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DataVisor
Gestão de Riscos · 19.2K visitas mensais

O DataVisor é uma plataforma de fraude e risco alimentada por IA de nível empresarial. Utiliza machine learning patenteado e IA generativa para fornecer deteção e prevenção de fraudes em tempo real. A plataforma ajuda empresas de finanças, fintech e pagamentos digitais a reduzir perdas por fraude, aumentar a eficiência operacional e melhorar as taxas de aprovação, identificando com precisão atores maliciosos e minimizando falsos positivos.

VS
Diligent
Conformidade · 9.3K visitas mensais

Diligent é uma plataforma alimentada por IA para fintechs e bancos, projetada para automatizar e aprimorar a devida diligência em clientes empresariais. Ela utiliza IA Generativa para investigar a presença online, descobrir conexões de rede com entidades de alto risco e monitorar riscos emergentes, fortalecendo a conformidade contra fraudes e AML.

DataVisor vs Diligent: preços, recursos e tráfego

Compare DataVisor e Diligent por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

DataVisor Visão geral

O DataVisor é uma plataforma de fraude e risco alimentada por IA de nível empresarial. Utiliza machine learning patenteado e IA generativa para fornecer deteção e prevenção de fraudes em tempo real. A plataforma ajuda empresas de finanças, fintech e pagamentos digitais a reduzir perdas por fraude, aumentar a eficiência operacional e melhorar as taxas de aprovação, identificando com precisão atores maliciosos e minimizando falsos positivos.

Preview

Diligent Visão geral

Diligent é uma plataforma alimentada por IA para fintechs e bancos, projetada para automatizar e aprimorar a devida diligência em clientes empresariais. Ela utiliza IA Generativa para investigar a presença online, descobrir conexões de rede com entidades de alto risco e monitorar riscos emergentes, fortalecendo a conformidade contra fraudes e AML.

Preview

Detailed feature comparison

FeatureDataVisorDiligent
Categoria principalGestão de RiscosConformidade
Adicionado2025-08-102025-08-14
PreçoNão verificadoPago
Site oficialwww.datavisor.comwww.godiligent.ai
Tipo de produtoSiteSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais19.2K9.3K
Crescimento mensal-5.4%17.5%
Favoritos120104
DetailsVer detalhesVer detalhes

DataVisor vs Diligent monthly traffic

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

How to interpret the traffic data

In the DataVisor vs Diligent monthly traffic comparison, DataVisor currently shows 19.2K visits and Diligent shows 9.3K; DataVisor has about 2.1 times the visible traffic of Diligent, an absolute difference of about 10K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

DataVisor monthly traffic:

Latest traffic

Visitas mensais
19.2K
Duração média
0:32
Páginas por visita
1.55
Taxa de rejeição
45.58%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 39.2K Visitas mensais
  • 2026/1: 36.6K Visitas mensais
  • 2026/2: 24.5K Visitas mensais
  • 2026/3: 22.7K Visitas mensais
  • 2026/4: 20.3K Visitas mensais
  • 2026/5: 19.2K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States44.6%8.6K
🇳🇬Nigeria24.66%4.7K
🇮🇳India16.46%3.2K
🇨🇦Canada7.53%1.4K
🇳🇱Netherlands6.75%1.3K

Fontes de tráfego

Source typePercentageTraffic
Direto100%19.2K

Palavras-chave

common bank frauddatavisorfake crypto walletfake wallet addressfraud detection in financial systems

Diligent monthly traffic:

Latest traffic

Visitas mensais
9.3K
Duração média
0:05
Páginas por visita
1.59
Taxa de rejeição
40.82%
Data updated 2026-06-15

Monthly traffic trend

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

Principais regiões

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

Palavras-chave

diligentdiligent aidiligent complyadvantagediligent kycgo diligence kyb
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate DataVisor first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of DataVisor and Diligent

DataVisor Core features

Automação
Detecção de Fraude
Gestão de Riscos

Diligent Core features

Automação
Detecção de Fraude
Conformidade

Use cases

DataVisor Use cases

AML
Fintech
Detecção de fraude
gestão de riscos
Segurança bancária
Solução empresarial
segurança financeira
IA generativa
aprendizado de máquina
detecção em tempo real

Diligent Use cases

AML
Fintech
Detecção de fraude
gestão de riscos
Verificação de Negócios
Automação de conformidade
diligência prévia
KYC
Modelo de Linguagem de Grande Escala
Regtech
tecnologia regulatória

DataVisor vs Diligent:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

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

The structured fields currently show these decision-relevant differences: Primary category (DataVisor: Gestão de Riscos; Diligent: Conformidade); Pricing (DataVisor: Not disclosed; Diligent: Paid); Monthly visits (DataVisor: 19.2K; Diligent: 9.3K); Monthly growth (DataVisor: -5.4%; Diligent: 17.5%); Favorites (DataVisor: 120; Diligent: 104). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the DataVisor vs Diligent monthly traffic comparison, DataVisor currently shows 19.2K visits and Diligent shows 9.3K; DataVisor has about 2.1 times the visible traffic of Diligent, an absolute difference of about 10K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate DataVisor first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

DataVisor and Diligent currently overlap in shared categories: Automação e Detecção de Fraude; shared tags: AML, Fintech, Detecção de fraude e gestão de riscos. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

DataVisor's unique categories/tags are Gestão de Riscos, Segurança bancária, Solução empresarial, segurança financeira, IA generativa, aprendizado de máquina e detecção em tempo real; Diligent's are Conformidade, Verificação de Negócios, Automação de conformidade, diligência prévia, KYC, Modelo de Linguagem de Grande Escala, Regtech e tecnologia regulatória. 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

DataVisor has no verified rating, 0 comments, 120 favorites, and 109 likes;Diligent has no verified rating, 0 comments, 104 favorites, and 112 likes。

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

Selection guidance by actual need

When to evaluate DataVisor first

Put DataVisor on the priority trial list when the task aligns with “Gestão de Riscos” and especially Gestão de Riscos, Segurança bancária, Solução empresarial, segurança financeira, IA generativa e aprendizado de máquina. This follows recorded positioning and does not imply unlisted capabilities are absent.

DataVisor also currently records: pricing is not verified, product type is website, 19.2K 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 Diligent first

Put Diligent on the priority trial list when the task aligns with “Conformidade” and especially Conformidade, Verificação de Negócios, Automação de conformidade, diligência prévia, KYC e Modelo de Linguagem de Grande Escala. 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.

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 DataVisor and Diligent, 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.

FAQ da comparação

How should I choose between DataVisor and Diligent?
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.