Best platforms for enterprise voice agents

Enterprise voice agents require robust platforms capable of handling high concurrent call volumes, accurately capturing specific entities like account numbers and prescription IDs, and meeting stringent compliance standards. While many platforms appear effective in demonstrations, the real challenge lies in maintaining performance under production conditions with thousands of simultaneous sessions. Key considerations for selecting a platform include speech accuracy, particularly in capturing entities, sub-second latency under load, effective turn detection, enforceable compliance, and scalability without concurrency restrictions. AssemblyAI's Voice Agent API is highlighted for its ability to integrate STT, LLM, and TTS through a single WebSocket connection, offering a flat-rate pricing model and high entity accuracy. Additionally, the platform offers flexibility with a standalone streaming option for teams looking to integrate their own LLM and TTS solutions while maintaining high transcription accuracy. Other platforms like OpenAI and Deepgram are also discussed, each with unique strengths and trade-offs, particularly regarding cost, accuracy, and scalability.

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