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IFCI | IFCI Factors, Factors India, Factoring Company in India, IFCI Member in India — 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 Financial Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
shvasm.com ↗	63 match 2 shared topics	Shvasm Technologies – Let's embark together on your digital Factoring and SCF journey.	en	financial-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
mdcng.com ↗	62 match 2 shared topics	Microfinance Development Company Limited	en	business-banking-and-finance	robotsllmsaihumans	emailphone	none
hg-funding.com ↗	61 match 2 shared topics	HG FUNDING \| Financial Services in Brooklyn, NY	United States~ en	financial-industry	robotsllmsaihumans	emailphone	none
acds-consultants.co.uk ↗	61 match 2 shared topics	ACDS Consultants – Specialists In Commercial Finance	United Kingdom en	business-banking-and-finance WordPress	robotsllmsaihumans	emailphone	none
4payments.com ↗	61 match 2 shared topics	4payments is a service for financial and e-com companies that helps accept payments and send payments	en	business-banking-and-finance	robotsllmsaihumans	emailphone	none
1-pentagoncorp.com ↗	61 match 2 shared topics	1-Pentagon Credit and Lending Corporation \| 1-Pentagon Credit and Lending Corporation	en	financial-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vocalinkdemo.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocaworld.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocatraining.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocasystems.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocasurvey.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocaseminars.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocasales.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocaresearch.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocapeach.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocapayments.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocapay.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
vocamarketing.com ↗	61 match 2 shared topics	Powering the U.K.'s economy \| Vocalink by Mastercard	en	financial-industry Adobe Experience Manager	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.