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EndPointIP – AI-Powered IP Intelligence — 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
glinlabs.com ↗	76 match 2 shared topics	GLINLABS - AI-Powered Security Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
netsentinel.net ↗	75 match 2 shared topics	NetSentinel — AI-Powered Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aintelligence.site ↗	75 match 2 shared topics	AIntelligence - AI-Powered IT Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
myonlineciso.com ↗	74 match 2 shared topics	myonlineciso.com — AI-Powered Security Intelligence	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
neurosparkai.io ↗	74 match 2 shared topics	NeuroSpark (NSP) \| AI-Powered Web3 Security & Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
airgapintelligence.ai ↗	73 match 2 shared topics	AirGap Intelligence — AI-Powered Security Audit Suite	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybershield.cafe ↗	72 match 2 shared topics	Sentient QuantumShield — AI-Powered Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kbsoftware.org ↗	71 match 2 shared topics	KB Software LLC — AI-Powered Security & Intelligence Platform	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
dataminr.com ↗	71 match 2 shared topics	AI-Powered Real-Time Event, Threat & Risk Intelligence - Dataminr	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
myplanetguard.com ↗	70 match 2 shared topics	PlanetGuard UESM \| AI-Powered Unified Endpoint Security Management	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mytaniumevent.com ↗	70 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mytaniumevents.com ↗	70 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
demolition-equipment.com ↗	70 match 2 shared topics	MDLabCA — Offensive Security, Red Team, Threat Intelligence & AI-Powered Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
kezel.io ↗	70 match 2 shared topics	Kezel® – Secure Intelligence Where Your Data Lives	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tenjinai.ai ↗	70 match 2 shared topics	Tenjin AI - Cyber Intelligence Engine	en	information-and-network-security	robots llms aihumans	emailphone	none
textguardiansystems.com ↗	69 match 2 shared topics	Text Guardian Systems \| AI SMS Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
globalinfointel.com ↗	69 match 2 shared topics	Global Information Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
3rdpartytech.com ↗	69 match 2 shared topics	Sentinel \| Sovereign AI/OSINT Intelligence Platform	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.