Voice | Rasa Conversational AI Solutions

Voice AI That Solves for Speed, Accuracy, and Scale

Rasa Voice is a real-time conversational AI platform that meets modern enterprise demands. Success is measured in latency, reliability, containment, and cost-per-call. That’s why Rasa separates conversation from execution. Each interaction follows defined logic, so responses remain fast, accurate, and scalable even as complexity grows.

Structured For Clarity And Control

Rasa Voice keeps language understanding and execution logic separate, so conversations remain natural, but outcomes remain predictable. Every decision is traceable, each step is grounded in defined flows, and automation behaves as you intend, even as user inputs vary.

Multimodal from the First Word

Unlike traditional systems that push voice through fragile ASR pipelines, Rasa processes voice and context together. It listens to the way people speak–directly and in real time. That means faster understanding, better nuance, and conversations that feel natural.

Built for Enterprise Scale

From sub-second latency to fine-tuned model orchestration, Rasa Voice is designed to meet performance benchmarks. Whether you’re optimizing for accuracy, throughput, or cost, Rasa works with your architecture, not against it, so that you can scale confidently.

Infrastructure You Control

With Rasa, your voice system runs where you need it. Choose your model (i.e., OpenAI, Anthropic, fine-tuned open source, in-house, etc.). Choose your environment (cloud, hybrid, or on-prem). You maintain full control over infrastructure, compliance, and data governance.

Built for Contact Center Outcomes

Voice is a critical channel for contact centers. Rasa Voice is designed to improve automation without introducing fragility. If you aim to reduce call volume, increase first-call resolution, or enable new self-service flows, Rasa gives you the tools to execute.