Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Dataminr is an artificial intelligence company. The company's private sector product, Dataminr Pulse, is used by corporations to monitor real-time events, and to aid with crisis response by providing playbooks, messaging tools and post-event documentation. Dataminr's First Alert technology is used by first responders, such as those helping to provide aid…
The analysis highlights History, Companies, Art and Technology as prominent areas in the source structure around Dataminr.
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 Dataminr shows recurring relationship patterns in the source. For example, Dataminr → CNN, In, Jeff Kinsey, Laden, News, Osama, Sam Hendel, Ted Bailey, Twitter, Yale University Another extracted example is Dataminr → April, From October, Houston, In, LAPD, Los Angeles, Palestinian, The Intercept, The University. 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.
alert company first social new york surveillance 2025 protests media events pro-palestinian real-time people lapd news million intelligence used response
TTTA extracted 48 structured relationships around Dataminr. Examples in this analysis include Dataminr → Founded → 2009; 17 years ago (2009) and Dataminr → Founders → Ted Bailey. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dataminr | Founded | 2009; 17 years ago (2009) | 1.00 | infobox |
| Dataminr | Founders | Ted Bailey | 1.00 | infobox |
| Dataminr | Headquarters | Manhattan, New York, U.S. | 1.00 | infobox |
| Dataminr | Industry | Real-time information | 1.00 | infobox |
| Dataminr | Key people | Ted Bailey, CEO | 1.00 | infobox |
| Dataminr | Number of employees | 1050+ (2022) | 1.00 | infobox |
| Dataminr | Products | Software as a Service | 1.00 | infobox |
| Dataminr | Type | Private company | 1.00 | infobox |
| Dataminr | Website | dataminr.com | 1.00 | infobox |
| Dataminr | is a | artificial intelligence company | 0.90 | text |
| Feedly | instance of | Similar applications can be achieved by social surveillance vendors | 0.80 | text |
| Geofeedia | instance of | Similar applications can be achieved by social surveillance vendors | 0.80 | text |
The concept neighborhoods around Dataminr bring nearby vocabulary together. In this analysis, examples include Alert, First and Protests. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dataminr, one of the stronger structural bridges in this analysis connects Dataminr 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 Dataminr to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dataminr · EN edition · Analysis: TopicsToTalkAbout