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Axons One - Connecting Stars — 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
elconekt.com ↗	67 match 2 shared topics	Elconekt — Engineering Smarter, Safer Systems	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
nolanopferman.com ↗	65 match 2 shared topics	Nolan Opferman - Computer Systems Engineering Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
efurd.dev ↗	64 match 2 shared topics	Corley Efurd — IT Solutions Architect \| Cybersecurity Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
themedleyconsulting.com ↗	64 match 2 shared topics	The Medley Consulting \| Enterprise Security & AI Governance	United States~ en	information-and-network-security	robots llms aihumans	emailphone	full · 9
cantina.xyz ↗	64 match 2 shared topics	Cantina \| AI-Native Security, Backed by Human Expertise	en	information-and-network-security	robots llmsaihumans	emailphone	none
splashtag.io ↗	64 match 2 shared topics	Splashtag \| secure, manage, innovate	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
avatier.com ↗	64 match 2 shared topics	AI Powered IAM & Security Solutions - Avatier	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
crystalcomet.io ↗	64 match 2 shared topics	Crystal Comet Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lwcresearch.com ↗	64 match 2 shared topics	Software Strategies Blog - Researching the intersection of AI, machine learning and cybersecurity in the enterprise	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cloakprotect.org ↗	64 match 2 shared topics	Cloak - Content Protection Without Friction	en	information-and-network-security	robotsllmsaihumans	emailphone	none
no-repy.com ↗	64 match 2 shared topics	Phishbite - creating employee security awareness by phishing tests	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xhunter.io ↗	64 match 2 shared topics	0xHunter - Continous Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lectaai.com ↗	64 match 2 shared topics	Lecta Intelligence Lab	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
nextcaller.co.uk ↗	64 match 2 shared topics	Deepfake Defense for Calls, Virtual Meetings, & Contact Centers \| Pindrop	United Kingdom en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
vizazigroup.com ↗	64 match 2 shared topics	Vizazi Group Cybersecurity and AI Solutions \| Vizazi Group	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voicesecurity.org ↗	64 match 2 shared topics	Deepfake Defense for Calls, Virtual Meetings, & Contact Centers \| Pindrop	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
eibis.ai ↗	64 match 2 shared topics	EIBIS Technology \| AI Solutions, Software Development & IT Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nixnode.dev ↗	64 match 2 shared topics	NixNode - Arman Raza \| AI Orchestration & Full-Stack Architecture	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.