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Datarails is a financial technology company that provides FinanceOS, a finance operating system for consolidating and governing financial data, making it ready for use with AI tools. Founded in 2015, the company is headquartered in New York City and is incorporated in Delaware.
The analysis highlights History, Companies, Art and Technology as prominent areas in the source structure around Datarails.
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 Datarails shows recurring relationship patterns in the source. For example, Datarails → CEO, Claltech, COO, CTO, Didi Gurfinkel, Excel-connected FP, Eyal Cohen, In June, Innovation Endeavors, Israel's Qumra Capital, Israeli, La Maison Partners, March, Oded Har-Tal, Series, US, Vertex Ventures, Vintage Investment Partners, Zeev Ventures Another extracted example is Datarails → Award, B2B, Cybersecurity, Deloitte Technology Fast, In October, North America, The Information, The Most Promising Startup. Use these groups to spot repeated connection types before inspecting the individual relationships.
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company financial financeos finance data 2026 ai technology system founded 2015 million 2024 operating product new york raised series led
TTTA extracted 51 structured relationships around Datarails. Examples in this analysis include Datarails → Founded → 2015; 11 years ago (2015) and Datarails → Founders → Didi Gurfinkel, Eyal Cohen, and Oded Har-Tal. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Datarails | Founded | 2015; 11 years ago (2015) | 1.00 | infobox |
| Datarails | Founders | Didi Gurfinkel, Eyal Cohen, and Oded Har-Tal | 1.00 | infobox |
| Datarails | Headquarters | New York, US | 1.00 | infobox |
| Datarails | Industry | Financial technology | 1.00 | infobox |
| Datarails | Number of employees | 320 (2026) | 1.00 | infobox |
| Datarails | Type | Privately held company | 1.00 | infobox |
| Datarails | Website | datarails.com | 1.00 | infobox |
| Datarails | is a | financial technology company that provides FinanceOS | 0.90 | text |
| The CFO’s Office 2.0 which has been cited in news sites including Financial Times | instance of | PublicationsDatarails releases several annual reports | 0.80 | text |
| Fortune | instance of | PublicationsDatarails releases several annual reports | 0.80 | text |
| and Forbes.Datarails releases several annual reports such as The CFO’s Office 2.0 which has been cited in news sites including CFO.com | instance of | PublicationsDatarails releases several annual reports | 0.80 | text |
| CFO Dive | instance of | PublicationsDatarails releases several annual reports | 0.80 | text |
The concept neighborhoods around Datarails bring nearby vocabulary together. In this analysis, examples include Financial, Technology and Ai. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Datarails, one of the stronger structural bridges in this analysis connects Datarails 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.
TTTA analyzes the structure around Datarails 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 — Datarails · EN edition · Analysis: TopicsToTalkAbout
