Regal es una plataforma de agentes de IA de nivel empresarial que automatiza las comunicaciones por voz para ventas, soporte y operaciones. Despliega agentes de IA similares a los humanos que gestionan llamadas 24/7, mejorando los resultados empresariales al aumentar las tasas de conversión, reducir costes y mejorar la satisfacción del cliente.
Vapi es una plataforma API para desarrolladores para construir, desplegar y escalar agentes de IA de voz avanzados y de aspecto humano. Permite la creación de IA conversacional sofisticada para llamadas entrantes/salientes, asistentes en la aplicación y más, con latencia ultrabaja y alta configurabilidad.
Resumen del producto
Regal Resumen del producto
Regal es una plataforma de agentes de IA de nivel empresarial que automatiza las comunicaciones por voz para ventas, soporte y operaciones. Despliega agentes de IA similares a los humanos que gestionan llamadas 24/7, mejorando los resultados empresariales al aumentar las tasas de conversión, reducir costes y mejorar la satisfacción del cliente.
Vapi Resumen del producto
Vapi es una plataforma API para desarrolladores para construir, desplegar y escalar agentes de IA de voz avanzados y de aspecto humano. Permite la creación de IA conversacional sofisticada para llamadas entrantes/salientes, asistentes en la aplicación y más, con latencia ultrabaja y alta configurabilidad.
Detailed feature comparison
| Feature | Regal | Vapi |
|---|---|---|
| Categoría principal | Asistente de Voz | Asistente de Voz |
| Añadido | 2025-08-13 | 2025-08-17 |
| Precio | De pago | Freemium |
| Sitio oficial | www.regal.ai | vapi.ai |
| Tipo de producto | Sitio web | Sitio web |
| Performance data | ||
| Valoración | Sin verificar | Sin verificar |
| Comentarios | 0 | 0 |
| Visitas mensuales | 30.9K | 974.8K |
| Crecimiento mensual | -15% | -18.6% |
| Favoritos | 100 | 134 |
| Details | Ver detalles | Ver detalles |
Regal vs Vapi monthly traffic
Compare Regal and Vapi by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Regal vs Vapi monthly traffic comparison, Regal currently shows 30.9K visits and Vapi shows 974.8K; Vapi has about 31.6 times the visible traffic of Regal, an absolute difference of about 943.9K 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.
Regal monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 35.2K Visitas mensuales
- 2026/1: 37.4K Visitas mensuales
- 2026/2: 40.7K Visitas mensuales
- 2026/3: 42.8K Visitas mensuales
- 2026/4: 36.3K Visitas mensuales
- 2026/5: 30.9K Visitas mensuales
Regiones principales
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 73.78% | 22.8K |
| 🇮🇳India | 8.89% | 2.7K |
| 🇨🇦Canada | 6.2% | 1.9K |
| 🇵🇭Philippines | 5.67% | 1.8K |
| 🇬🇧United Kingdom | 5.46% | 1.7K |
Fuentes de tráfico
| Source type | Percentage | Traffic |
|---|---|---|
| Directo | 90.66% | 28K |
| Referido | 8.44% | 2.6K |
| Correo electrónico | 0.9% | 278 |
Palabras clave
Vapi monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.2M Visitas mensuales
- 2026/1: 1.4M Visitas mensuales
- 2026/2: 1.2M Visitas mensuales
- 2026/3: 1.3M Visitas mensuales
- 2026/4: 1.2M Visitas mensuales
- 2026/5: 974.8K Visitas mensuales
Regiones principales
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.88% | 437.5K |
| 🇮🇳India | 27.05% | 263.7K |
| 🇬🇧United Kingdom | 15.24% | 148.6K |
| 🇳🇬Nigeria | 7.2% | 70.2K |
| 🇨🇦Canada | 5.63% | 54.9K |
Fuentes de tráfico
| Source type | Percentage | Traffic |
|---|---|---|
| Directo | 80.3% | 782.7K |
| Referido | 16.41% | 160K |
| Correo electrónico | 3.29% | 32.1K |
Palabras clave
Usage comparison
Compare the core capabilities of Regal and Vapi
Regal Core features
Vapi Core features
Use cases
Regal Use cases
Vapi Use cases
Regal vs Vapi:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Regal vs Vapi comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Regal is primarily listed under “Asistente de Voz”, while Vapi is primarily listed under “Asistente de Voz”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Regal: Paid; Vapi: Freemium); Monthly visits (Regal: 30.9K; Vapi: 974.8K); Monthly growth (Regal: -15%; Vapi: -18.6%); Favorites (Regal: 100; Vapi: 134); Website (Regal: www.regal.ai; Vapi: vapi.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Regal vs Vapi monthly traffic comparison, Regal currently shows 30.9K visits and Vapi shows 974.8K; Vapi has about 31.6 times the visible traffic of Regal, an absolute difference of about 943.9K 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 Vapi 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
Regal and Vapi currently overlap in shared categories: Asistente de Voz, Automatización y Generación de Leads; shared tags: Soporte al cliente e IA de voz. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Regal's unique categories/tags are Agente de IA, Automatización de llamadas, Centro de contacto, IA Empresarial, Calificación de leads, Omnicanal y Automatización de ventas; Vapi's are API y SDK, API, automatización, Call center, IA Conversacional, Herramientas para desarrolladores, Modelo de Lenguaje de Gran Escala y Llamadas salientes. 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
Regal has no verified rating, 0 comments, 100 favorites, and 106 likes;Vapi has no verified rating, 0 comments, 134 favorites, and 141 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Regal first
Put Regal on the priority trial list when the task aligns with “Asistente de Voz” and especially Agente de IA, Automatización de llamadas, Centro de contacto, IA Empresarial, Calificación de leads y Omnicanal. This follows recorded positioning and does not imply unlisted capabilities are absent.
Regal also currently records: pricing is paid, product type is website, 30.9K 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 Vapi first
Put Vapi on the priority trial list when the task aligns with “Asistente de Voz” and especially API y SDK, API, automatización, Call center, IA Conversacional y Herramientas para desarrolladores. This follows recorded positioning and does not imply unlisted capabilities are absent.
Vapi also currently records: pricing is freemium, product type is website, 974.8K 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 Regal and Vapi, 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.




