Hopper
Fast inference for voice
Hopper is an inference platform for speech models that trains speech-to-text, text-to-speech, and speech language models on a customer's production calls, then serves and improves them against live traffic. It addresses the latency and cost constraints of running voice workloads in production.
The platform supports STT, TTS, and LLM serving, with a listed time-to-first-token of 80 ms and per-token input pricing for its Gemma 4 31B model. It also provides an onboarding prompt for getting started.
Hopper is aimed at teams building voice agents and other real-time voice applications. The pages describe contacting an engineer to get started and do not specify a free plan, trial, or edition structure.
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