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MOSS | AI Governance Infrastructure | MGI Score — 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
mcpverify.net ↗	71 match 2 shared topics	MCPVerify — Trust Infrastructure for AI Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentidapp.com ↗	71 match 2 shared topics	Countersig — Trust Infrastructure for the Agent Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thisclara.com ↗	70 match 2 shared topics	C.L.A.R.A. \| Privacy-first AI governance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
theunimind.com ↗	69 match 2 shared topics	Unimind — Intelligence Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	69 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
thevelocityroom.com ↗	69 match 2 shared topics	The Velocity Room \| AI Infrastructure & Security Community	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
dreadnode.biz ↗	69 match 2 shared topics	Dreadnode — AI Infrastructure for Security Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
deployeverywhere.com ↗	69 match 2 shared topics	Deploy Everywhere — AI Infrastructure	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
csspki.com ↗	69 match 2 shared topics	Trust Infrastructure for AI & Machines - Keyfactor	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
agenticaisecureciso.com ↗	69 match 2 shared topics	Bedrock Data & CISOMeet Dinner \| AI governance for CISOs	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
savitrlabs.com ↗	69 match 2 shared topics	Savitr — Security infrastructure for autonomous AI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agentrapay.ai ↗	68 match 2 shared topics	Agentra™ — Trust Infrastructure for the Agent Economy	en	artificial-intelligence	robots llmsaihumans	emailphone	full · 14
adamdistefano.ai ↗	68 match 2 shared topics	Adam DiStefano — AI Governance Executive \| Runtime AI Control & Enterprise Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sayhitoonetrust.com ↗	68 match 2 shared topics	Responsible AI Governance & Compliance Solutions \| OneTrust	United States~ en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
avepoint.com ↗	67 match 2 shared topics	AI-Ready Data Security & Governance for Enterprise \| AvePoint	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trooth.co ↗	67 match 2 shared topics	Trooth - Security, Governance, and AI Compliance in One Platform	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	full · 16
skans.cloud ↗	67 match 2 shared topics	Skans — AI Agent Runtime Governance \| EU AI Act & NIST AI RMF Compliance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skans.ai ↗	67 match 2 shared topics	Skans — AI Agent Runtime Governance \| EU AI Act & NIST AI RMF Compliance	en	artificial-intelligence	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.