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NexDil Global Limited - Project Management Training Experts | Nexdil Global Limited — 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
thekamcoach.com ↗	69 match 2 shared topics	Key Account Management Training, Coaching & Consulting - The KAM Coach	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
nobleprog-kz.com ↗	67 match 2 shared topics	NobleProg Kazakhstan \| The World's Local Training Provider	en	vocational-training	robotsllmsaihumans	emailphone	partial · 2
dorissuresh.com ↗	66 match 2 shared topics	Corporate Soft Skills Training in Brunei \| Doris Suresh Consulting	en	vocational-training Wix	robots llmsaihumans	emailphone	none
nizarmelhem.com ↗	65 match 2 shared topics	Sales Training in Dubai \| Nizar Melhem \| Sales Trainer and Consultant	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
rokofsky.com ↗	65 match 2 shared topics	Rokofsky communication & training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
mbtek.my ↗	65 match 2 shared topics	Minda Bagus Enterprise \| IT Consultant & Training	en	vocational-training	robotsllmsaihumans	emailphone	none
bytesizetrainings.com ↗	65 match 2 shared topics	Professional Training and Upskilling \| ByteSize Training & Consulting LLC	en	vocational-training	robotsllmsaihumans	emailphone	none
kwasafety.com ↗	65 match 2 shared topics	KWA Safety & HazMat Consultants \| Pam Murcell \| Health Safety Hazardous Materials Training	United States~ en	vocational-training	robotsllmsaihumans	emailphone	none
brazosafety.com ↗	65 match 2 shared topics	Brazos Safety Consulting \| Best Safety Manuals Training \| Brazos Safety Consulting	en	vocational-training	robotsllmsaihumans	emailphone	none
nlpmanila.com ↗	64 match 2 shared topics	NLP Manila	en	vocational-training	robotsllmsaihumans	emailphone	none
firerisk.mobi ↗	64 match 2 shared topics	fire, protection, training, hot work, fire investigation, consulting,	en	vocational-training	robotsllmsaihumans	email phone	none
me-globalhealth.org ↗	64 match 2 shared topics	Global Health For Rehabilitation	United States~ en	vocational-training	robots llmsaihumans	emailphone	none
123consultingsolutions.com ↗	64 match 2 shared topics	Home Care Consultant in Texas \| HHS Administrator Training	United States~ en	vocational-training	robots llmsaihumans	emailphone	none
tungstentech.io ↗	63 match 2 shared topics	Corporate IT Training & Consulting Services \| Tungsten Technology Corporation	United States~ en	vocational-training	robotsllmsaihumans	emailphone	none
firstforward.biz ↗	63 match 2 shared topics	First Forward Consulting – Training, Program Development, and Consulting Services	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
academatc.com ↗	63 match 2 shared topics	ACADEMA Contact \| Business Consulting Training	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
dovetraininginnovations.com ↗	63 match 2 shared topics	Dove Training and Innovations – Re-Imagine Learning	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
l30relationalsystems.com ↗	63 match 2 shared topics	Restorative and Relational Practice \| L30 Relational Systems	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.