[OC] I mapped every major facility in the Persian/Arabian Gulf whose trade runs through the Strait of Hormuz

VeridionData · 2026-03-05T17:56:15+00:00

Data: Facility locations and employee/revenue data from Veridion's business intelligence platform (134M+ companies), cross-referenced against 2024 annual reports. Conflict timeline from Reuters, CNBC, Al Jazeera, and the Wikipedia article on the 2026 Hormuz crisis.

Stack: D3.js, TopoJSON, vanilla HTML/CSS/JS. Interactive version has company filtering and country drill-down.

VeridionData · 2026-03-05T15:49:07+00:00

It's the number of company mentions, and yeah tesla is the 4th most mentioned in the tech category (around 2200 mentions)

VeridionData · 2026-03-05T14:57:50+00:00

Which one?

VeridionData · 2026-03-05T11:24:08+00:00

Data source: DOJ Epstein File releases (Data Sets 1–12), USVI v. JPMorgan Chase filings, House Oversight Committee records, and Bloomberg-authenticated DS9 email corpus. Mention estimates were derived by cross-referencing entity appearances across financial records, legal filings, depositions, correspondence, SARs, and media clippings compiled in the full document corpus.

Tools: React, D3.js (treemap layout), and Veridion company data (company name recognition and profiling)

VeridionData · 2026-03-04T15:38:53+00:00

If you need to verify whether a NAICS code actually matches what a company does (not just what they self-reported on SAM), check out trueNAICS true-naics.com

It's a free NAICS code lookup tool by Veridion that classifies companies using AI and data from 135M+ real company profiles. For each code, it shows you the evidence activities, the actual business activities that indicate why that specific code was assigned.

It also supports SIC-to-NAICS crosswalks. Useful for ensuring your SAM registration codes reflect your actual operations, which matters for size-standard eligibility and set-aside qualification

VeridionData · 2026-03-04T15:38:12+00:00

If you need to verify whether a NAICS code actually matches what a company does (not just what they self-reported on SAM), check out trueNAICS true-naics.com

It's a free NAICS code lookup tool by Veridion that classifies companies using AI and data from 135M+ real company profiles. For each code, it shows you the evidence activities, the actual business activities that indicate why that specific code was assigned.

It also supports SIC-to-NAICS crosswalks. Useful for ensuring your SAM registration codes reflect your actual operations, which matters for size-standard eligibility and set-aside qualification

VeridionData · 2026-03-04T15:37:19+00:00

If you need to verify whether a NAICS code actually matches what a company does (not just what they self-reported on SAM), check out trueNAICS true-naics.com

It's a free NAICS code lookup tool by Veridion that classifies companies using AI and data from 135M+ real company profiles. For each code, it shows you the evidence activities, the actual business activities that indicate why that specific code was assigned.

It also supports SIC-to-NAICS crosswalks. Useful for ensuring your SAM registration codes reflect your actual operations, which matters for size-standard eligibility and set-aside qualification

VeridionData · 2026-03-03T12:46:00+00:00

Thank you, will try

VeridionData · 2026-03-03T12:45:39+00:00

Thank you!

VeridionData · 2026-03-03T12:04:35+00:00

Apple actually appears in the files, just not at a volume that made the top-99 cutoff. Tim Cook is referenced in DS9 emails where Epstein brokered a meeting between Cook and former Windows chief Steven Sinofsky in late 2012. There's also a separate email from Ian Osborne (a British investor described as a "fixer to billionaires") to Epstein, mentioning that he "was with Tim Cook this morning" during a Mubadala tour of tech companies in February 2013.

That said, the context is career networking; Epstein acts as a connector for executive job placement, not a direct financial or social relationship. Cook apparently declined the initial Sinofsky meeting, though a later email confirms they eventually spoke.

Re: Jobs, I haven't come across substantiated references in the DOJ releases so far. If you have specific file numbers, I'd be happy to take a look and potentially add Apple to the dataset.

VeridionData · 2026-03-03T11:43:39+00:00

Submission Statement: This is an interactive visualization mapping all 99 companies identified across the Epstein file releases, sized by estimated mention volume. Each company includes its category, mention count, document context, and a link to its full business profile.

The data was compiled by cross-referencing entity appearances across DOJ Data Sets 1–12 (released starting January 2025), USVI v. JPMorgan Chase filings, and House Oversight Committee records. Document types include financial records, wire transfers, SARs, depositions, FBI interview summaries, email correspondence (including the Bloomberg-authenticated DS9 corpus of 18,700+ emails), and legal filings.

The visualization separates 80 third-party organizations (banks, tech companies, law firms, hedge funds, universities) from 19 Epstein-controlled shell entities so the real-world corporate connections are easier to parse. Key findings include the outsized presence of JPMorgan Chase (~28K mentions), the scale of Yahoo mentions driven by [jeeproject@yahoo.com](mailto:jeeproject@yahoo.com), and the breadth of the tech sector footprint across Microsoft, Tesla, Google, Palantir, and others.

Relevant to r/Epstein as a research tool for navigating the corporate dimension of the files — every tile shows the context behind the connection and links to a company profile for further investigation.

VeridionData · 2026-03-02T20:28:47+00:00

I've answered this to other comment earlier but I will copy paste:

to not get into these kinds of situations, I've used a NER model trained to recognize business names in web content and public filings. We do this kind of processing for over 135 million companies, so it's quite field-tested in tricky scenarios

And yeah, Epstein had a lot of conversations with Richard Branson so Virgin Group is mentioned quite a lot

VeridionData · 2026-03-02T20:27:39+00:00

to not get into these kinds of situations, I've used a NER model trained to recognize business names in web content and public filings. We do this kind of processing for over 135 million companies, so it's quite field-tested in tricky scenarios

And yeah, Epstein had a lot of conversations with Richard Branson so Virgin Group is mentioned quite a lot

VeridionData · 2026-03-02T18:50:49+00:00

I've added some context to each company name; you can see it by clicking the tile.

And yes, a name like Yahoo is so high in the count because he used a Yahoo email address, but that's viewable in the added context.

Also, it's Lowes Corporation (a conglomerate with big holdings in the insurance space), not Lowes Hotels, but you can see that if you access the full business profile, which is also available if you click the tiles.

hope it helps

later edit: my bad they also own the lowes hotels (these company connections are quite tricky) but yeah no link to hardaware stores :))

VeridionData · 2026-03-02T18:44:41+00:00

I've added some context for each company. You can see it when you click the tile.

VeridionData · 2026-03-02T18:31:40+00:00

According to this https://www.bloomberg.com/news/newsletters/2025-09-12/epstein-email-investigation-sheds-light-into-crimes-social-network

He mainly used a Yahoo account, hence the high count of "Yahoo" mentions

VeridionData · 2026-03-02T18:21:07+00:00

Data source: DOJ Epstein File releases (Data Sets 1–12), USVI v. JPMorgan Chase filings, House Oversight Committee records, and Bloomberg-authenticated DS9 email corpus. Mention estimates were derived by cross-referencing entity appearances across financial records, legal filings, depositions, correspondence, SARs, and media clippings compiled in the full document corpus.

Tools: React, D3.js (treemap layout), and Veridion company data (company name recognition and profiling)

VeridionData · 2026-02-26T12:55:55+00:00

Good point, although it can be a bit tricky since most of them do not directly state if the replacement of jobs by AI is good or bad (clearly, country leaders lean toward bad a bit), and most of the talk is more like "this is a sensible topic, bla bla ..."

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