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Quantum Aegis (QAegis) | Secure AI Infrastructure & Post-Quantum Cybersecurity — 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
mindmate.ai ↗	74 match 2 shared topics	MindMate - Secure AI Infrastructure	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gruve.ai ↗	72 match 2 shared topics	AI Security & Infrastructure for Enterprise \| Gruve	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
gruveusa.com ↗	72 match 2 shared topics	AI Security & Infrastructure for Enterprise \| Gruve	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qsecorp.org ↗	71 match 2 shared topics	Quantum Resilience Infrastructure for the AI Era — QSE	en	information-and-network-security	robots llmsaihumans	emailphone	none
gsconsultingllc.com ↗	71 match 2 shared topics	GS Consulting \| Secure AI, Cybersecurity, Software & Data Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
quantumshieldai.io ↗	70 match 2 shared topics	QuantumShieldAI - Future-Proof Cybersecurity Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
qguardian.org ↗	70 match 2 shared topics	QGuardian – Quantum-Resilient Cybersecurity Using Federated Learning	en	information-and-network-security	robotsllmsaihumans	emailphone	none
obsidia.tech ↗	70 match 2 shared topics	Obsidia — Security Infrastructure, AI & Digital Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
guarddog.ai ↗	70 match 2 shared topics	GuardDog AI — Autonomous Cybersecurity for Hybrid Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csspki.com ↗	70 match 2 shared topics	Trust Infrastructure for AI & Machines - Keyfactor	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
chillno.com ↗	70 match 2 shared topics	CoreExo \| Secure Local AI Infrastructure	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sevensteelgroup.com ↗	70 match 2 shared topics	SevenSteel \| AI Security & Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	70 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
twinited.com ↗	70 match 2 shared topics	Twinited - AI Infrastructure Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tumeryk.com ↗	69 match 2 shared topics	Tumeryk \| AI Trust Infrastructure for Enterprise Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
grvpoc.com ↗	69 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
astha.ai ↗	69 match 2 shared topics	Astha — Runtime Security & Compliance for AI Agent Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	full · 15
astreoninnovations.com ↗	69 match 2 shared topics	Astreon Innovations \| AI-Powered Cybersecurity	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.