Hopper is an inference platform built for voice applications. It trains speech-to-text, text-to-speech, and speech LLMs on production calls, then serves and improves them against live traffic.
Hopper: Fast Inference for Voice Hopper is an inference platform designed for voice applications. It trains speech-to-text (STT), text-to-speech (TTS), and speech large language models (LLMs) on production calls, then serves and improves them against live traffic. Key Features Voice Model Training and Serving: Trains STT, TTS, and speech LLMs on production calls and improves them using live traffic. High-Speed Inference: 80 ms time to first token (TTFT), compared to 600 ms for GPT-4.1. Cost-Effective Processing: $0.50 per 1 million input tokens, compared to $2 for GPT-4.1. Model Support: Runs the Gemma 4 31B LLM. Company Background Hopper is based in San Francisco, CA, and was founded by Pavan Katta and Jashwanth Pedapudi. The team is backed by Y Combinator and industry leaders from Turing, xAI, Stripe, and Rubrik.
Speech-to-Text
HQ COUNTRY
San Francisco, California, United States
FOUNDED
2026
Is this your company? To claim this listing or update its details, contact us at sunil@uniocommunity.com
