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Rapida AI

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What Rapida AI is

Rapida AI is an open-source platform for building, deploying and operating voice AI agents across phone, web, WhatsApp and SIP. Its capabilities include speech processing with voice activity detection and noise cancellation, knowledge retrieval, language-model routing and live call transfer. Teams can use their own speech-to-text, text-to-speech and language-model providers, or route between them without rewriting application logic. Documented integrations include telephony, AI and speech services such as Twilio, Vonage, 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. Deployment can be managed in the cloud or self-hosted. The maker says self-hosting keeps audio, transcripts and customer data on the user's infrastructure; it 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.

Who it suits

Rapida lists agencies, enterprise teams, contact center operators, CPaaS and CCaaS companies, and developers as audiences. Self-hosting may suit teams that want to keep audio, transcripts and customer data on their own infrastructure.

What it does well

  • Supports phone, web, WhatsApp and SIP agents.
  • Teams can choose or route among providers.
  • Includes call transfer and human handoff.
  • Offers managed cloud and self-hosted deployment.
  • Free Launch plan includes one agent.

What to know first

  • Self-hosting requires Docker.
  • Voice Only self-hosting requires at least 4 GB RAM.
  • Scale costs $500 a month.
  • Scale includes up to 200 concurrent sessions.

Limits

Launch is free and includes one agent, bring-your-own STT, TTS, LLM, and SIP, and 10-day observability retention. Scale costs $500 a month and includes four agents, three collaboration workspaces, 100,000 audio session minutes, up to 200 concurrent sessions, and 30-day observability retention.

Plans

PlanBilled and limitsPrice
Launch1 agent · Bring your own STT, TTS, LLM, and SIP · 10-day observability retention · Community supportFree
Growper month · Unlimited agents · Up to 20 collaboration workspaces · 500,000 audio session minutes included · Up to 1,000 concurrent sessions · 90-day observability retention · Email and private Slack support$2,000 a month
Scaleper month · 4 agents · 3 collaboration workspaces · 100,000 audio session minutes included · Up to 200 concurrent sessions · 30-day observability retention · Email support$500 a month
EnterpriseCustom · Private or dedicated deployment · Custom agent, workspace, and concurrency limits · Custom observability retention · Custom local STT, TTS, and LLM support · Security review and deployment guidance · SLA and enterprise supportOn request

As rapida.ai lists them, read 30 Sept 2026. The maker's own page has the final word.

Getting started

  1. Open https://www.rapida.ai/.
  2. Choose managed cloud service or a self-hosted deployment.
  3. For self-hosting, prepare Docker and at least 4 GB RAM for Voice Only, or 8–16 GB RAM with the knowledge base.
  4. Start with Launch, or choose Scale at $500 a month.
  5. Connect the STT, TTS, LLM, or telephony providers your setup will use.

Rapida AI is an open-source platform for building and operating voice agents across phone, web, WhatsApp, and SIP. It is best suited to agencies and technical teams that need control over providers, deployment, and call operations. Its operational breadth is appealing, but a free Launch plan supports just one agent; Scale starts at $500 a month.

Overview

Rapida brings voice workflows, integrations, and operational monitoring into one platform. Teams can choose managed cloud to avoid running the deployment themselves, or self-host on infrastructure they or their clients control. The latter gives more direct control over audio and customer data, but requires Docker and at least 4 GB of RAM for Voice Only, rising to 8–16 GB with the knowledge base.

Key features

Teams can bring their own speech-to-text, text-to-speech, and language-model providers, or route among them without rewriting application logic. Voice activity detection, noise cancellation, knowledge retrieval, LLM routing, and live call transfer support both conversation handling and escalation to a person. Documented providers 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. Session traces, transcripts, call monitoring, handoff visibility, request and webhook logs, and debugging context give operators useful ways to inspect call behavior and investigate problems.

Agencies can launch client-branded assistants, isolate workspaces, and reuse rollout patterns. Rapida says self-hosting keeps audio, transcripts, and customer data on the user's infrastructure; its credential vault encrypts API keys and OAuth tokens at rest. Self-hosted deployments can run on HIPAA-compliant or GDPR-scoped infrastructure with customers' own BAAs and DPAs, alongside audit logs, configurable retention, and transcript-level PII redaction. These controls make self-hosting relevant for teams with specific data-governance needs, while leaving infrastructure and compliance responsibilities with the customer.

Pricing

The freemium structure makes it possible to start without a subscription, but the jump to paid service is substantial for a team that needs more than one agent. Paid plans are billed monthly, and their included audio minutes, concurrency, workspace counts, retention, and support levels distinguish them.

  • Launch — free: One agent, bring-your-own STT, TTS, LLM, and SIP, 10-day observability retention, and community support. It suits an individual or team evaluating a single-agent setup, but offers little room for a multi-agent rollout.
  • Scale — $500 a month: Four agents, three collaboration workspaces, 100,000 included audio session minutes, up to 200 concurrent sessions, 30-day observability retention, and email support. This is the entry paid tier for teams running several agents or needing meaningful concurrency.
  • Grow — $2,000 a month: Unlimited agents, up to 20 collaboration workspaces, 500,000 included audio session minutes, up to 1,000 concurrent sessions, 90-day retention, and email plus private Slack support. It is aimed at broader deployments where Scale's agent, workspace, or concurrency ceilings would constrain operations.
  • Enterprise — custom pricing: Private or dedicated deployment, custom agent, workspace, and concurrency limits, custom observability retention, support for custom local STT, TTS, and LLM, security review, deployment guidance, SLA, and enterprise support. It fits organizations with deployment or support requirements beyond the fixed tiers.

