Rapida AI vs Voiceflow

Rapida AI is an open-source platform for building and operating voice AI agents across phone, web, WhatsApp and SIP. It supports speech processing with voice activity detection and noise cancellation, knowledge retrieval, language-model routing and live call transfer. Teams can bring their own speech-to-text, text-to-speech and language-model providers or route between them without rewriting application logic. Listed integrations include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure and AWS. Agents can call HTTP endpoints during conversations and sync data from Notion, GitHub, HubSpot and Jira. Rapida provides session traces, transcripts, call monitoring, handoff visibility, request and webhook logs, and debugging context. It offers managed cloud or self-hosted deployment. The maker says self-hosting keeps audio, transcripts and customer data on the user's infrastructure; setup requires Docker and at least 4 GB RAM for Voice Only, or 8–16 GB with the knowledge base. Launch is free. Scale costs $500 a month, Grow costs $2,000 a month, and Enterprise pricing is custom.

Voiceflow is a platform for building, testing, deploying, and monitoring chat and voice agents across channels and languages. Its builder combines agentic playbooks, deterministic workflows, shared instructions, and guardrails. Teams can review transcripts and call recordings, run evaluations and tests, and track analytics. Agents can reach users through a native chat widget, mobile apps, phone calls, SMS, or custom interfaces built with the Conversations API. Native integrations include Zendesk, Salesforce, HubSpot, Shopify, Airtable, Google Sheets, Gmail, and Twilio. Agents can also connect to external REST APIs, custom Functions, and MCP servers. Teams can choose from major LLM providers or bring their own model. Voiceflow says customer data is not used to train AI or machine-learning models and integrated model providers are configured for zero data retention. Its security information describes encryption at rest with customer-managed keys and encryption in transit using TLS and mTLS. The company was founded in 2019. Agencies and partners have a free-trial plan with usage-based billing; business pricing is available on request. Support includes implementation that can be self-serve or fully managed.