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Alignment alternatives & similar sites

Alignment Ecosystem Development — 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
bahagharilabs.com ↗	67 match 2 shared topics	Bahaghari Labs - AI Security & Development Services	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lupid.ai ↗	66 match 2 shared topics	Lupid — The open-source ecosystem for securing AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
squrall.io ↗	66 match 2 shared topics	squrall \| Custom Application Development, Security & AI Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
splyce.ai ↗	65 match 2 shared topics	Splyce.ai \| Integrated Security Consulting for Modern Development	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0xscam.com ↗	65 match 2 shared topics	0xScam Labs: AI-AntiScam Ecosystem in a World of Digital Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ferrixsystems.com ↗	64 match 2 shared topics	Ferrix Systems - Web3 Trust Infrastructure for AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctrltower.org ↗	63 match 2 shared topics	Ctrl Tower \| The operating system for AI-era risk management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneworxs.com ↗	62 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
splx.ai ↗	62 match 2 shared topics	SPLX \| End-to-End Security for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
coreenaiblement.com ↗	62 match 2 shared topics	Core ENAIBLEment Partners — Defensible AI for Regulated Industries	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlineenforceauth.com ↗	62 match 2 shared topics	EnforceAuth — Authorization for the AI agent era	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
0run.net ↗	62 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	62 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coreholdingcorp.com ↗	62 match 2 shared topics	CoreIdentity \| Institutional Trust Infrastructure for Autonomous Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
coreidentitygroup.com ↗	62 match 2 shared topics	CoreIdentity \| Institutional Trust Infrastructure for Autonomous Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
blackkitehq.com ↗	62 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkitesec.com ↗	62 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkiteinc.com ↗	62 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	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.