Voiceflow provides a no‑code visual platform for building, testing, and deploying conversational AI agents across chat and voice channels. It supports LLM‑agnostic model integration, pre‑built connectors to business systems, and collaborative version control, with cloud‑native hosting that offers auto‑scaling and SOC 2/GDPR compliance. Integrated analytics give product teams visibility into usage and performance.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
OFounders
Product
Problem
Product teams often need to create conversational AI agents for chat and voice channels, but traditional development requires extensive coding, complex LLM integration, and coordination across multiple tools. This slows time‑to‑market, raises the barrier for non‑engineers, and makes it difficult to maintain security and observability across deployments.
Solution
Voiceflow offers a no‑code, visual development platform that lets product teams design, test, and launch AI agents for both text and voice interactions without writing code. The environment supports LLM‑agnostic model selection, enabling teams to swap underlying language models as technology evolves. Built‑in API connectors and a Functions layer let agents pull data from CRM, e‑commerce, analytics, and data‑warehouse systems, extending conversational logic with real‑time business data. Collaborative workspaces provide version control, role‑based access, and shared testing sandboxes, ensuring cross‑functional teams stay aligned. Deployments are managed through a cloud‑native runtime that scales automatically across channels while maintaining SOC 2 and GDPR compliance. Integrated analytics surface interaction metrics and performance dashboards, giving product owners observability into usage, error rates, and user satisfaction.
Target Audience
The platform is aimed at product and engineering teams building customer‑support bots, in‑app copilots, and contact‑center automation for enterprises and fast‑growing SaaS companies. It also serves CX designers and AI specialists who need a secure, collaborative environment to prototype and scale conversational experiences.
Features
- Drag‑and‑drop flow builder with visual state management for both voice (IVR) and chat dialogs
- LLM‑agnostic architecture supporting OpenAI, Anthropic, Cohere, and custom models via API keys
- Functions module (JavaScript/Node) for custom business logic, data enrichment, and external API calls
- Pre‑built integrations for Salesforce, Zendesk, Shopify, Snowflake, Segment, and Sigma, plus an open SDK for additional connectors
- Real‑time collaboration with role‑based permissions, change history, and multi‑user editing
- Automated testing sandbox with simulated user utterances, speech synthesis, and regression reporting
- Cloud‑hosted execution engine with auto‑scaling, load balancing, and built‑in security certifications (SOC 2, GDPR)
- Analytics dashboard delivering KPI tracking, funnel visualization, and exportable logs for downstream BI tools