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Lucidcomputing alternatives & similar sites

Lucid Computing - Provable trust infrastructure for frontier AI — 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
cryptonqr.com ↗	73 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
mcpverify.net ↗	72 match 2 shared topics	MCPVerify — Trust Infrastructure for AI Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
m8ven.ai ↗	72 match 2 shared topics	M8ven - Trust Infrastructure for the Agent Economy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csspki.com ↗	72 match 2 shared topics	Trust Infrastructure for AI & Machines - Keyfactor	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
rotavision.com ↗	71 match 2 shared topics	AI Trust Infrastructure for India \| Rotavision	en	artificial-intelligence	robots llmsaihumans	emailphone	none
vmeni.com ↗	68 match 2 shared topics	Vmeni \| Secure AI Infrastructure for Regulated Industries	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
noctura.ai ↗	68 match 2 shared topics	Noctura - Secure AI Infrastructure	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
vitational.com ↗	67 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
lechauve.com ↗	66 match 2 shared topics	Hugo Angulo — Secure AI & Infrastructure Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
efficientfrontierlabs.com ↗	65 match 2 shared topics	Efficient Frontier Labs \| Identity, Settlement, Accountability for AI Agents	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
voicesbylisa.com ↗	65 match 2 shared topics	Red Team Operations & Offensive Security Testing \| AI Red Teaming Australia \| Frontier Cyber	Australia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
apexaudit.sbs ↗	65 match 2 shared topics	APEX AUDIT \| The Gold Standard for AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
carbene.ai ↗	64 match 2 shared topics	Carbene.AI - Operating Partners for Technology, Security, and Compliance	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	partial · 8
myfortunecookie.co.uk ↗	64 match 2 shared topics	ai.wot — Web of Trust for AI Agents	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aclasa.pro ↗	64 match 2 shared topics	ACLASA \| Data processing and analytical services for high-trust work	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hackerone.com ↗	64 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
ehackerone.com ↗	64 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
thehypenx.com ↗	64 match 2 shared topics	Secure Product Engineering & AI Automation Company \| TheHypeNX	en	artificial-intelligence Spree Commerce	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.