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Transfr | Virtual Reality Training & Career Exploration Solutions — 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
transfrinc.com ↗	100 match 1 shared topics	Transfr \| Virtual Reality Training & Career Exploration Solutions	US~ en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
doriszionsolutions.com ↗	73 match 1 shared topics	Doris Zion Solutions \| AWS & DevOps Career Training	en	vocational-training	robotsllmsaihumans	email phone	none
asbsecurityservices.co.uk ↗	71 match 1 shared topics	ASB Academy \| SIA Security Training & Career Supportw	GB en	vocational-training	robotsllmsaihumans	email phone	none
ststrainingsolutions.com ↗	71 match 1 shared topics	Home - STS Training Solutions	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
banational.com ↗	71 match 1 shared topics	Job Placement & Career Training UK \| BA National	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
mindstormtraining.com ↗	71 match 1 shared topics	Mindstorm Global Education — Skill Training & Career Programs	IN~ en	vocational-training	robotsllmsaihumans	email phone	none
kviksolutions.com ↗	70 match 1 shared topics	KVIK Solutions Training Center - Skills Development, Job, Career	en	vocational-training	robotsllmsaihumans	emailphone	none
acclivus.com ↗	70 match 1 shared topics	B2B Sales Training & Coaching - Acclivus R3 Solutions	US~ en	vocational-training WordPress	robotsllmsaihumans	email phone	none
rpaelectronics.com ↗	70 match 1 shared topics	RPA Electronics - Training and Simulation Visual Solutions	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
yunipakistan.com ↗	70 match 1 shared topics	YUNI Pakistan \| Tech Training, Digital Skills & Career Acceleration	PK~ en	vocational-training	robotsllmsaihumans	emailphone	partial · 8
completetrainingsolutions.co.uk ↗	70 match 1 shared topics	Complete Training Solutions \| Health & Safety Training	GB en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
trainingedge.com ↗	69 match 1 shared topics	TrainingEdge \| the best learning and training solutions	en	vocational-training Wix	robots llmsaihumans	emailphone	none
mirandatrainingsolutions.com ↗	69 match 1 shared topics	Miranda Training Solutions - Home	en	vocational-training	robotsllmsaihumans	emailphone	none
trajlongroup.com ↗	69 match 1 shared topics	Trajlon Group \| Supply Chain Management Training & Solutions	en	vocational-training	robotsllmsaihumans	email phone	none
ftdlaunch.com ↗	69 match 1 shared topics	FTD Launch \| Drone Training & Career Development	en	vocational-training	robotsllmsaihumans	emailphone	none
agilebrainsconsulting.net ↗	69 match 1 shared topics	Agile Training & Transformation Philadelphia \| Maturity Assessment	en	vocational-training Wix	robots llmsaihumans	emailphone	none
cismtraining.org ↗	69 match 1 shared topics	Crisis Intervention Training - Calm Response Solutions	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
donaldsipp.com ↗	69 match 1 shared topics	Patient Flow, Transport Training & Certification \| ITC	en	vocational-training	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.