Platforms

Rapida supports API, Linux, macOS, self-hosted, web, and Windows. The platform supports inbound and outbound calls, human handoff, and custom phone numbers; Scale includes up to 200 concurrent sessions, while Grow raises that ceiling to 1,000.

Who it's for

Agencies can use client branding and workspace isolation to manage multiple customer deployments. Enterprise teams, contact center operators, CPaaS and CCaaS companies, and developers are also named audiences, particularly when provider flexibility, call monitoring, or infrastructure control matters. Teams seeking a small, low-cost multi-agent service should look elsewhere: Launch is capped at one agent, and the first paid tier costs $500 a month.

Pros and cons

  • Pro: Provider choice across telephony, speech, and LLM services lets teams route or replace components without rewriting application logic.
  • Pro: Call traces, transcripts, monitoring, logs, and handoff visibility provide operational context for running agents beyond a prototype.
  • Pro: Managed and self-hosted deployment options, plus customer-controlled infrastructure, suit teams with different operating and data-control needs.
  • Con: Launch is restricted to one agent, so even modest multi-agent use requires a paid plan.
  • Con: Scale begins at $500 a month; its 100,000-minute allowance and 200-session concurrency may be more capacity and cost than a small deployment needs.
  • Con: Self-hosting entails infrastructure work and minimum memory requirements, so it is not a hands-off option.

Alternatives

  • LiveKit Agents is worth considering when a smaller free starting allocation is enough: its Build plan includes 1,000 agent session minutes, five concurrent agent sessions, and one agent deployment.
  • Yellow.ai may fit teams seeking a free web or mobile option, with a Free plan that includes one AI agent, 500/month included, a two-agent limit, 1,000 records, and one active campaign.
  • Intervo is an alternative when an MIT-licensed self-hosted plan with full source-code access and community support is the priority.
  • Ring AI offers a free testing tier of 100 minutes per month and an enterprise option priced on request.
  • Tone is an alternative for teams looking for a self-hosted plan with unlimited agents, calls, and workflows, and bring-your-own LLM, voice, and telephony.
  • Vapi is another voice-agent platform to compare if usage-based billing and its included Vapi phone number are relevant.
  • Bland AI is another option for teams evaluating voice-agent platforms.
  • Cognigy is another option for teams evaluating conversational software.

Verdict

Rapida AI is a strong fit for agencies and technical organizations that need voice-agent provider choice, production call visibility, and a choice between managed and self-hosted deployment. Its strongest case is the combination of operational tooling and control over providers and infrastructure. Look elsewhere if you need multiple agents on a low-cost plan, or want to avoid the operational burden of self-hosting without paying for a managed tier.

Verdict

Rapida combines voice agent workflows, provider choice and operational visibility, with managed or self-hosted deployment. Its free Launch plan is limited to one agent; Scale starts at $500 a month.

Questions

Is Rapida AI free?

Yes. The Launch plan costs nothing and includes one agent.

How much do the paid plans cost?

Scale costs $500 a month and Grow costs $2,000 a month. Enterprise is custom priced.

Which platforms does Rapida AI support?

Listed platforms are API, Linux, macOS, self-hosted, web, and Windows.

Can Rapida AI be self-hosted?

Yes. It offers self-hosted deployment on infrastructure controlled by the team or its clients. The documented setup requires Docker and at least 4 GB RAM for Voice Only, or 8–16 GB RAM with the knowledge base.

Which integrations are listed?

Providers include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure, and AWS. It can also call HTTP endpoints and sync data from Notion, GitHub, HubSpot, and Jira.

What support comes with each plan?

Launch includes community support; Scale includes email support; Grow includes email and private Slack support. Enterprise includes SLA and enterprise support.

Facts from Rapida AI's own pages

Audience
The maker describes Rapida as serving agencies, enterprise teams, contact center operators, CPaaS and CCaaS companies, and developers. · rapida.ai, 30 Sept 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, 30 Sept 2026
Deployment
Rapida offers managed cloud service and self-hosted deployment on infrastructure controlled by the team or its clients. · doc.rapida.ai, 30 Sept 2026
Integrations
Documented providers include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure, and AWS. · doc.rapida.ai, 30 Sept 2026
Observability
Rapida provides session traces, live observability, transcripts, call monitoring, handoff visibility, request logs, webhook logs, and debugging context. · rapida.ai, 30 Sept 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, 30 Sept 2026
Provider choice
Teams can bring or route between their own STT, TTS, and LLM providers without rewriting application logic. · rapida.ai, 30 Sept 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, 30 Sept 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, 30 Sept 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, 30 Sept 2026
Voice features
The platform supports speech processing with VAD and noise cancellation, knowledge retrieval, LLM routing, and live call transfer. · doc.rapida.ai, 30 Sept 2026
White-label
Agencies can launch client-branded assistants, isolate workspaces, and reuse rollout patterns. · rapida.ai, 30 Sept 2026
Workflow connections
Rapida can call HTTP endpoints during conversations and sync data from Notion, GitHub, HubSpot, and Jira. · doc.rapida.ai, 30 Sept 2026

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