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Spheriusform alternatives & similar sites

Spheriusform - Un organisme de formation pour maîtriser les technologies Unix, Linux, Virtualisation et DevOps — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
axislearning.site ↗	69 match 1 shared topics	Axis Learning — Courtier en formation pour entreprises	en	vocational-training	robotsllmsaihumans	emailphone	none
gsymuco-formation.com ↗	68 match 1 shared topics	GSYMUCO FORMATION - Formation Professionnelle pour Entreprises	en	vocational-training	robotsllmsaihumans	emailphone	none
neova-learning.com ↗	67 match 1 shared topics	NEOVA - Plateforme de Formation Professionnelle	en	vocational-training	robotsllmsaihumans	emailphone	none
dots-cool.com ↗	67 match 1 shared topics	Dotscool - Formations IT	en	vocational-training	robotsllmsaihumans	emailphone	none
dotscool.com ↗	67 match 1 shared topics	Dotscool - Formations IT	en	vocational-training	robotsllmsaihumans	emailphone	none
metiers-de-bouche.ch ↗	66 match 1 shared topics	Fondation vaudoise pour la formation des métiers de bouche	Switzerland en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
metiersdebouche.ch ↗	66 match 1 shared topics	Fondation vaudoise pour la formation des métiers de bouche	Switzerland en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
vbru.net ↗	66 match 1 shared topics	Cabinet de conseil & formations IT corporate \| VBRU	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
activeformation.com ↗	66 match 1 shared topics	Formation Active - Excellence en formation pour professionnels \| FORMATION ACTIVE	en	vocational-training	robotsllmsaihumans	emailphone	none
truesailor.com ↗	66 match 1 shared topics	TRUE SAILOR - formations inspirées par la voile et pensés pour les équipes	en	vocational-training	robotsllmsaihumans	emailphone	none
ksofteducation.com ↗	65 match 1 shared topics	KSoft Education & Technologies	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
abri-des-savoirs.com ↗	65 match 1 shared topics	L'abri des SAVOIRSL'abri des SAVOIRS \| Formation performance cognitive entreprises Lyon	en	vocational-training WordPress	robotsllmsaihumans	email phone	none
memorif.ch ↗	65 match 1 shared topics	Orif - Intégration et formation professionnelle	Switzerland en	vocational-training	robotsllmsaihumans	emailphone	none
acconage.com ↗	65 match 1 shared topics	ACCONAGE - Acconage Academy – Formation Portuaire & Logistique	en	vocational-training WordPress	robotsllmsaihumans	email phone	none
businessmarine.store ↗	65 match 1 shared topics	@business.marine \| Formation Code Liberté + Accompagnement	en	vocational-training	robots llmsaihumans	emailphone	none
bilcom.site ↗	65 match 1 shared topics	BILCOM — Plateforme IA d'Appariement Emploi-Formation pour l'Afrique	en	vocational-training	robotsllmsaihumans	emailphone	none
boostprod.academy ↗	64 match 1 shared topics	Formations Pro Tunis \| Podcasting, Vidéo, VR & Prise de Parole	en	vocational-training	robotsllmsaihumans	emailphone	none
laasyatechsolutions.com ↗	64 match 1 shared topics	Online training Institute for all software technologies in India	en	vocational-training WordPress	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.