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OpenOrigins - Digital Media Verification and Trust Layer for the Internet — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
useopenoriginsapp.com ↗	100 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessopenorigins.com ↗	100 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
joinopenoriginslive.com ↗	100 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
joinopenorigins.com ↗	100 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
devlopak.com ↗	70 match 1 shared topics	The Trust Layer for Modern Applications • Devlopak	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lumiid.com ↗	70 match 1 shared topics	LumiID \| Digital Identity & KYC Verification for Africa	en	information-and-network-security	robotsllmsaihumans	emailphone	none
uqudo.com ↗	70 match 1 shared topics	Digital Identity Verification Company \| UAE, Middle East, Africa	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
harjoot.com ↗	70 match 1 shared topics	Harjoot - Enterprise Document Certification & Digital Integrity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acalna.com ↗	69 match 1 shared topics	Taeste: Proof of Life for the Internet	CA~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
7slots-protection.tech ↗	68 match 1 shared topics	Dashboard — Brand Verification & Integrity System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usetrulyyou.com ↗	68 match 1 shared topics	TrulyYou — The identity layer the internet is missing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aviontex.com ↗	68 match 1 shared topics	Finally, a Solution for Your Privacy and the Internet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swiftcodeverify.com ↗	68 match 1 shared topics	Bypass SMS and Text Verification With Real USA Numbers - SwiftCodeVerify	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deviceverification.com ↗	68 match 1 shared topics	Device Verification \| DeviceAtlas	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
devicevalidator.com ↗	68 match 1 shared topics	Device Verification \| DeviceAtlas	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
deviceassure.com ↗	68 match 1 shared topics	Device Verification \| DeviceAtlas	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
flowstatedigital.co.uk ↗	68 match 1 shared topics	FlowState Digital \| Strategic Business Fortification	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
usewultra.com ↗	68 match 1 shared topics	Wultra \| Digital Identity for Today and the Quantum Era	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.