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Cake for Voice Agents

Use open-source, low-latency components to build production-ready voice agents optimized for speed, scale, and integration with enterprise data.

 

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Build real-time voice agents with modular, cloud-agnostic infrastructure

Voice interfaces are back—but this time, they’re powered by LLMs. Whether it’s inbound customer support, outbound automation, or internal helpdesk routing, 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 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

  • Build for real-time performance: Stream responses with low-latency inference and control. Cake uses the best-in-class open-source tools in its stack and ensures they stay updated for optimal performance.

  • Run on open source: Use best-in-class voice models and orchestration tools with full flexibility.

  • Integrate seamlessly: Connect to CRMs, telephony providers, and databases with enterprise-ready compliance.

Common use cases

Common scenarios where teams use Cake to deploy voice agents:

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Inbound support automation

Replace static IVR trees with intelligent agents that understand natural language and resolve issues.

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Outbound follow-ups & scheduling

Enable automated call flows that confirm appointments, renew contracts, or collect structured info.

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Internal IT or HR voicebots

Let employees interact with internal systems over voice, from PTO policies to helpdesk requests.

Components

  • Orchestration and agents: LangGraph, Pipecat
  • Model serving: vLLM
  • Models: Qwen, Whisper, Coqui, Bark
  • Streaming & response control: LangChain, LlamaIndex
  • Integration tooling: AirByte, DBT
  • Data stores: Weaviate, PostgreSQL
  • Monitoring & observability: Prometheus, Grafana
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"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

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Scott Stafford
Chief Enterprise Architect at Ping

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

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InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

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