Voice
Simulated phone calls, customer conversations, and speech-native tasks where voice agents are trained and evaluated on realism, latency, and task completion. As voice agents go to production, labs need adversarial simulated callers to break them before customers do.
1 startup
| Name | Domains | Location | Team | Funding | Raising |
|---|---|---|---|---|---|
| Besimple AI Human-in-the-loop annotation and evals, with a voice data focus | Data Labeling, Voice, RLHF | San Francisco | 1-10 | ~$3.5M total | - |