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IF ELSE AI — Makers of ShieldBox AI | Innovating Tomorrow, Today — 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
rlogicssolutions.com ↗	66 match 2 shared topics	RLogics Solutions - Innovating Future Tech Solutions	en	information-and-network-security	robots llmsaihumans	email phone	none
robustengineai.com ↗	66 match 2 shared topics	RobustEngine.ai — Production-Grade AI Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
actaclad.com ↗	66 match 2 shared topics	ActaClad — Engineering Production-Grade AI \| The Craft of Intelligence	IN~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ente.net ↗	66 match 2 shared topics	Ente.net - Unusual Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-shield.io ↗	65 match 2 shared topics	D-Shield	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rodrigoloureiro.com ↗	65 match 2 shared topics	Rodrigo S Loureiro - AI-Driven Tech CEO & AI Cybersecurity Innovator	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cyphic.cloud ↗	65 match 2 shared topics	Cyphic AI — Unified API for fraud, hosting & trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1-pro.net ↗	65 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
4hydra.com ↗	65 match 2 shared topics	Hydra Cyber AI — AI Gateway, Manage Service & Secure Digital Transformation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
360sec.com ↗	65 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
accugen.ai ↗	65 match 2 shared topics	AccuGen — Where AI Meets Reality	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pamuiafrika.com ↗	65 match 2 shared topics	Pamui Afrika — Cybersecurity, AI & Software Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ablaton.io ↗	65 match 2 shared topics	Ablaton — Cyber Risk Operating System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
superaiguard.com ↗	65 match 2 shared topics	SuperAI Guard - Protecting the Future of Super AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
afrsec.dev ↗	65 match 2 shared topics	Afrosecure \| Secure. Innovate. Transform.	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
agentshield.cloud ↗	65 match 2 shared topics	AgentShield — Open-Source Prompt Injection Detection for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
styxion.com ↗	65 match 2 shared topics	Styxion — Cybersecurity Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trendmicroservices.com ↗	64 match 2 shared topics	Trend Micro (US) \| Global Enterprise AI Cybersecurity Platform	en	information-and-network-security Adobe Experience Manager	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.