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Starcast Group - Trusted Identity Verification & Data Solutions — 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
athentee.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athenty.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
athentea.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athentification.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athentication.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
athenticating.com ↗	74 match 1 shared topics	Athenty — Identity Verification & KYC Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
certified-id.org ↗	73 match 1 shared topics	Certified ID – Trusted Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ekyc-africa.com ↗	73 match 1 shared topics	eKYC Africa - Digital Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eid-me.com ↗	72 match 1 shared topics	Bluink eID-Me \| Identity verification and digital ID	en	information-and-network-security	robotsllmsaihumans	email phone	none
realauthenticator.app ↗	72 match 1 shared topics	Real Authenticator — Identity Verification You Can Trust	en	information-and-network-security	robots llmsaihumans	emailphone	none
eidas-pro.com ↗	72 match 1 shared topics	eIDAS Pro - European Digital Identity Verification	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
checkyourid.com ↗	72 match 1 shared topics	CheckYourID \| Enterprise KYC, KYB & Identity Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digidentity.eu ↗	72 match 1 shared topics	Digidentity \| Trusted Solutions for Digital Identity	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
check-am.com ↗	71 match 1 shared topics	Checkam: Identity Verification Service \| Business Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hypr.com ↗	71 match 1 shared topics	HYPR: Identity Verification & Passwordless Authentication for Identity Assurance	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
nxtgenidentity.com ↗	70 match 1 shared topics	NxtGen Identity Solutions — IAM Solution Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
checknid.com ↗	70 match 1 shared topics	CheckNID API - National ID Verification Solution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mccidentity.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.