Voiceflow is a platform for designing, prototyping and launching voice and chat ai agents, specifically for customer service use cases. It allows teams to build impactful ai agents without coding through a drag-and-drop interface. It supports ambitious teams that want to deliver brand-worthy customer experiences across channels.
Founded by Andrew Lawrence, Braden Ream, Michael Hood, Tyler Han as Storyflow and later renamed Voiceflow.
Raised $15 million in series b funding, total investment approximately $35 million.
Named in Gartner's Innovation Guide for AI Agents key vendor for customer service.
Cloud-based SaaS platform
Conversational AI platform with support for voice and chat agents, drag-and-drop interface, and multi-channel deployment capabilities
Technologies from RocketReach profile; core capabilities from official website
| Service | Cost | Details | Source |
|---|---|---|---|
| Sandbox | $0 | Single editor, 1 workspace, 50 knowledge base sources per agent, 500 table rows, 2 agents, 100K monthly AI tokens, no credit card required | — |
| Pro | $50/mo per editor (monthly), $480 per editor/year (annual, 20% off) | Up to 2 editors, 1 workspace, 200 knowledge base sources per agent, 5000 table rows, up to 20 agents, 4M monthly AI tokens, 50k messages/mo per agent | — |
| Team | $125/mo per editor (monthly), $1200 per editor/year (annual, 20% off) | Up to 5 editors, 1 workspace, 5000 knowledge base sources per agent, 1M table rows, unlimited agents, 20M monthly AI tokens, priority support, 100k messages/mo per agent | — |
| Enterprise | Custom pricing (billed annually) | Unlimited editors/workspaces/agents/knowledge sources, SSO, private cloud hosting, 200M monthly AI tokens, ISO-27001 & SOC II, dedicated support, custom SLAs | — |
| Feature | Voiceflow | Botpress | Rasa | Dialogflow |
|---|---|---|---|---|
| Core Functionality | Voice & Chat AI Agents | Open Source Chatbots | Conversational AI Framework | Google Cloud Chatbots |
| Pricing (Starting Price) | $50/mo per editor | Free (Enterprise $495/mo) | Free (Enterprise custom) | $0.002/query |
| Free Tier | Yes (Sandbox) | Yes (Community) | Yes (Open Source) | Yes (Essentials) |
| Enterprise Features | SSO, Private Cloud, Custom SLAs | SSO, Custom NLU | SSO, On-premise | SSO, VPC |
| API Availability | Yes (Dialog API) | Yes | Yes | Yes |
| Integration Count | Knowledge Bases, LLMs | 400+ (Open Source) | Custom | Google Cloud Ecosystem |
| Support Options | Priority (Team+), Dedicated (Enterprise) | Community, Enterprise | Community, Enterprise | Standard, Premium |
| Security Certifications | ISO-27001, SOC II | SOC 2 (Enterprise) | Custom | SOC 1/2/3, ISO 27001 |
Voiceflow uses a no-code visual builder optimized for voice + chat agents, and it integrates very well with large language models. On the other hand, Botpress is designed to be developer focused, with an open-source flexible architecture which can take a steep learning curve.
Use Voiceflow for rapid prototyping or for non technical teams, and use Botpress for custom enterprise deployments.
Voiceflow supports multiple large language models and allows you to orchestrate your agents fully, while Dialogflow is a google centric system. While Voiceflow charges higher than Dialogflow per editor, it also includes unlimited agents on the team tier.
Use Voiceflow for the ability to have flexibility among multiple models, and use Dialogflow when you are looking for integration into the Google ecosystem.
Voiceflow is a no-code SaaS platform for building agents versus Rasa, which is an open source, code heavy framework for building agents. Voiceflow is faster to get running than Rasa, but less customizable at scale.
Use Voiceflow if you want to go fast to market and need rapid prototyping, and use Rasa if you require full control and have on premise needs.
Voiceflow is a platform specifically for building agents versus Yellow.ai, which is a full voice bot platform with telephony. The cost of Voiceflow is lower than Yellow.ai, however Voiceflow does not include any native voice infrastructure.
Use Voiceflow for agent orchestration and use Yellow.ai for complete voice solutions.
Create Conversational Flows Without Writing Any Code in a Visual Canvas
Manage Multiple AI Agents Within Projects
Break Down Complex Conversations Into Decision Paths and Logic Flows
Maintain Session Context for Coherent Multi-Turn Conversations
Route Intelligently and Seamlessly Escalate to Human Agents
Personalize Flows Based On Intent, Sentiment, and Customer Data
Multi-LLM support with BYO-LLM flexibility
Blocks Light Up During Conversation Simulation
Provide Transcripts of All Conversed Across All Channels
Track Latency Improvements Of Up To 1200 ms
Record Calls, Event Webhooks, Answer Machine Detection
Track Retrieval and Answer Accuracy
Track Versioning and Changes Made to Workflow
| Product | Purpose | Status |
|---|---|---|
| Voiceflow Pro | No-code flow builder | GA |
| Knowledge Base | Vector-based document search | Active |
| Dialog API | Custom channel deployment | Stable |
| Zendesk Integration | Support ticket automation | Active |
| STT Providers | Speech-to-text integrations | Multiple |
