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Mobileye Global Inc. is a United States-domiciled, Israel-headquartered autonomous driving company. It is developing physical AI technologies, including self-driving and advanced driver-assistance systems (ADAS) as well as humanoid robotics. Mobileye was acquired by Intel in 2017 and went public again in 2022.
The analysis highlights Technology, History, Art and Measurement as prominent areas in the source structure around Mobileye.
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 Mobileye shows recurring relationship patterns in the source. For example, Mobileye → ADAS, Also, April Mobileye, ATS, AVs, BMW, China, Delphi, DTS, EyeQ, Ford, Ford's, Geely, German, GM Cadillac STS, In, In February, In July, Intel, Japan Another extracted example is Mobileye → China, Düsseldorf, Germany, In, Israel, It, Japan, Manhattan, Midtown, Shanghai, The, Tokyo. 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.
adas announced system intel technology autonomous vehicles mobileye's public self-driving eyeq cameras first 2017 israel rss shaoul 2021 data driving
TTTA extracted 147 structured relationships around Mobileye. Examples in this analysis include Mobileye → Founded → May 13, 1999; 27 years ago (1999-05-13) in Jerusalem, Israel and Mobileye → Founders → Amnon Shashua. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mobileye | Founded | May 13, 1999; 27 years ago (1999-05-13) in Jerusalem, Israel | 1.00 | infobox |
| Mobileye | Founders | Amnon Shashua | 1.00 | infobox |
| Mobileye | Founders | Norio Ichihashi | 1.00 | infobox |
| Mobileye | Founders | Ziv Aviram | 1.00 | infobox |
| Mobileye | Headquarters | Jerusalem, Israel | 1.00 | infobox |
| Mobileye | Industry | Automotive | 1.00 | infobox |
| Mobileye | Industry | Autonomous cars | 1.00 | infobox |
| Mobileye | Key people | Amnon Shashua (president and CEO) | 1.00 | infobox |
| Mobileye | Key people | Saf Yeboah-Amankwah (chairman) | 1.00 | infobox |
| Mobileye | Net income | US$−3.1 billion (2024) | 1.00 | infobox |
| Mobileye | Number of employees | 3,900 (2024) | 1.00 | infobox |
| Mobileye | Operating income | US$−3.2 billion (2024) | 1.00 | infobox |
| Mobileye | Owner | Intel (88.3%) | 1.00 | infobox |
| Mobileye | Products | EyeQ | 1.00 | infobox |
| Mobileye | Products | REM | 1.00 | infobox |
| Mobileye | Products | RSS | 1.00 | infobox |
| Mobileye | Products | Mobileye SuperVision | 1.00 | infobox |
| Mobileye | Products | Mobileye Drive | 1.00 | infobox |
| Mobileye | Products | Mobileye Robotaxi | 1.00 | infobox |
| Mobileye | Revenue | US$1.65 billion (2024) | 1.00 | infobox |
| Mobileye | Total assets | US$12.6 billion (2024) | 1.00 | infobox |
| Mobileye | Total equity | US$12.1 billion (2024) | 1.00 | infobox |
| Mobileye | Traded as | Nasdaq: MBLY (Class A) | 1.00 | infobox |
| Mobileye | Type | Public subsidiary | 1.00 | infobox |
| Mobileye | Website | mobileye.com | 1.00 | infobox |
The concept neighborhoods around Mobileye bring nearby vocabulary together. In this analysis, examples include Announced, Public and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mobileye, one of the stronger structural bridges in this analysis connects Mobileye with Partnerships. 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 Mobileye to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, History, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mobileye · EN edition · Analysis: TopicsToTalkAbout