Rapida is an open-source voice AI orchestration platform designed to help teams build, deploy, and operate production-grade voice assistants at scale. It provides a unified infrastructure layer that combines speech processing, large language model (LLM) routing, telephony, knowledge retrieval, and observability into a single system.

The platform addresses the complexity of building voice AI systems, where teams typically need to integrate multiple providers for speech-to-text (STT), text-to-speech (TTS), LLMs, telephony, and data retrieval. Rapida consolidates these components into a cohesive stack, allowing developers to focus on building conversational logic instead of managing infrastructure.

Rapida supports omnichannel deployment by default. A single assistant configuration can be deployed across phone systems (PSTN, SIP), web apps, embedded widgets, and messaging platforms like WhatsApp without duplicating logic. Changes to prompts, models, or knowledge bases propagate instantly across all channels.

A core strength of Rapida is its telephony-first architecture. It includes native support for SIP, WebRTC, and integrations with providers like Twilio, Vonage, Exotel, and Asterisk, enabling scalable inbound and outbound calling, call transfers, and campaign automation.

The platform is model-agnostic and provider-agnostic. Developers can route requests to different LLMs (such as OpenAI, Anthropic, Gemini, or custom models), mix speech providers, and swap components without changing application logic. It also includes knowledge retrieval systems that connect to documents and databases, enabling context-aware conversations.

Rapida is designed for both cloud and self-hosted deployments. Organizations can run it fully on their own infrastructure for data privacy, compliance, and control, making it suitable for regulated industries. Its architecture uses scalable microservices with observability features like logs, transcripts, latency metrics, and audit trails.

Overall, Rapida positions itself as a production-ready voice AI infrastructure layer that replaces fragmented integrations with a unified, extensible system.

Key features include:

• End-to-end voice AI stack (STT, TTS, LLM routing, telephony, retrieval)
• Omnichannel deployment across phone, web, and messaging platforms
• Native telephony support (SIP, WebRTC, Twilio, Asterisk, etc.)
• Model-agnostic LLM routing with support for multiple providers
• Knowledge retrieval with embeddings and semantic search
• Real-time observability with logs, transcripts, and metrics
• Self-hosted and cloud deployment options for data control
• Event-driven tools, connectors, and API integrations

Common use cases include:

• Building AI voice agents for customer support
• Automating call centers
• Deploying conversational assistants on phone and web
• Creating outbound calling campaigns
• Developing compliant voice AI systems in regulated industries

Rapida is developed by RapidaAI, a technology company focused on voice AI infrastructure, with an emphasis on open-source transparency, compliance, and production scalability.