Kairos
Enterprise-grade face recognition and human analytics for identity-first applications.
The leading Emotion AI engine for real-time facial expression analysis and interactive video personalization.
MorphCast is a sophisticated AI platform specializing in Affective Computing and real-time facial expression recognition. Its technical architecture is built around the MorphCast SDK, a high-performance JavaScript engine that performs inference directly in the user's browser (edge computing). By 2026, MorphCast has solidified its position in the market by prioritizing privacy-by-design; because video processing occurs on the client-side, sensitive biometric data never reaches the cloud, ensuring inherent compliance with global regulations like GDPR and CCPA. The platform provides granular emotional metadata, including valence, arousal, and discrete emotions (happiness, sadness, anger, etc.), along with attention and engagement scores. This data allows developers and marketers to create hyper-personalized video experiences that branch or react dynamically based on the viewer's emotional state. Beyond video, the platform offers an 'Emotion AI Dashboard' for aggregate audience analytics, making it a critical tool for market research, digital health, and adaptive learning environments where understanding the human-digital interface is paramount.
Executes deep learning models locally in the browser via WebAssembly and TensorFlow.js.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Engine that triggers video path changes based on real-time emotional vectors.
Measures head pose, eye gaze, and blink rates to determine user presence and fatigue.
Provides a 2D emotional map beyond simple categorical emotions.
Simultaneously tracks and analyzes multiple faces within a single camera frame.
A visual editor for building interactive, emotional videos without writing code.
By architecture, the platform avoids storing video frames on any server.
Students getting bored or frustrated without the instructor noticing in a digital environment.
Registry Updated:2/7/2026
Low conversion rates in static video advertisements.
Difficulty in objectively measuring patient response to psychological stimuli.