Skip to content

Cake for Customer Service Agents and Chatbots

Build low-latency, multi-turn AI assistants using open-source models and frameworks that are ready for production across any cloud or edge environment.

 

chatbot-vs-agent-which-one-wins-for-customer-service-674508
Customer Logo-4
Customer Logo-1
Customer Logo-3
Customer Logo-5
Customer Logo-2
Customer Logo

Build production-ready agents with open-source, real-time infrastructure

Generative agents are reshaping how businesses interact with customers. But turning a demo into a responsive, trustworthy customer-facing system, like a chatbot, takes more than just an LLM and a prompt.

Cake gives you a composable, cloud-agnostic framework for deploying real-time agents that can retrieve data, call tools, and carry on meaningful conversations. With support for low-latency serving, streaming outputs, and stateful reasoning, you can build systems that actually meet user expectations, without stitching together brittle infrastructure.

Whether you’re automating chat, voice, or embedded agent copilots, Cake helps you operationalize it faster with compliance, observability, and open-source components that scale. With Cake, you get the benefits of the cutting-edge open-source tools minus the hassle of manually stitching them together.

Key benefits

  • Accelerate time to deployment: Launch chatbots and assistants faster without building infrastructure from scratch.

  • Stay current: Keep your agent stack updated with the latest open-source models and tools.

  • Run in real time: Stream outputs, manage state, and maintain low latency at scale.

  • Avoid vendor lock-in: Use a composable architecture that fits your cloud and data needs.

Common use cases

Common scenarios where teams use Cake to deploy customer-facing agents:

bot

Conversational support copilots

Deploy responsive assistants that can route queries, surface data, and handle escalations via chat or voice.

handshake

Sales agents and onboarding bots

Deliver real-time, multi-turn guidance to new users, prospects, or partners using internal documentation and APIs.

brain-cog

Embedded product agents

Integrate intelligent assistance directly into SaaS apps or customer portals—no context switching required.

Components

  • Agents and orchestration: LangGraph, Pipecat
  • Models: Qwen
  • Serving and inference: vLLM
testimonial-bg

"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."

Customer Logo-4

Scott Stafford
Chief Enterprise Architect at Ping

testimonial-bg

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

CEO
InsureTech Company

testimonial-bg

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

Customer Logo-1

Felix Baldauf-Lenschen
CEO and Founder

Learn more about Cake

LLMOps system diagram with network connections and data displays.

LLMOps Explained: Your Guide to Managing Large Language Models

Data intelligence connecting data streams.

What is Data Intelligence? How It Drives Business Value

AI platform interface on dual monitors.

How to Choose the Best AI Platform for Your Business