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AI customer engagement across every messaging channel, with no per-seat fees

A collaborative platform to design, build and ship AI agents.
Voiceflow stands out for collaboration and design: teams can map, prototype and ship chat and voice agents on a shared visual canvas with support for multiple LLMs. That polish comes at a price, since cost is driven by both editor seats and a usage-based credit layer, so seats and interaction volume both matter. Voiceflow does not publish fixed prices, so model your expected usage and confirm current rates with their team. It is a strong choice for teams that value cross-functional collaboration, less so for a single builder on a tight budget.
Facts & pricing last checked September 2026. How we review
Voiceflow is a collaborative platform for designing, building and deploying AI agents across chat and voice. Its visual canvas lets product, design and engineering teams work together on the same agent, with support for multiple LLMs, knowledge grounding and analytics. Pricing combines editor seats with a usage-based credit system.
Voiceflow is a platform for designing, prototyping and deploying AI agents across chat and voice. It centers on a visual, collaborative canvas where teams map out conversation flows, connect LLMs, add knowledge sources and define logic, then publish to channels such as web chat, voice and messaging. Often described as a 'Figma for conversational AI,' its strength is letting product, design and engineering collaborate on the same agent. The platform supports multiple LLM models, knowledge-base grounding, API calls and analytics, making it suitable for building customer-support assistants and more complex agentic workflows. Pricing combines editor seats with a usage-based credit system: interactions consume credits based on what the agent does, whether handling a chat message, making a voice call or invoking an AI model. Voiceflow is a venture-backed company that has raised roughly $39 million across several rounds to date, including a $15 million round led by OpenView Venture Partners. It is a good fit for teams that need collaboration and design rigor around their agents, though the credit model means costs scale with usage and should be modeled carefully.
Voiceflow is a collaborative platform for designing, building and deploying AI agents across chat and voice. Its visual canvas lets product, design and engineering teams work on the same agent, with support for multiple LLMs and analytics. Pricing pairs editor seats with a usage-based credit system, and Voiceflow does not publish fixed prices. It has raised roughly $39 million across several rounds, including a $15M round led by OpenView. Best for teams that value collaboration and design rigor.
Voiceflow is a venture-backed company building a platform for conversational and voice AI agents, often described as the Figma of conversational AI for its collaborative design approach. It serves product, design and engineering teams building agents together.
The company has grown alongside the broader AI-agent market and positions itself around collaboration, design and multi-channel deployment.
Voiceflow provides a visual canvas for designing conversation flows, connecting multiple LLMs, grounding agents in knowledge sources, invoking APIs and defining logic. It supports both chat and voice, plus analytics and testing.
Deployment spans web chat, voice and messaging channels. Pricing combines editor seats with a usage-based credit system where different interaction types consume different amounts of credit.
Product, design and engineering teams at startups and enterprises building customer-facing chat and voice agents who value collaboration and prototyping.
Conversation designers, product managers and engineers building and maintaining agents.
Heads of product, CX or engineering purchasing team plans and editor seats.
Conversation-design practitioners, AI product communities and technical evaluators.
A product or CX team that needs to design, prototype and ship chat and voice agents collaboratively, with support for multiple LLMs and strong analytics.
Voiceflow has raised roughly $39 million in total across several rounds, including a $15 million round led by OpenView Venture Partners.
Voiceflow is used to design, prototype and deploy AI agents for chat and voice, with a visual canvas that lets teams collaborate on conversation flows and logic.
It combines editor seats with a usage-based credit system. Voiceflow does not publish fixed prices, and interactions such as messages, voice calls and LLM calls consume credits, so confirm current rates with Voiceflow.
Yes. Voiceflow supports both chat and voice agents, making it suitable for text assistants and voice or IVR-style experiences.
Yes. Collaboration is a core strength; teams can design and iterate on the same agent together on the shared canvas.
Yes. Voiceflow offers a free Sandbox tier for testing before moving to paid editor plans.
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AI customer engagement across every messaging channel, with no per-seat fees
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