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Gestión y Recuperación de Activos Financieros — 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
predefi.com ↗	70 match 1 shared topics	Predefi - Prevención de Delitos Financieros	es	financial-industry	robotsllmsaihumans	emailphone	none
minra.tech ↗	68 match 1 shared topics	Minra® Digital Assets \| Tokenización De Activos	es	financial-industry	robotsllmsaihumans	emailphone	none
ad-cap.com.ar ↗	66 match 1 shared topics	Adcap Grupo Financiero - Soluciones Integrales de Inversión y Servicios Financieros	Argentina es	financial-industry	robotsllmsaihumans	emailphone	none
bfasa.com.ar ↗	66 match 1 shared topics	BFA NEGOCIOS y FINANZAS – Servicios Financieros	Argentina es	financial-industry WordPress	robotsllmsaihumans	email phone	none
adeba.com.ar ↗	64 match 1 shared topics	ADEBA \| Asociación de Bancos Argentinos	Argentina es	financial-industry WordPress	robotsllmsaihumans	emailphone	none
ibankingacademy.com ↗	64 match 1 shared topics	Investment Banking Academy \| Valoración de Empresas	es	financial-industry Wix	robots llmsaihumans	emailphone	none
traderjdr.com ↗	64 match 1 shared topics	TraderJDR \| Informes de Análisis Técnico Institucional del Mercado Financiero	es	financial-industry	robotsllmsaihumans	emailphone	none
atfconsulting.com.ar ↗	64 match 1 shared topics	ATF Consulting – Asistencia Técnica Financiera	Argentina es	financial-industry WordPress	robotsllmsaihumans	emailphone	none
aba.org.do ↗	63 match 1 shared topics	Asociación de Bancos Múltiples de la República Dominicana - ABA	es	financial-industry WordPress	robotsllmsaihumans	emailphone	none
transitlabscr.com ↗	63 match 1 shared topics	Transit Labs CR — Nueva Arquitectura Financiera para el Transporte Público	es	financial-industry	robotsllmsaihumans	emailphone	none
sigrunpartners.com ↗	63 match 1 shared topics	Renta 4 Corporate Finance	es	financial-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
ccsf-autofinanciamiento.com ↗	63 match 1 shared topics	CAPITAL SF – AUTOFINANCIAMIENTO	es	financial-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deepfinancelab.com ↗	63 match 1 shared topics	Deep Finance Lab \| Raúl Muñoz R.	es	financial-industry Spree Commerce	robotsllmsaihumans	emailphone	none
kaplinski.ca ↗	62 match 1 shared topics	Technology Applied to the Financial Sector - Kaplinski Consulting	Canada es	financial-industry	robotsllmsaihumans	email phone	none
leonardosampayo.com ↗	62 match 1 shared topics	Consultoría Financiera - Leonardo Sampayo Financial Engineering \| Leonardo Sampayo Financial Engineering, LLC	es	financial-industry	robotsllmsaihumans	emailphone	none
ccoobbva.net ↗	62 match 1 shared topics	Sección Sindical CC.OO. Deutsche Bank	es	financial-industry	robotsllmsaihumans	emailphone	none
privatebankingexperience.com ↗	61 match 1 shared topics	Private Banking Experience – Inversiones, experiencias y atención exclusiva para su patrimonio.	es	financial-industry WordPress	robotsllmsaihumans	emailphone	none
abancord.org ↗	61 match 1 shared topics	ABANCORD – Representamos a los Bancos de Ahorro y Crédito y Corporaciones de Crédito	es	financial-industry WordPress WooCommerce	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.