What it sells
Fast inference for voice
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering leads at companies running voice agents at scale.
Trigger: what makes them buy now?
Latency and cost of GPT-class models for voice; site cites 80 ms TTFT vs 600 ms for GPT-4.1.
Workflow: what inputs become what output?
Hopper trains STT, TTS and speech LLMs on a customer production calls, serves them, and improves them against live traffic.
Economics: what it saves and how it charges
Usage-based inference; site cites $0.40 per 1M input tokens vs $2 for GPT-4.1.
Distribution: how it reaches customers
Sales/engineer-led (Talk to an Engineer), console signup, technical blog.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.