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Mifos Initiative – Open Source Community in Support of the Mifos Platform for Financial Inclusion — 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
wealthmagic.in ↗	65 match shared topic	Fintso - Integrated Digital Wealth Platform for Modern Financial Advisors	India en	financial-industry	robotsllmsaihumans	email phone	none
unepfi.org ↗	65 match shared topic	United Nations Environment – Finance Initiative – Partnership between United Nations Environment and the global financial sector to promote sustainable finance	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
dashfinancial.com ↗	65 match shared topic	Industry-Leading Electronic Trading Platform \| DASH Financial Technologies	en	financial-industry WordPress Lightspeed	robotsllmsaihumans	emailphone	none
marex.com ↗	65 match shared topic	Marex - A diversified global financial services platform	en	financial-industry	robotsllmsaihumans	emailphone	none
iaac.com ↗	65 match shared topic	International Assets Advisory, LLC- world-class financial services platform	United States~ en	financial-industry WordPress	robotsllmsaihumans	email phone	none
rmahq.org ↗	65 match shared topic	ProSight Financial Association\| Education, Products & Community	en	financial-industry Umbraco	robotsllmsaihumans	email phone	none
sardine.ai ↗	65 match shared topic	Agentic Financial Crime Platform for Fraud Prevention & AML	en	financial-industry Sanity	robots llmsaihumans	emailphone	none
fca.org.uk ↗	60 match shared topic	Financial Conduct Authority \| FCA	United Kingdom en	financial-industry Drupal	robotsllmsaihumans	emailphone	none
financial-ombudsman.org.uk ↗	60 match shared topic	Financial Ombudsman Service: Our homepage – Financial Ombudsman service	United Kingdom en	financial-industry	robotsllmsaihumans	emailphone	none
kroll.com ↗	60 match shared topic	Kroll \| Financial and Risk Advisory Solutions	en	financial-industry WordPress	robotsllmsaihumans	email phone	none
quotemedia.com ↗	60 match shared topic	QuoteMedia \| Real-Time Market Data & Financial Solutions	en	financial-industry	robotsllmsaihumans	emailphone	none
loffs.com ↗	60 match shared topic	Leap of Faith Financial Services Inc.	en	financial-industry	robotsllmsaihumans	emailphone	none
leap.com ↗	60 match shared topic	Leap of Faith Financial Services Inc.	en	financial-industry	robotsllmsaihumans	emailphone	none
risk.net ↗	60 match shared topic	Risk.net - Financial Risk Management News Analysis	en	financial-industry Drupal	robotsllmsaihumans	email phone	none
fsb.org ↗	60 match shared topic	Financial Stability Board - Promoting global financial stability through strong financial sector policies	en	financial-industry WordPress	robotsllmsaihumans	emailphone	none
refinitiv.com ↗	60 match shared topic	LSEG Data & Analytics \| Financial Technology & Data \| Data Analytics	en	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
broadridge.com ↗	60 match shared topic	Broadridge - Broadridge \| Global Leader - Financial Technology Solutions	en	financial-industry	robotsllmsaihumans	emailphone	none
financialcommission.org ↗	60 match shared topic	Financial Commission	en	financial-industry 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.