Interhuman AI delivers the underlying technology for social intelligence, empowering AI systems to understand and respond to human behavior instantly. It provides both an API and a social intelligence model named Inter-1.
This technology is suited for various applications such as sales training, AI-driven education, user research, meeting assistants, AI-enhanced interviews, communication skills development, virtual assistant capabilities, and healthcare assistance.
Inter-1 represents an omni-modal model engineered to identify social signals from various sources, including video, audio, and text. It has the ability to analyze a single video stream, offering insights into vocal cues, facial expressions, and non-verbal body language. In this way, it captures not just the words being spoken, but also the manner in which they are conveyed.
The model can pinpoint a set of 12 distinct social signals, including states like bewilderment, doubt, and disbelief, across different input methods. Each identified signal includes a rationale based on specific evidence, along with a confidence score that allows applications to produce informed responses.
It offers organized feedback on an individual's communication style, supported by observational data instead of personal views. Interhuman AI's technology is based on established principles from behavioral science, and its comprehension of social signals has been validated in collaboration with psychology experts.
Developers can leverage Interhuman's API to equip their AI products with a refined understanding of social cues, expanding their utility in diverse environments, including educational settings, customer support services, and healthcare applications.
Detect social signals from video
Instant social understanding
Behavioral science based discovery
Requires video input
No text-only feature
Identifies only 12 signals

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