Agent infrastructure

Cloud platform for deploying and observing voice, video and physical AI agents, built on an open-source agents framework.

Voice AI agents for regulated, high-stakes phone calls, run end to end on Bland's own speech, language and voice models.

One real-time API for voice agents combining speech-to-text, LLM orchestration and text-to-speech, priced at $4.50/hr.

Global WebRTC infrastructure and SDKs for realtime voice and video, from the team behind Pipecat.

Voice AI agents on Telnyx carrier infrastructure, with telephony, speech, LLM inference and orchestration on one platform.

Developer platform for building voice AI agents that make and receive phone calls.

Hosted platform for deploying and scaling Pipecat voice and multimodal agents, with autoscaling and observability.

Voice AI agents for enterprise phone calls, with in-house telephony and a Build, Evaluate, Launch, Learn workflow.

Conversational AI engine that lets any LLM listen and reply in real time, with ASR and TTS selection, interruption handling and noise suppression.

Speech-to-text, text-to-speech and managed voice agents in one API for live conversation.

Platform to build, test, deploy and monitor AI voice and chat agents, with telephony, prompts, tools and analytics.

Build, test and deploy voice, chat and email AI agents for websites, apps and call centers, in 90+ languages.

Voice AI for customer calls, with Twilio handling speech-to-text and text-to-speech over a WebSocket API and your choice of LLM.

Multimodal LLM that takes speech input directly, without a separate speech recognition stage, for real-time voice agents.

Speech-to-speech voice agent API where the model works on audio directly, with tool calls, over WebRTC or WebSocket.