The infrastructure for improving voice AI

Build voice AI that people trust

Find where your model or agent breaks with real people, fix it, and prove the change worked, grounded in a decade of emotion science and real human judgment.

years of emotion science

10+

speech samples

100M+

human judgments

1M+

languages covered

50+

How teams work with Hume

• Evaluate. Custom evals and stress tests that show where your model or agent falls short, and whether a fix helped.

• Test with real people. Real users talk to your endpoint; vetted raters score naturalness, tone and preference.

• Train. Speech data in 50+ languages for pre-training, SFT and RL, off the shelf or collected to your spec.

• Understand. 600+ expression dimensions from voice and video, so agents can adapt mid-conversation.