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Deep technology (deep tech) is a classification of organization, or more typically startup company, with the expressed objective of providing technology solutions based on substantial scientific or engineering challenges. They focus on challenges requiring lengthy research and development, and large capital investment before successful commercialization.…
The analysis highlights History, Technology, Companies and Art as prominent areas in the source structure around Deep tech. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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.
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The extracted context around Deep tech shows recurring relationship patterns in the source. For example, Deep tech → According, AI, Amazon, Apple, Association, Boston Consulting Group, Business, China, Combinator's, Corporations, Deep Tech Startup Supporters, DTSSA, European, Facebook, Financial Times, Google, HighTechXL, IBM, In Japan, Investment Another extracted example is Deep tech → Bell Labs, Billion, Deep, Hard Tech, Lockheed Martin's Skunk Works, Raytheon Technologies, SBIR, Small Business Administration, Small Business Innovation Research. 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.
deep tech companies scientific innovation also technology research capital technologies funding based investment market engineering private business billion approach high
TTTA extracted 44 structured relationships around Deep tech. Examples in this analysis include Raytheon Technologies → instance of → D divisions at major defense and telecommunications corporations and Google → instance of → 3 billion across 600 deals.Corporations. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Raytheon Technologies | instance of | D divisions at major defense and telecommunications corporations | 0.80 | text |
| Lockheed Martin's Skunk Works | instance of | D divisions at major defense and telecommunications corporations | 0.80 | text |
| and Bell Labs | instance of | D divisions at major defense and telecommunications corporations | 0.80 | text |
| to the more modern definition which increasingly includes companies found in the venture capital ecosystem or awardees of the Small Business Innovation Research | instance of | D divisions at major defense and telecommunications corporations | 0.80 | text |
| instance of | 3 billion across 600 deals.Corporations | 0.80 | text | |
| instance of | 3 billion across 600 deals.Corporations | 0.80 | text | |
| Amazon | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
| IBM | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
| Apple show increased interest towards deep tech applications in AI | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
| virtual reality | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
| drones | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
| self-driving cars | instance of | 3 billion across 600 deals.Corporations | 0.80 | text |
The concept neighborhoods around Deep tech bring nearby vocabulary together. In this analysis, examples include Tech, Companies and Funding. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Deep tech, one of the stronger structural bridges in this analysis connects Deep tech with Definition. 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 Deep tech to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, 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 — Deep tech · EN edition · Analysis: TopicsToTalkAbout