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Nis iOS Development PRIVAL DOO NIS - VPN & Cleaner Apps — 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
poljanadoo.com ↗	85 match 2 shared topics	Poljana d. o. o. \| iOS Development \| VPN & Cleaner Apps	en	software-and-applications	robotsllmsaihumans	emailphone	none
moogsarl.com ↗	83 match 2 shared topics	MOOG SARL - Expert iOS App Development \| VPN & Cleaner Apps	en	software-and-applications	robotsllmsaihumans	emailphone	none
alfadoo.net ↗	79 match 2 shared topics	ALFA DOO – iOS App Development \| VPN & Cleaner for iPhone	en	software-and-applications	robotsllmsaihumans	emailphone	none
polydoosid.com ↗	79 match 2 shared topics	POLY DOO SID \| iOS VPN & Cleaner App Development — Sid, Serbia	Serbia~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
montanaood.com ↗	79 match 2 shared topics	MONTANA OOD – iOS App Development \| VPN & Cleaner Apps	en	software-and-applications	robotsllmsaihumans	emailphone	none
vitekdoo.com ↗	79 match 2 shared topics	VITEK D.O.O. — Premium iOS App Development \| VPN & Cleaner Apps	en	software-and-applications	robotsllmsaihumans	emailphone	none
morerdoo.com ↗	78 match 2 shared topics	MORER d.o.o. \| iOS VPN & Cleaner Apps \| Izola Slovenia	en	software-and-applications	robotsllmsaihumans	emailphone	none
vivetaood.com ↗	77 match 2 shared topics	VIVETA OOD \| iOS App Development — VPN & Cleaner for iPhone	Bulgaria~ en	software-and-applications	robotsllmsaihumans	emailphone	none
kraljdoo.com ↗	77 match 2 shared topics	KRALJ d.o.o. — iOS App Development \| VPN & Cleaner for Mobile Security	en	software-and-applications	robotsllmsaihumans	emailphone	none
mekapc.net ↗	77 match 2 shared topics	MEKA P.C. — iOS App Development \| VPN & Cleaner Apps \| Volos, Greece	en	software-and-applications	robotsllmsaihumans	emailphone	none
korendoo.com ↗	70 match 2 shared topics	KOREN d.o.o. — Modern iOS Applications for Security & Performance	en	software-and-applications	robotsllmsaihumans	emailphone	none
alboum.net ↗	68 match 2 shared topics	Alboum \| Software Development & Cybersecurity Services	KW~ en	information-and-network-security	robots llmsaihumans	email phone	none
vladtulitu.com ↗	68 match 2 shared topics	Vlad Tulitu \| Mobile App Developer	Romania~ en	software-and-applications Spree Commerce	robotsllmsaihumans	emailphone	none
shsoftwarelabs.com ↗	68 match 2 shared topics	Saint-Hilaire Software Labs \| software development	en	software-and-applications Wix	robots llmsaihumans	emailphone	none
bcs-development.com ↗	66 match 2 shared topics	Tests de Montée en charge - Tests Offshore - Audit Active Directory - BCS Development	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
koteguard.com ↗	65 match 2 shared topics	KoteGuard \| Safe GitHub Copilot agent sandboxing for Android and iOS developers.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ourcaptaincompliancehq.info ↗	65 match 2 shared topics	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	none
pagecaptaincompliancehq.info ↗	65 match 2 shared topics	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	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.