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DCL Evaluator — Make AI decisions cryptographically auditable · Fronesis Labs — 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
yseeku.com ↗	70 match 2 shared topics	SONATE \| Cryptographic Audit Layer for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentreceipts.ai ↗	70 match 2 shared topics	Agent Receipts — cryptographic audit trails for AI agents \| Agent Receipts	en	information-and-network-security	robots llmsaihumans	emailphone	none
rizelabs.io ↗	68 match 2 shared topics	Rize Labs — AI & Cryptography Engineering Studio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentpin.org ↗	67 match 2 shared topics	AgentPin — Domain-anchored cryptographic identity for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentpin.net ↗	67 match 2 shared topics	AgentPin — Domain-anchored cryptographic identity for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentmark.dev ↗	66 match 2 shared topics	agentmark — cryptographic provenance for AI-generated code	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
aiagentaudit.dev ↗	66 match 2 shared topics	AI Agent Audit Logs — Compliance Infrastructure \| AgentAudit	en	information-and-network-security	robots llmsaihumans	emailphone	none
advanced-consulting.london ↗	66 match 2 shared topics	ZKAP \| Cryptographic Verification of Formalized Rules for AI Systems	en	information-and-network-security	robots llmsaihumans	email phone	none
agentcert.net ↗	66 match 2 shared topics	Agent Cert — Decision Receipt Network	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-gn.io ↗	66 match 2 shared topics	D-GN — Collective intelligence infrastructure for AI development	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kyde.com ↗	66 match 2 shared topics	KYDE — The AI Control Plane.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentmarshal.dev ↗	65 match 2 shared topics	AgentMarshal — governance and audit-evidence for AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
4tress.org ↗	65 match 2 shared topics	4tress.org — Decentralized Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
l6verify.com ↗	65 match 2 shared topics	Bits & Blocks — Privacy Infrastructure for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
laitelier.com ↗	65 match 2 shared topics	L'AItelier DNA — Certify AI & Human-Made Media	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
traverselabs.ai ↗	65 match 2 shared topics	Traverse Labs - Verifiable Context Transfer for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icebergmesh.com ↗	65 match 2 shared topics	IcebergMesh - Building trust infrastructure for autonomous systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agenticwaysolutions.tech ↗	65 match 2 shared topics	AgenticWay Solutions LLC — Sovereign AI Infrastructure	United States~ 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.