Jay

Programmable Voice AI for Developers: A Comprehensive Overview

Jay is an unopinionated and programmable platform designed specifically for building voice agents, providing developers with the tools and features necessary to create intelligent voice interfaces.

With Jay, developers can deploy their agent's logic as lightweight functions and easily integrate any third-party tool from model providers to RAG pipelines. The platform offers a robust serverless infrastructure that handles scalability and reliability, allowing developers to focus on enhancing their agent's capabilities while Jay delivers performance and stability.

One of the key features of Jay is its modular event handling system, which enables developers to track and respond to any event in the voice chat lifecycle. This includes events such as LLM responses, user interruptions, and more. The platform also supports popular speech-to-text, text-to-speech, and large language model providers including OpenAI Realtime API, ElevenLabs, Cartesia, Google, Azure, Deepgram, Meta, Anthropic.

Jay offers a range of benefits for developers, including:

  • Effortless Deployments: Deploy and update your agent as lightweight, serverless functions with zero-downtime upgrades and seamless handling of ongoing sessions.
  • Integrated Third-Party Tools: Integrate any third-party tool from model providers to vector databases and everything in between.
  • Modular Event Handling: Track and respond to any event in the voice chat lifecycle with ease.
  • Ultra-Low Latency: Achieve lightning-fast responses with ~300ms network average.

Jay's pricing is simple and transparent, with a free trial available for 14 days. The Pro Plan starts at $50/month with 1000 free minutes per month, while Enterprise plans are custom and as low as $0.001/minute.

Overall, Jay is an ideal platform for developers looking to build voice agents that can interact with users in real-time. With its comprehensive features, robust infrastructure, and flexible pricing, Jay provides everything needed to create intelligent voice interfaces without the hassle of server management.