Multimodal Intent Sense

Built for outcomes, not demos

Real-time behavioral-state inference that reads engagement, confusion, and frustration by fusing facial affect, vocal prosody, and speech content — all in the browser, with a trainable on-device classifier. A late-fusion layer weights each modality by its live reliability, and every output is treated as a probability, never a verdict.

Deployed on FEME's secure, cloud-native platform, it integrates with your existing systems, keeps humans in control of critical decisions, and scales from a single workflow to enterprise-wide operations.