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Ozo Development – Creating a Safer World with 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
alignment.dev ↗	67 match 2 shared topics	Alignment Ecosystem Development	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
korpalis.com ↗	64 match 2 shared topics	Korpalis Build with AI. Ship with confidence.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
alanwsilberberg.com ↗	62 match 2 shared topics	Alan W Silberberg – Dad, Author, CEO and Host of Cyber AI with Alan W Silberberg	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
mcbse.org ↗	62 match 2 shared topics	MCBSE \| Smarter AI Memory. Safer AI Output.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0xscam.com ↗	62 match 2 shared topics	0xScam Labs: AI-AntiScam Ecosystem in a World of Digital Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
herdsecurityio.com ↗	62 match 2 shared topics	Herd Security — The AI Creative Platform for Security Training	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	partial · 8
herdsecurity.io ↗	62 match 2 shared topics	Herd Security — The AI Creative Platform for Security Training	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
ambient.ai ↗	62 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aletheialabs.org ↗	62 match 2 shared topics	Aletheia — An applied research lab working on the epistemic safety of frontier AI systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deystevenson.com ↗	62 match 2 shared topics	My Open Journal – I write about utilizing AI/ML for cybersecurity and other cool things.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	62 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
eternaedge.com ↗	62 match 2 shared topics	EternaEdge \| Autonomous Intelligence Operating System	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
polyredact.com ↗	62 match 2 shared topics	PolyRedact – Multimodal PII Redaction API for AI Traffic	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bayronix.com ↗	61 match 2 shared topics	Bayronix – Smart Automation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
confyned.com ↗	61 match 2 shared topics	CONFYNED — Safe. Secure. Private.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hacker101.co ↗	61 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	Colombia en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	61 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
1hackerone.com ↗	61 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	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.