- Home
- AI Voice Agents
- Rapida AI
Rapida AI
What it is
Rapida AI is an open-source platform for building and running 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 use or switch among their own speech-to-text, text-to-speech, and language-model providers without changing application logic. Documented connections include telephony, AI, and speech providers such as Twilio, Vonage, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, and ElevenLabs. Agents can call HTTP endpoints during conversations and sync information from Notion, GitHub, HubSpot, and Jira. For operations, Rapida offers traces, transcripts, call monitoring, handoff visibility, and request and webhook logs. It is available as a managed cloud service or for self-hosting. The maker says self-hosting keeps audio, transcripts, and customer data on the team'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, and Grow costs $2,000 a month.
For and against
For
- Routes among teams' own AI and speech providers.
- Supports live call transfer and knowledge retrieval.
- Offers managed cloud and self-hosted deployment.
- Includes traces, transcripts, monitoring, and logs.
Against
- Self-hosting requires Docker.
- Voice Only self-hosting needs at least 4 GB RAM.
- Scale costs $500 a month.
- Launch includes one agent and 10-day observability retention.
The verdict
Rapida AI combines voice-agent tools, provider choice, and operational visibility, with managed and self-hosted deployment options. Teams should account for self-hosting requirements or the paid plans' costs and limits.
Who it suits
Rapida AI suits agencies, enterprise teams, contact center operators, CPaaS and CCaaS companies, and developers building voice agents. Agencies can create client-branded assistants and keep workspaces separate.
Plans and prices
Launch
1 agent · Bring your own STT, TTS, LLM, and SIP · 10-day observability retention · Community support
Read 30 Sep 2026 · rapida.ai
Scale
4 agents · 3 collaboration workspaces · 100,000 audio session minutes included · Up to 200 concurrent sessions
Read 30 Sep 2026 · rapida.ai
Grow
Unlimited agents · Up to 20 collaboration workspaces · 500,000 audio session minutes included · Up to 1,000 concurrent sessions
Read 30 Sep 2026 · rapida.ai
Enterprise
Private or dedicated deployment · Custom agent, workspace, and concurrency limits · Custom observability retention · Custom local STT, TTS, and LLM support
Read 30 Sep 2026 · rapida.ai
On the record
- Audience
- The maker describes Rapida as serving agencies, enterprise teams, contact center operators, CPaaS and CCaaS companies, and developers.rapida.ai · read 30 Sep 2026
- Compliance options
- The maker describes self-hosted deployment on HIPAA-compliant or GDPR-scoped infrastructure with the customer's own BAAs and DPAs, plus audit logs, configurable retention, and transcript-level PII redaction.doc.rapida.ai · read 30 Sep 2026
- Deployment
- Rapida offers managed cloud service and self-hosted deployment on infrastructure controlled by the team or its clients.doc.rapida.ai · read 30 Sep 2026
- Integrations
- Documented providers include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure, and AWS.doc.rapida.ai · read 30 Sep 2026
- Observability
- Rapida provides session traces, live observability, transcripts, call monitoring, handoff visibility, request logs, webhook logs, and debugging context.rapida.ai · read 30 Sep 2026
- Product
- Rapida AI is an open-source platform for building, deploying, and operating production voice AI agents across phone, web, WhatsApp, and SIP.rapida.ai · read 30 Sep 2026
- Provider choice
- Teams can bring or route between their own STT, TTS, and LLM providers without rewriting application logic.rapida.ai · read 30 Sep 2026
- Security and data control
- The maker says self-hosted deployments keep audio, transcripts, and customer data on the user's infrastructure, and its credential vault encrypts API keys and OAuth tokens at rest.doc.rapida.ai · read 30 Sep 2026
- Self-host requirements
- The documented self-hosted setup requires Docker and at least 4 GB RAM for Voice Only or 8–16 GB RAM with the knowledge base.doc.rapida.ai · read 30 Sep 2026
- Support
- Launch includes community support, Scale includes email support, Grow includes email and private Slack support, and Enterprise includes SLA and enterprise support.rapida.ai · read 30 Sep 2026
- Voice features
- The platform supports speech processing with VAD and noise cancellation, knowledge retrieval, LLM routing, and live call transfer.doc.rapida.ai · read 30 Sep 2026
- White-label
- Agencies can launch client-branded assistants, isolate workspaces, and reuse rollout patterns.rapida.ai · read 30 Sep 2026
- Workflow connections
- Rapida can call HTTP endpoints during conversations and sync data from Notion, GitHub, HubSpot, and Jira.doc.rapida.ai · read 30 Sep 2026
