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HOME - MATVIS — 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
crystalalpha.com ↗	64 match 2 shared topics	Home \| Crystal Alpha	de	information-and-network-security Wix	robots llmsaihumans	emailphone	none
f-ern.de ↗	62 match 2 shared topics	Homepage of Felix Ern	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
aisafety.video ↗	61 match 2 shared topics	Where can I find videos about AI safety? - Google Docs	de	information-and-network-security	robotsllmsaihumans	emailphone	none
barallyloa.com ↗	61 match 2 shared topics	Barallyloa - Intelligente Sicherheitsplattform für digitale Workflows und Compliance.	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
edgewatch.de ↗	61 match 2 shared topics	First-Party Cybersecurity Intelligence for the AI Era - Edgewatch	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
presidio-group.de ↗	61 match 2 shared topics	PRESIDIO — hardened engineering for compliant AI	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
aelirliora.world ↗	61 match 2 shared topics	Aelirliora - Intelligenter Schutz für digitale Transaktionen und Vermögenswerte	de	information-and-network-security	robotsllmsaihumans	email phone	none
toravexilun.com ↗	61 match 2 shared topics	Toravexilun - Transaktionssicherheit durch künstliche Intelligenz im Finanzumfeld	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
mitsicherheit.ai ↗	60 match 2 shared topics	MitSicherheit.ai \| KI-Compliance einfach gemacht	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
torixelavunat.com ↗	60 match 2 shared topics	KOMILAXON ERGASHEVA - Intelligente Sicherheitsprotokolle für digitale Transaktionen	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
fabianhauck.de ↗	60 match 2 shared topics	Fabian Hauck	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
maajhandewalantour.com ↗	60 match 2 shared topics	KI-basierte Managed Security für KMU: 24/7 Monitoring & Response	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mindsignals.ai ↗	60 match 2 shared topics	MindSignals — Trace Data Intelligence	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ericspeidel.de ↗	60 match 2 shared topics	whoami - Eric Speidel, Informatiker aus Tübingen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
extra-group.de ↗	60 match 2 shared topics	EXTRA Group · Eigentümergeführtes Familienunternehmen · Plattformen mit eigenen Schutzrechten	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
privaciety.de ↗	60 match 2 shared topics	privaciety - Datenschutz einfach weiter gedacht	Germany de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
fa-kueppers.de ↗	60 match 2 shared topics	Sachverständiger für KI & KI-Sicherheit – Dr. Fabian Küppers	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
sprachenfreak.com ↗	60 match 2 shared topics	AXYS: Die BGH-konforme Resilienz-Architektur – TEILFEHLT Mannheim	de	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.