Voiceflow

Collaborative platform for designing and deploying AI agents.

Voiceflow is a collaborative platform for designing, prototyping, and deploying AI agents and conversational experiences, enabling cross-functional teams to build voice and chat agents without requiring deep machine learning expertise. Building conversational AI experiences traditionally required significant technical specialization; Voiceflow addresses this with a visual, collaborative design environment that allows product managers, designers, and conversation designers to work alongside engineers in building agent experiences. The platform has notable enterprise customers including JP Morgan, KAYAK, and Spotify, reflecting adoption across financial services, travel, and consumer technology. Voiceflow serves the full range from SMB to enterprise and differentiates through its collaborative, cross-functional design approach to building conversational agents, rather than positioning purely as a developer tool.

Compliance

GDPR SOC 2

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Key Features

Visual conversation design: Provides a visual interface for designing conversational flows and agent behavior, making conversational AI design accessible to non-engineering roles like product managers and conversation designers.
Collaborative workflow: Supports multiple team members working together on agent design, bridging the gap between technical and non-technical contributors in building conversational experiences.
Voice and chat agent support: Supports building agents for both voice and chat modalities, covering the range of conversational interfaces businesses commonly deploy.
Prototyping and testing: Provides tools for prototyping and testing agent behavior before deployment, supporting iterative refinement of conversational experiences.
Multi-model architecture: Uses multiple underlying LLM providers, giving teams flexibility in which models power their agents.
Enterprise-grade adoption: Used by major enterprises including JP Morgan, KAYAK, and Spotify, reflecting validation across regulated and consumer-facing industries alike.

Use Cases

For cross-functional teams building conversational agents: A company building a customer-facing chat or voice agent uses Voiceflow to allow product managers and conversation designers to collaborate directly on agent design alongside engineers, rather than requiring every change to go through a development cycle.
For enterprises deploying agents across voice and chat channels: A large enterprise wants a consistent conversational AI experience across both voice and chat channels uses Voiceflow to design and deploy agents for both modalities from a unified platform.

Pricing MODELS

Freemium

Pricing Summary

Voiceflow offers a free tier, a Sandbox plan at $50 per editor per month, and custom enterprise pricing for larger organizations. Pricing is publicly listed on their website.