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Vouched | Digital Identity Verification — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
onefinger.org ↗	71 match 2 shared topics	OneFinger™ — Biometric Identity Verification \| Protect Your Identity With One Touch	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chainletter.io ↗	71 match 2 shared topics	Chainletter Labs, Inc. - - Blockchain-Powered Digital File Verification	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
vouchsecuresoftware.com ↗	71 match 2 shared topics	Vouch \| Identity, Employment & Social Verification Without Document Uploads	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vouchsoftwarepro.com ↗	71 match 2 shared topics	Vouch \| Identity, Employment & Social Verification Without Document Uploads	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
openagentidentity.org ↗	71 match 2 shared topics	OAI-1: Open Agent Identity Specification	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
au10tix.com ↗	70 match 2 shared topics	Identity Verification Service - AI-based ID verification \| AU10TIX	Israel~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
au10tixteam.com ↗	70 match 2 shared topics	Identity Verification Service - AI-based ID verification \| AU10TIX	Israel~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
au10tix.ai ↗	70 match 2 shared topics	Identity Verification Service - AI-based ID verification \| AU10TIX	Israel~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
clawid.dev ↗	69 match 2 shared topics	ClawID - Verification for AI Agent Skills	en	information-and-network-security	robotsllmsaihumans	emailphone	none
certified.bz ↗	68 match 2 shared topics	Verity One Ltd. \| TRUTH MATTERS® \| Provenance & Verification	en	information-and-network-security	robotsllmsaihumans	email phone	none
udara.ai ↗	68 match 2 shared topics	Udara — Trusted Identity AI for Africa	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
okta.ph ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.pe ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.my ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.im ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.ec ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.com.ph ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
okta.com.pe ↗	67 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none

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.