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GAMI — Cryptographic Provenance Infrastructure for Historical Archives — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
provenancelayer.io ↗	74 match 1 shared topics	Provenance Layer — Cryptographic Authenticity for Digital Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
neocorte.com ↗	70 match 1 shared topics	NeoCorte — Secure Infrastructure for High-Trust Organizations	en	information-and-network-security	robotsllmsaihumans	email phone	none
proven.dev ↗	70 match 1 shared topics	Proven.dev — Cryptographic Compute Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attestto.org ↗	69 match 1 shared topics	Attestto — Sovereign Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
1armada.com ↗	69 match 1 shared topics	1Armada - Digital Identity Platform for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cbomcompliance.com ↗	69 match 1 shared topics	NextGenRails™ \| CBOM Compliance — Cryptographic Software Integrity Receipts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
doseofgose.com ↗	69 match 1 shared topics	DomainKYC.in — .IN eKYC Infrastructure for Registrars	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astis.io ↗	69 match 1 shared topics	ASTIS — Cryptographic trust layer for business data	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 3
doraduslabs.com ↗	69 match 1 shared topics	Doradus Labs — Intelligent Infrastructure for Critical Environments	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intentsecurity.ai ↗	69 match 1 shared topics	Intent Is Infrastructure — intentsecurity.ai	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provable.dev ↗	68 match 1 shared topics	Provable: high-throughput cryptographic integrity for time-ordered data	en	information-and-network-security	robots llmsaihumans	emailphone	none
gator-bytes.com ↗	68 match 1 shared topics	cydex - Cyber Defense Exchange \| Critical Infrastructure Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
needera.io ↗	68 match 1 shared topics	needera — Portable Trust Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
proxylab.io ↗	68 match 1 shared topics	ProxyLab - Residential Proxy Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1alerted.com ↗	68 match 1 shared topics	1Alerted \| AI-Powered Infrastructure Monitoring	en	information-and-network-security	robots llmsaihumans	emailphone	none
netroach.com ↗	68 match 1 shared topics	NetRoach — Secure Business Communication Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attestedcall.com ↗	68 match 1 shared topics	AttestedCall - Cryptographic Identity for Voice Calls	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
archersecuritygroup.ca ↗	68 match 1 shared topics	Archer – Critical Infrastructure Protection	Canada en	information-and-network-security WordPress WooCommerce	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.