similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to auspexai.network

Auspexai alternatives & similar sites

auspex[ai] — Volunteer compute for AI safety research — 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
cyberlab.biz ↗	70 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
medullainstitute.org ↗	67 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
m1st.tech ↗	67 match 2 shared topics	m1st \| Security Researcher & AI Craftsman	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vmsecops.com ↗	66 match 2 shared topics	VM SecOps — Vasu Melipaka \| Senior Pentester & AI Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpverify.net ↗	66 match 2 shared topics	MCPVerify — Trust Infrastructure for AI Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spicyprivacy.com ↗	66 match 2 shared topics	SpicyPrivacy — Privacy Research & AI Governance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0ximu.dev ↗	66 match 2 shared topics	0ximu \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdkay.me ↗	66 match 2 shared topics	Dongkwan Kim \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
azimuth.foundation ↗	66 match 2 shared topics	αzimuth Labs \| AI Biosecurity Research	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0byte.tech ↗	66 match 2 shared topics	0byte - The Origin Protocol for AI Content	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ekagrazi.com ↗	66 match 2 shared topics	Ekagra Gupta — Developer \| AI Engineer \| Security Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
egida.ai ↗	66 match 2 shared topics	Egida — AI Security for AI-Built Apps	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
myfortunecookie.co.uk ↗	66 match 2 shared topics	ai.wot — Web of Trust for AI Agents	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vorim.ai ↗	66 match 2 shared topics	Vorim AI — Agent Identity and Trust Layer for AI Systems	en	information-and-network-security	robots llmsaihumans	emailphone	none
aam.wtf ↗	65 match 2 shared topics	AAM - Safe AI Agents You Can Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	65 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
abai.wtf ↗	65 match 2 shared topics	Tom Abai \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alimuratgultekin.com ↗	65 match 2 shared topics	Ali Murat Gültekin \| Cybersecurity Researcher & ML Engineer	en	information-and-network-security	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.