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Private Machines Inc. | High Performance Zero Trust Infrastructure Tech — 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
platfabric.com ↗	69 match 1 shared topics	PlatFabric \| Trust Infrastructure & Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pkiless.com ↗	68 match 1 shared topics	PKILESS - Less Infrastructure. More Trust.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberimmunesystem.co.uk ↗	68 match 1 shared topics	QuantumHandshake™ — Governance-Grade Trust Infrastructure	GB en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
5thnode.com ↗	67 match 1 shared topics	5thnode \| Product & Trust Infrastructure for Web3 and AI Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybexo.org ↗	67 match 1 shared topics	CYBEXO \| Compliance Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybexo.net ↗	67 match 1 shared topics	CYBEXO \| Compliance Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybexo.dev ↗	67 match 1 shared topics	CYBEXO \| Compliance Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybexo.app ↗	67 match 1 shared topics	CYBEXO \| Compliance Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
actbadge.com ↗	67 match 1 shared topics	ActBadge — Turn credentials into trusted infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
networks-unlimited.co.uk ↗	67 match 1 shared topics	NU :: Enterprise Security \| Infrastructure Performance Management \| IT Service Management :: Data Forensics	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
networksunlimited.co.uk ↗	67 match 1 shared topics	NU :: Enterprise Security \| Infrastructure Performance Management \| IT Service Management :: Data Forensics	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
cxodynamics.com ↗	67 match 1 shared topics	CyberCXO \| Trusted Advisers for IT Infrastructure and Cyber Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
syntric-solutions.com ↗	67 match 1 shared topics	Syntric — Secure Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dragonvigil.org ↗	66 match 1 shared topics	DragonVigil - Infrastructure Viewer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pkroot.com ↗	66 match 1 shared topics	PKRoot - Public Key Infrastructure and Root of Trust \| pkroot.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swornlabs.com ↗	66 match 1 shared topics	Sworn Labs — Truth Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usepraxis.app ↗	66 match 1 shared topics	Praxis — Runtime Governance Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	none
demoxlabs.com ↗	66 match 1 shared topics	Demox Labs - Privacy Infrastructure for ZK Blockchains	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.