Deploy voice AI on Rapida while keeping your custom or local TTS, STT, and LLM stack.Deploy voice AI on Rapida while keeping your custom or local TTS, STT, and LLM stack.Deploy voice AI on Rapida while keeping your custom or local TTS, STT, and LLM stack.
Rapida is now open-source including dashboard console access.

Own your voice AIScale without markup

Open-source voice AI for agencies and enterprise teams. Bring your own providers, keep your data, and deploy across phone, web, WhatsApp, and SIP.

Build your agentBook a demo

White-label workspaces

Launch client-ready assistants under your brand, with isolated workspaces, repeatable templates, and reseller-friendly delivery.

Access and approvals

Control operator access and review paths, with enterprise governance across every deployment.

Workflow actions

Connect CRMs, schedulers, and internal tools without rebuilding the orchestration layer.

Session traces

Review recording, LLM, conversation, request, and webhook logs from one session timeline.

Live observability

Monitor live calls, transcripts, and handoffs from one operational layer.

Provider routing

Switch STT, TTS, and LLM providers without changing application code.

APIs and SDKs

Instant ready-to-use language SDKs.

Start from proven rollout patterns

Start from repeatable rollout patterns for agencies and enterprise teams.

Deployment templates

Rapida React starter

Build a browser-based voice agent with rapida-react, TypeScript, and starter flows you can adapt quickly.

Integrate your agent in Python

Start from Python recipes for assistants, calls, and backend voice workflows built on Rapida.

Build with Node.js

Use Node.js starter recipes for voice agents, call flows, and server-side automation with Rapida.

Embed the web widget

Launch Rapida on the web with HTML widget examples for embedded voice and chat experiences.

Build backend services in Go

Use Go recipes for backend voice services, orchestration, and production deployment patterns.

Explore all Rapida starters

Browse the full recipe collection across React, Python, Node.js, widget, and Go rollout paths.

Operate assistants, clients, and deployments from one control surface

What rollout teams say

See why agencies and enterprise teams choose ownership, provider flexibility, and deployment control.

Talk to the Rapida team
@nerdburn twitter image

Agency founder

We sold our first white-label voice deployment without handing margin to another platform.

@patrickc twitter image

Solutions lead

Rapida gives us one operating layer for multiple client accounts instead of a different stack every time.

@Aliahsan_sfv twitter image

Voice AI operator

We moved from pilot calls to production rollout much faster because the deployment model matched our agency workflow.

@yatsiv_yuriy twitter image

Platform engineer

Provider flexibility mattered. We kept our own speech and telephony contracts and still shipped quickly.

@adeelibr twitter image

Enterprise architect

Enterprise review got easier once transcripts, handoffs, and provider behavior were visible in one place.

@TyronBache twitter image

Delivery manager

We started managed, then moved sensitive deployments into our own environment without changing the product model.

@MinimEditor twitter image

Agency partner

The white-label approach let us stay in front of the client while still standardizing delivery behind the scenes.

@orlandopedro_ twitter image

CTO

What stood out was ownership. We kept data paths, provider choice, and deployment control close to the team.

@sdusteric twitter image

Ops lead

Our operators had one place to inspect latency, transcripts, and transfer patterns across live assistants.

@SteinlageScott twitter image

Implementation team

Rapida feels built for real rollout teams, not just prompt demos.

@BowTiedQilin twitter image

Systems owner

We needed something our services team could resell and our enterprise buyers could still approve.

@adm_lawson twitter image

Enterprise IT

Hybrid deployment was the practical answer for us: fast pilots first, tighter control where needed.

@gokul_i twitter image

Growth agency

The platform made it much easier to templatize lead qualification and scheduling across accounts.

@dadooos_ twitter image

Support ops

We stopped stitching tools together. The operational layer is finally coherent.

@Rodrigo66799141 twitter image

Procurement lead

Being open source changed the conversation with enterprise procurement.

@xthemadgeniusx twitter image

Account director

We can reuse prompts, workflows, and integrations across clients without losing account separation.

@pontusab twitter image

Rev ops lead

Rapida gives us platform leverage without the markup tax.

@viratt_mankali twitter image

Product owner

This is the first voice AI stack that fits both agency delivery and enterprise governance.

Open source where ownership matters

Rapida is built in the open for teams that want ownership at the platform layer. Bring your own providers, self-host when needed, inspect the stack, and avoid platform markup sitting between you and production voice AI.

@rapidaai/voice-aiManaged or self-hosted