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.
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.
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.
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.
Detailed feature comparison
| Feature | DataVisor | Diligent |
|---|---|---|
| Categoria principal | Gestão de Riscos | Conformidade |
| Adicionado | 2025-08-10 | 2025-08-14 |
| Preço | Não verificado | Pago |
| Site oficial | www.datavisor.com | www.godiligent.ai |
| Tipo de produto | Site | Site |
| Performance data | ||
| Avaliação | Não verificado | Não verificado |
| Comentários | 0 | 0 |
| Visitas mensais | 19.2K | 9.3K |
| Crescimento mensal | -5.4% | 17.5% |
| Favoritos | 120 | 104 |
| Details | Ver detalhes | Ver 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
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.6% | 8.6K |
| 🇳🇬Nigeria | 24.66% | 4.7K |
| 🇮🇳India | 16.46% | 3.2K |
| 🇨🇦Canada | 7.53% | 1.4K |
| 🇳🇱Netherlands | 6.75% | 1.3K |
Fontes de tráfego
| Source type | Percentage | Traffic |
|---|---|---|
| Direto | 100% | 19.2K |
Palavras-chave
Diligent monthly traffic:
Latest traffic
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/region | Percentage | Traffic |
|---|---|---|
| 🇬🇧United Kingdom | 30.42% | 2.8K |
| 🇺🇸United States | 25% | 2.3K |
| 🇮🇳India | 20.28% | 1.9K |
| 🇳🇱Netherlands | 15.46% | 1.4K |
| 🇪🇸Spain | 8.84% | 819 |
Palavras-chave
Usage comparison
Compare the core capabilities of DataVisor and Diligent
DataVisor Core features
Diligent Core features
Use cases
DataVisor Use cases
Diligent Use cases
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.




