Cake for
Voice Agents

Overview

Voice interfaces are back, but this time, they’re powered by LLMs. Whether it’s customer support, sales, workflow automation, or helpdesk triage, voice agents offer high efficiency and intuitive UX. The challenge is delivering low-latency performance while orchestrating models, tools, and APIs across a real-time stack. This orchestration requires tightly integrated components across speech, inference, memory, and action.

Cake provides a composable voice agent stack with everything you need: low-latency model serving (via LiteLLM + vLLM), real-time ASR/TTS, agent orchestration with LangGraph or Pipecat, and full integration with CRMs, databases, and telephony providers. Stream responses with millisecond latency, retrieve real-time data, and act on it—all with observability and compliance built in.

With Cake, your voice agents don’t just talk—they act, retrieve, and scale across your enterprise systems.

Key benefits

✓ Pre-integrated components: Start with a ready-to-go stack including orchestration, LLMs, telephony, speech-to-text, and observability—so you can focus on building, not plumbing.

✓ Rapid deployment and scaling: Deploy voice agents into your own VPC with autoscaling, policy controls, and built-in security. No need to build and maintain custom cloud infrastructure.

✓ Real-time monitoring and rapid iteration: Track performance, identify bottlenecks, and optimize conversational flows with Cake-managed open-source observability tools. No black boxes.

✓ Built-in AI/ML optimization: Go beyond simple automation by easily layering in Retrieval-Augmented Generation (RAG), custom models, and analytics—all managed through Cake.