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IDCertify - Digital Identity Verification & Trust Infrastructure — 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
decentralisedwallet.org ↗	76 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1armada.com ↗	75 match 1 shared topics	1Armada - Digital Identity Platform for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
btobbes.com ↗	73 match 1 shared topics	Btobbes - Identity Verification & Fraud Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
daon.com ↗	73 match 1 shared topics	The Digital Identity Trust Company - Daon	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
keesingtechnologies.com ↗	72 match 1 shared topics	Identity verification you can trust - Keesing Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
apexkyc.com ↗	72 match 1 shared topics	Apex KYC - Complete KYC Verification Solution \| Identity Verification API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
facetech.my ↗	72 match 1 shared topics	FACE - Digital Identity Platform \| Face Auth \| facetech.my	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kenilglobal.com ↗	72 match 1 shared topics	KenilGlobal \| Identity, KYC & Verification APIs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onescrinid.com ↗	71 match 1 shared topics	OneScrinID \| SSO, KYC & Identity Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladcorsac.com ↗	71 match 1 shared topics	Vlad Corsac — Cybersecurity & Digital Infrastructure	en	information-and-network-security	robotsllmsaihumans	email phone	none
onepassinfinity.com ↗	71 match 1 shared topics	OnePass - Secure Digital Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
4signature.com ↗	70 match 1 shared topics	Creating Trust In A Digital World	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
reputationdao.com ↗	70 match 1 shared topics	Reputation DAO - Verifiable Reputation Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eudigitalid.org ↗	70 match 1 shared topics	EU Digital Identity Wallet \| Information Portal	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digitalidentity.ltd.uk ↗	70 match 1 shared topics	Digital Identity Ltd	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
antiphishing.biz ↗	70 match 1 shared topics	Enterprise-Grade Infrastructure Security & Link Integrity Verification - Antiphishing.biz	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyblinkltd.com ↗	70 match 1 shared topics	Cyberlink \| Secure Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcc-kenya.com ↗	70 match 1 shared topics	MCC IDENTITY – Biometric Identity Verification for Government & Enterprises	en	information-and-network-security	robotsllmsaihumans	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.