Regal vs VAPI

1. Using Customer Data to Perfect Every Interaction
2. Enterprise-Grade Support & Services
3. Built for Enterprise Business Users

Vapi offers developers the flexibility to build highly customized AI agents from the ground up. However, integrating customer data and building intelligence into the conversation flow is entirely up to your team. Without native integrations, data often remains siloed requiring manual work to enable personalization or optimize performance. This makes it hard to iterate quickly and scale efficiently.

Regal is purpose-built to turn your first-party data into high-performance conversations. With 40+ native integrations, real-time feedback loops, and a no-code agent builder, Regal AI Agents personalize each interaction just like your best human reps. 

Continuously learning from interactions, Regal AI Agents evolve alongside your human agents, using data to act and complete tasks, so your human agents can focus on the most important conversations. 

Vapi is built for self-serve developers. Support is limited to Discord access, documentation, email or community forums—there’s no dedicated onboarding or implementation help. 

Regal is an enterprise partner. From day one, you receive white-glove implementation, a dedicated success team, real-time monitoring, and a hands-on team that helps design, build, and continuously optimize your AI Agents.

Vapi gives developers a flexible API to create AI agents, but requires technical resources to build, test, and maintain every interaction. Simple changes like updating a script or adjusting logic require code and deployment cycles, slowing down iteration and experimentation.

Regal is built for enterprise business users to provide immediate value and impact. With a no-code AI Agent Builder, Regal supports CX and ops teams to launch, customize, and optimize agents in real time. This means faster launches, easier updates, and greater impact on the business.