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RAPID PROTOTYPING
Build and iterate with speed
and full control
MORE AGENTS, LESS OVERHEAD
Scale fast without breaking
the bank
SMARTER RETRIEVAL, CLEANER ARCHITECTURE
Stop the egress. Bring voice to your data, not vice versa.
THE CAKE DIFFERENCE
From brittle voice bots to scalable,
agentic architecture
Traditional IVR / voice bot
Rigid, scripted, and frustrating: Menu trees and keyword-based bots that often confuse more than they help.
- Predefined flows that can’t adapt mid-conversation
- Fails on ambiguous or multi-turn queries
- Requires constant manual scripting to update
- Poor handoff to human agents and no learning over time
Voice Agents with Cake
Conversational, adaptive, and action-oriented: Use Cake to build voice agents that understand intent, take action, and improve over time.
- Agents can retrieve, reason, and act across systems
- Handles follow-ups, clarifications, and goal completion
- Easily integrates with APIs, databases, and back-office tools
- Full observability, evaluations, and language model flexibility
EXAMPLE USE CASES
Real-world voice workflows,
powered by AI
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Customer support automation
Deploy AI voice agents that handle high call volumes while maintaining high-quality service and reducing costs.
Outbound sales
Automate repetitive outreach tasks to boost productivity, increase conversion rates, and free up human teams for higher-value work.
Virtual receptionists
Provide 24/7 phone coverage without the expense of round-the-clock staff, improving responsiveness and customer satisfaction.
Order processing & status updates
Automate inbound calls for order placement, tracking, and status updates in industries such as retail, food delivery, or logistics.
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Appointment assistant
Send proactive reminders, reschedule appointments, or confirm bookings without human intervention, reducing no-shows and cancellations.
Internal helpdesk automation
Handle routine employee requests such as password resets, benefits inquiries, or system troubleshooting without tying up internal teams.
Scott Stafford
Chief Enterprise Architect at Ping
CEO
InsureTech Company
Felix Baldauf-Lenschen
CEO and Founder
COMPONENTS
Tools for your Cake-powered
voice agent stack
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.
LiveKit
LiveKit delivers real-time audio and video streaming through its open-source WebRTC platform. Cake makes it easy to integrate LiveKit into multi-agent AI workflows with built-in communication handling, orchestration, and secure infrastructure management.
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.
Milvus
Milvus is an open-source vector database built for high-speed similarity search. Cake integrates Milvus into AI stacks for recommendation engines, RAG applications, and real-time embedding search.
Langflow
Langflow is a visual drag-and-drop interface for building LangChain apps, enabling rapid prototyping of LLM workflows.
Langfuse
Langfuse is an open-source observability and analytics platform for LLM apps, capturing traces, user feedback, and performance metrics.
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