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Xhilon - PrivateAI — 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
data-privacy-office.eu ↗	64 match 2 shared topics	Data Privacy Office Europe - DPO Europe	European Union en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
spicyprivacy.com ↗	64 match 2 shared topics	SpicyPrivacy — Privacy Research & AI Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cloaks.ai ↗	64 match 2 shared topics	Cloaks AI Powered Data Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1privacy.ai ↗	63 match 2 shared topics	1Privacy.ai — AI-first privacy. One tool for everything you need.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vitruviuscyber.com ↗	63 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
clipghost.io ↗	63 match 2 shared topics	ClipGhost – Privacy-First Clipboard Security for AI & Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alishtechpartners.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alispartner.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alispartnership.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alispartnerships.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alistechteampartners.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alistechpartnerships.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alistechpartnership.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alistechnology.com ↗	63 match 2 shared topics	ALIS Technology — Intelligent IT, Cybersecurity & Generative AI	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
mdnt.ai ↗	62 match 2 shared topics	Midnight Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
noetroniq.com ↗	62 match 2 shared topics	NOETRONIQ Strategic Initiatives Inc.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nolanopferman.com ↗	62 match 2 shared topics	Nolan Opferman - Computer Systems Engineering Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alikalender.com ↗	62 match 2 shared topics	Ali Kalender — Cybersecurity & AI Engineer	en	artificial-intelligence	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.