APIs, ML models, and globally diverse data to align science and technology with human well-being
Multimodal
Hundreds of thousands of short emotional conversations between friends or strangers, with detailed self-report ratings of expression
Empirical Evidence
Our platform is developed in tandem with scientific innovations that reveal how people experience and express over 30 distinct emotions
No one can read minds, so we start by using statistics to ask what expressions mean to the people making them
Our data-driven science represents real emotional behavior with 3x more precision than traditional approaches
We use scientific control and globally diverse data to remove biases that are entrenched in most AI models
Our Values
Supported Uses
Expressive understanding and communication is critical to the future of voice assistants, health tech, social networks, and much more
Voice assistants: understand expressive queries, engage conversationally, and learn from expressive feedback
Social networks: moderate content with multimodal toxicity detection and well-being impact measures
Health tech: improve the screening, diagnosis, and treatment of mood, mental health, and pain
Accessibility: restore emotional intonation to speech aids, transcribe emotional signals, and guide empathic behavior
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