more than 300 companies and accomplished over 90 companies becoming publicly traded in NASDAQ and NYSE or acquired by strategic players | 0.80 | text |
| Cisco | instance of | invested in more than 300 companies and accomplished over 90 companies becoming publicly traded in NASDAQ and NYSE or acquired by strategic players | 0.80 | text |
The concept neighborhoods around Pitango bring nearby vocabulary together. In this analysis, examples include Israel, Venture and Name. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pitango, one of the stronger structural bridges in this analysis connects Pitango with Overview. 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 Pitango to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pitango · EN edition · Analysis: TopicsToTalkAbout