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Taboola: History, Art, Technology & Companies
Taboola is a public advertising technology company headquartered in New York City. Founded in 2007 by Adam Singolda, who serves as its CEO, the company operates a digital advertising platform that connects advertisers with audiences across a network of publisher websites and digital properties. Taboola's platform uses machine learning techniques…
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Taboola topic overview
The analysis highlights History, Art, Technology and Companies as prominent areas in the source structure around Taboola.
Related topics
43
Source areas
5
Connected nodes
48
Extracted relationships
102
Concept neighborhoods
17
Bridge connections
48
What this topic covers Research coverage
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.
History · 19 topics
Reception · 11 topics
Partnerships · 6 topics
Overview · 5 topics
Products and services · 2 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2007; 19 years ago (2007)
Industry
Technology
Headquarters
New York City, U.S.
Founder
Adam Singolda
Key people
Adam Singolda (CEO) · Eldad Maniv (president, COO) · Stephen Walker (CFO) · Lior Golan (CTO)
Net income
US$−42.3 million (2025)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Taboola connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Taboola shows recurring relationship patterns in the source. For example, Taboola → AI-powered, AOL, Decision Engine, Directors, Element Generator, Engadget, Finance, In, In April, In February, News, OEM, On November, Realize, Sports, Taboola Ads, Taboola Board, Taboola's, Under, Yahoo Another extracted example is Taboola → According, Adam Singolda, Advertiser-sponsored, BBC, Fortune, In May, Is Beyond Stunning, Jeff Bridges' Magnificent Home, Outbrain, Pictures All On One, Popular, Singolda, Site, The, The World's Cutest Cat, Web. Use these groups to spot repeated connection types before inspecting the individual relationships.
Taboola
Top relations
related to Yahoo partnership· 22
Taboola → AI-powered, AOL, Decision Engine, Directors, Element Generator, Engadget, Finance, In, In April, In February, News, OEM, On November, Realize, Sports, Taboola Ads, Taboola Board, Taboola's, Under, Yahoo
related to Reception· 16
Taboola → According, Adam Singolda, Advertiser-sponsored, BBC, Fortune, In May, Is Beyond Stunning, Jeff Bridges' Magnificent Home, Outbrain, Pictures All On One, Popular, Singolda, Site, The, The World's Cutest Cat, Web
related to history· 12
Taboola → Adam Singolda, August, By, In December, In February, Initially, Israel, New York City, November, Series, Taboola Choice, The
related to Partnerships· 7
Taboola → Apple News, In July, In March, Microsoft, MSN, Outlook Mail, Taboola’s
related to Products and services· 7
Taboola → AI, AI-driven, DeeperDive, For, In June, Its, Realize
related to Publisher products and services· 5
Taboola → AI, DeeperDive, DeeperDive In, The Independent, USA Today
Key people· 4
Taboola → Adam Singolda (CEO), Eldad Maniv (president, COO), Lior Golan (CTO), Stephen Walker (CFO)
Founded· 1
Taboola → 2007; 19 years ago (2007)
Founder· 1
Taboola → Adam Singolda
Headquarters· 1
Taboola → New York City, U.S.
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 102 structured relationships around Taboola. Examples in this analysis include Taboola → Founded → 2007; 19 years ago (2007) and Taboola → Founder → Adam Singolda. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Taboola
Founded
2007; 19 years ago (2007)
1.00
infobox
Taboola
Founder
Adam Singolda
1.00
infobox
Taboola
Headquarters
New York City, U.S.
1.00
infobox
Taboola
Industry
Technology
1.00
infobox
Taboola
Key people
Adam Singolda (CEO)
1.00
infobox
Taboola
Key people
Eldad Maniv (president, COO)
1.00
infobox
Taboola
Key people
Stephen Walker (CFO)
1.00
infobox
Taboola
Key people
Lior Golan (CTO)
1.00
infobox
Taboola
Net income
US$−42.3 million (2025)
1.00
infobox
Taboola
Number of employees
c. 2,000 (2024)
1.00
infobox
Taboola
Number of locations
35
1.00
infobox
Taboola
Operating income
US$44.1 million (2025)
1.00
infobox
Taboola
Products
Realize, DeeperDive, Taboola Feed, Taboola for Audience, and Taboola News
1.00
infobox
Taboola
Revenue
US$1.9 billion (2025)
1.00
infobox
Taboola
Total assets
US$1.60 billion (2025)
1.00
infobox
Taboola
Traded as
Nasdaq: TBLA
1.00
infobox
Taboola
Type
Public
1.00
infobox
Taboola
Website
taboola.com realize.com
1.00
infobox
Taboola
is a
public advertising technology company headquartered in New York City
0.90
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Taboola bring nearby vocabulary together. In this analysis, examples include Content, Company and News. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Taboola
Content
Company
News
Publishers
Technology
Audience
Ads
Including
Personalization
Within
Yahoo
Launched
taboola
Content
Company
News
Publishers
Technology
Audience
Ads
Including
Personalization
Within
Yahoo
Launched
the weather company
Taboola
Websites
Launched
Technology
Including
Engine
Singolda
Content
Across
Recommendations
Publisher
Adam
symphony technology group
Recommendations
News
York
Content
Within
Across
Publisher
Platform
Adam
Personalization
Allowing
Include
yahoo! news
Sites
Recommendations
Taboola
Technology
Also
News
Realize
Within
Yahoo
Publisher
Million
Users
internet advertising bureau (iab) uk
Taboola
Across
Company
Content
Advertisers
Platform
Technology
Publisher
Websites
Ads
Realize
Include
new york city
New
York
Adam
Million
Singolda
Audience
Ai
Technology
Sites
Advertisers
Personalization
Within
nbc news
Sites
Recommendations
Taboola
Technology
Within
Yahoo
Realize
Publisher
York
Allowing
Singolda
Users
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Taboola, one of the stronger structural bridges in this analysis connects Taboola 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Taboola
Nodes49
Edges48
Triples102
Avg. degree1.96
Density0.040816
Components1
Source & methodology
TTTA analyzes the structure around Taboola to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
