Accurately interpreting emotions is crucial for demonstrating sensitivity and consideration towards individuals' emotional experiences.
Scientific legitimacy
Grounding in scientific research and validated methodologies ensure accuracy and reliability in interpreting emotions and provide a solid foundation for building scaleable applications.
Inclusivity
In the pursuit of equitable and unbiased recognition of emotions, we train on diverse proprietary datasets and cross validate inputs to minimise bias.
Transparency
Users have a clear understanding of how the Assistant operates, how data is collected, and how emotions are processed; fostering transparency in its capabilities and limitations.
Consent
Personal information is encrypted and inaccessible by default. Users have control over their data and must provide consent for its collection and usage.
