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Real-time Facial Recognition Technology | Oosto — 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
cryptovoips.com ↗	67 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptovoip.tech ↗	67 match 2 shared topics	CryptoVoip Technologies \| AI, Security & Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackswantechnologies.com ↗	66 match 2 shared topics	AI, Cybersecurity & Risk Management Consulting \| Black Swan Technologies%	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
oneworxs.com ↗	65 match 2 shared topics	AI-Powered Security Systems for Modern Businesses \| OneWorxs	United States~ en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
spotem.ai ↗	64 match 2 shared topics	AI Security Cameras & Surveillance \| AI CCTV Monitoring Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ambient.ai ↗	64 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
incognia.com ↗	64 match 2 shared topics	Incognia \| Identify Users vs. Fraudsters. Across devices.	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
incognia.ai ↗	64 match 2 shared topics	Incognia \| Identify Users vs. Fraudsters. Across devices.	United States~ en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
landmarksignal.com ↗	63 match 2 shared topics	LandmarkSignal \| Intelligence you can trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aapt.online ↗	63 match 2 shared topics	AAPT — AI Agent Penetration Testing \| LLM, MCP & GraphQL Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
lasso.security ↗	63 match 2 shared topics	Secure AI Adoption at Enterprise Scale \| Lasso	en	information-and-network-security Webflow	robots llmsaihumans	emailphone	none
1pw.ai ↗	63 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ferralon.com ↗	63 match 2 shared topics	Ferralon — Autonomous Cyber Remediation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spirko.net ↗	63 match 2 shared topics	Spirko Enterprises, LLC \| Digital Products, Automation & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fenneclabs.ai ↗	63 match 2 shared topics	Fennec Labs \| Autonomous AI Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sanctumruntime.com ↗	63 match 2 shared topics	Sanctum Runtime — AI Agent Security & Runtime Authorization	en	artificial-intelligence	robots llmsaihumans	emailphone	none
abstract.engineering ↗	63 match 2 shared topics	Seif.ai - Continuous cybersecurity across all assets	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aksites.com.br ↗	63 match 2 shared topics	Anthony Kamers - Personal Portfolio	Brazil 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.