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Sibhi S | Machine Learning & Quantum Systems | VIT Chennai — 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
morebooks.com ↗	69 match 2 shared topics	QUE.com - Artificial Intelligence Machine Learning CyberSecurity Robotics Blockchain	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
buzzery.ch ↗	68 match 2 shared topics	DQ0 - Privacy-Preserving Machine Learning	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
clone-systems.eu ↗	67 match 2 shared topics	Home - Clone Systems CY	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
vitruviuscyber.com ↗	67 match 2 shared topics	Vitruvius Cyber Systems \| AI Security and Zero Trust Advisory	en	information-and-network-security	robots llmsaihumans	emailphone	none
jamescalhoun.co ↗	66 match 2 shared topics	James Calhoun - CyberSec, AI Systems & Compliance \| Mojave Corp	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
montagu.io ↗	65 match 2 shared topics	Henry Montagu — Quantum Physicist & Principal Security Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
montagu.dev ↗	65 match 2 shared topics	Henry Montagu — Quantum Physicist & Principal Security Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alejandroalmeida.org ↗	64 match 2 shared topics	Alejandro Almeida \| Computer Engineer & AI Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
eternaedge.com ↗	64 match 2 shared topics	EternaEdge \| Autonomous Intelligence Operating System	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
lancer-project.org ↗	64 match 2 shared topics	LANCER - Learning network cyber agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aletheialabs.org ↗	64 match 2 shared topics	Aletheia — An applied research lab working on the epistemic safety of frontier AI systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
3sixtyai.com ↗	64 match 2 shared topics	3SixtyAI \| Intelligent Mobile Security Systems	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
kpmoran.com ↗	64 match 2 shared topics	Kevin Moran Ph.D.	United States~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	email phone	none
morningmistai.com ↗	64 match 2 shared topics	Morning Mist Technologies \| AI Security & Screening Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vizazigroup.com ↗	63 match 2 shared topics	Vizazi Group Cybersecurity and AI Solutions \| Vizazi Group	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voicevista.ai ↗	63 match 2 shared topics	CentreCoreAI \| Autonomous AI Attack Mitigation & Post-Quantum Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexaeight.com ↗	63 match 2 shared topics	HexaEight - Cryptographic Identity for AI Agents, Humans, and Machines	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
deystevenson.com ↗	63 match 2 shared topics	My Open Journal – I write about utilizing AI/ML for cybersecurity and other cool things.	en	information-and-network-security WordPress	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.