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THE CAKE DIFFERENCE
From dead-end bots to agents
that actually resolve issues
Scripted Chatbots
Predefined flows that frustrate more than they help: Legacy bots rely on rigid scripts and keyword triggers, offering poor experiences.
- Can only handle narrow, predefined use cases
- Breaks easily when users deviate from the expected path
- No memory, reasoning, or integration with backend systems
- Fails to resolve complex issues or drive user satisfaction
Customer Support Agents with Cake
Goal-driven agents that solve real customer problems: Cake lets you deploy LLM-powered agents that retrieve, reason, and take action.
- Agents handle multi-turn conversations with real context
- Can integrate with APIs, databases, and internal tools
- Memory and planning enable agents to work across steps
- Built-in evals and observability ensure performance and compliance
EXAMPLE USE CASES
How teams use Cake to deploy
customer-facing agents
Conversational support copilots
Assist human agents during live chats by surfacing relevant knowledge, suggesting responses, and summarizing past interactions in real time.
Sales agents and onboarding bots
Deliver real-time, multi-turn guidance to new users, prospects, or partners using internal documentation and APIs.
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Embedded product agents
Integrate intelligent assistance directly into SaaS apps or customer portals, no context switching required.
24/7 customer support automation
Deploy AI agents to handle common inquiries (e.g., order status, refunds, or password resets) without burdening live staff.
In-product onboarding and guidance
Use chatbots to walk users through setup flows, surface help docs, or answer feature questions directly inside the product.
Fielding complex service requests
Enable agents to handle multi-intent conversations, such as rescheduling appointments, updating insurance policies, or processing claims.
Scott Stafford
Chief Enterprise Architect at Ping
CEO
InsureTech Company
Felix Baldauf-Lenschen
CEO and Founder
COMPONENTS
Tools that power Cake's agent stack
CrewAI
CrewAI simplifies the development of agent-based systems where AI agents collaborate on shared goals through defined roles and task coordination. Cake helps you deploy and manage CrewAI workloads in secure, production-ready environments—with built-in robust orchestration, observability, and full support for cloud-native scaling.
LangGraph
LangGraph is a framework for building stateful, multi-agent applications with precise, graph-based control flow. Cake helps you deploy and scale LangGraph workflows with built-in state persistence, distributed execution, and observability.
Pipecat
Pipecat is a context-aware routing engine that lets LLMs invoke live APIs, trigger tools, or respond to streaming data in real time. Cake provides the infrastructure to run Pipecat in production—handling execution, scaling, and security so you can build dynamic, tool-using agents that integrate with other components.
TrustCall
TrustCall is a LangChain-compatible agent framework designed for reliable, structured data extraction from untrusted sources.
Langflow
Langflow is a visual drag-and-drop interface for building LangChain apps, enabling rapid prototyping of LLM workflows.
Open WebUI
Open WebUI is a user-friendly, open-source interface for managing and interacting with local or remote LLMs and AI agents.
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