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Diligent
Cumplimiento · 9.3K visitas mensuales

Diligent es una plataforma impulsada por IA para fintechs y bancos, diseñada para automatizar y mejorar la debida diligencia en clientes empresariales. Utiliza IA Generativa para investigar la presencia en línea, descubrir conexiones de red con entidades de alto riesgo y monitorear riesgos emergentes, fortaleciendo el cumplimiento contra el fraude y AML.

VS
Sphinx
Cumplimiento · 3.4K visitas mensuales

Sphinx es una plataforma de cumplimiento normativo impulsada por IA, diseñada para instituciones financieras y fintechs. Automatiza y agiliza los procesos de KYC, AML y detección de fraudes mediante la provisión de análisis de medios adversos en tiempo real, verificaciones de PEP y sanciones, y verificación del beneficiario final (UBO). La plataforma utiliza agentes de IA para eliminar cuellos de botella, reducir riesgos y garantizar el cumplimiento normativo con información profunda y explicable.

Diligent vs Sphinx: precios, funciones y tráfico

Compara Diligent y Sphinx por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

Diligent Resumen del producto

Diligent es una plataforma impulsada por IA para fintechs y bancos, diseñada para automatizar y mejorar la debida diligencia en clientes empresariales. Utiliza IA Generativa para investigar la presencia en línea, descubrir conexiones de red con entidades de alto riesgo y monitorear riesgos emergentes, fortaleciendo el cumplimiento contra el fraude y AML.

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Sphinx Resumen del producto

Sphinx es una plataforma de cumplimiento normativo impulsada por IA, diseñada para instituciones financieras y fintechs. Automatiza y agiliza los procesos de KYC, AML y detección de fraudes mediante la provisión de análisis de medios adversos en tiempo real, verificaciones de PEP y sanciones, y verificación del beneficiario final (UBO). La plataforma utiliza agentes de IA para eliminar cuellos de botella, reducir riesgos y garantizar el cumplimiento normativo con información profunda y explicable.

Preview

Detailed feature comparison

FeatureDiligentSphinx
Categoría principalCumplimientoCumplimiento
Añadido2025-08-142025-08-03
PrecioDe pagoDe pago
Sitio oficialwww.godiligent.aisphinxlabs.ai
Tipo de productoSitio webSitio web
Performance data
ValoraciónSin verificarSin verificar
Comentarios00
Visitas mensuales9.3K3.4K
Crecimiento mensual17.5%Sin verificar
Favoritos104138
DetailsVer detallesVer detalles

Diligent vs Sphinx monthly traffic

Compare Diligent and Sphinx by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Diligent vs Sphinx monthly traffic comparison, Diligent currently shows 9.3K visits and Sphinx shows 3.4K; Diligent has about 2.7 times the visible traffic of Sphinx, an absolute difference of about 5.8K visits. This reflects visible reach, not feature quality or paid users.

Only Diligent has complete third-party traffic details; Sphinx uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

Diligent monthly traffic:

Latest traffic

Visitas mensuales
9.3K
Duración media
0:05
Páginas por visita
1.59
Tasa de rebote
40.82%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 3.5K Visitas mensuales
  • 2026/1: 6.3K Visitas mensuales
  • 2026/2: 5.9K Visitas mensuales
  • 2026/3: 8.3K Visitas mensuales
  • 2026/4: 7.9K Visitas mensuales
  • 2026/5: 9.3K Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇬🇧United Kingdom30.42%2.8K
🇺🇸United States25%2.3K
🇮🇳India20.28%1.9K
🇳🇱Netherlands15.46%1.4K
🇪🇸Spain8.84%819

Palabras clave

diligentdiligent aidiligent complyadvantagediligent kycgo diligence kyb

Sphinx monthly traffic:

Latest traffic

Visitas mensuales
3.4K
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Diligent and Sphinx

Diligent Core features

Cumplimiento
Automatización
Detección de Fraude

Sphinx Core features

Cumplimiento
Automatización
Detección de Fraude

Use cases

Diligent Use cases

AML
Fintech
Detección de fraude
KYC
Regtech
gestión de riesgos
Verificación de Negocios
Automatización de cumplimiento
diligencia debida
Modelo de Lenguaje de Gran Escala
tecnología regulatoria

Sphinx Use cases

AML
Fintech
Detección de fraude
KYC
Regtech
gestión de riesgos
Cumplimiento
delito financiero
Detección de PEP
Detección de sanciones
Verificación de UBO

Diligent vs Sphinx:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Diligent vs Sphinx comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Diligent is primarily listed under “Cumplimiento”, while Sphinx is primarily listed under “Cumplimiento”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Monthly visits (Diligent: 9.3K; Sphinx: 3.4K); Favorites (Diligent: 104; Sphinx: 138); Website (Diligent: www.godiligent.ai; Sphinx: sphinxlabs.ai); Added (Diligent: 2025-08-14; Sphinx: 2025-08-03). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Diligent vs Sphinx monthly traffic comparison, Diligent currently shows 9.3K visits and Sphinx shows 3.4K; Diligent has about 2.7 times the visible traffic of Sphinx, an absolute difference of about 5.8K visits. This reflects visible reach, not feature quality or paid users.

Only Diligent has complete third-party traffic details; Sphinx uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Diligent and Sphinx currently overlap in shared categories: Cumplimiento, Automatización y Detección de Fraude; shared tags: AML, Fintech, Detección de fraude, KYC, Regtech y gestión de riesgos. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Diligent's unique categories/tags are Verificación de Negocios, Automatización de cumplimiento, diligencia debida, Modelo de Lenguaje de Gran Escala y tecnología regulatoria; Sphinx's are Cumplimiento, delito financiero, Detección de PEP, Detección de sanciones y Verificación de UBO. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Diligent has no verified rating, 0 comments, 104 favorites, and 112 likes;Sphinx has no verified rating, 0 comments, 138 favorites, and 154 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Diligent first

Put Diligent on the priority trial list when the task aligns with “Cumplimiento” and especially Verificación de Negocios, Automatización de cumplimiento, diligencia debida, Modelo de Lenguaje de Gran Escala y tecnología regulatoria. This follows recorded positioning and does not imply unlisted capabilities are absent.

Diligent also currently records: pricing is paid, product type is website, 9.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Sphinx first

Put Sphinx on the priority trial list when the task aligns with “Cumplimiento” and especially Cumplimiento, delito financiero, Detección de PEP, Detección de sanciones y Verificación de UBO. This follows recorded positioning and does not imply unlisted capabilities are absent.

Sphinx also currently records: pricing is paid, product type is website, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Diligent and Sphinx, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Preguntas frecuentes

How should I choose between Diligent and Sphinx?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.