Phoenix: Face Rendering Model
Phoenix is built on a Gaussian diffusion model that generates lifelike digital faces with natural facial movements, micro-expressions, and real-time emotional responses.Key Features
Full-Face Animation
Dynamically generates full-face expressions, micro-movements, and emotional shifts in real time.
True Realism
Achieves the highest fidelity by rendering with pristine identity preservation.
Driven Emotion
Adjusts expressions based on context, tone, and conversational cues.
Raven: Perception Model
Raven is the first contextual perception system that enables machines to see, hear, reason, and understand like humans in real-time, interpreting emotions, speaking tone, body language, and environmental context to enhance conversation.Key Features
Emotional Intelligence
Interprets emotion, intent, and expression from both visual cues and vocal tone - detecting sarcasm, frustration, excitement, and more.
Ambient Awareness
Continuously analyzes visual and audio streams to detect presence, environmental changes, and user state in real-time.
Callout Key Events
Monitors for specified gestures, objects, behaviors, or audio cues (like tone shifts) and triggers functions automatically.
Multi-channel Processing
Processes screensharing, camera feeds, and user audio to ensure complete contextual understanding.
Sparrow: Conversational Turn-Taking Model
Sparrow is a transformer-based model built for dynamic, natural conversations, understanding tone, rhythm, and subtle cues to adapt in real time with human-like fluidity.Key Features
Conversational Awareness
Understands meaning, tone, and timing to respond naturally like a human.
Turn Sensitivity
Understands human speech rhythm, capturing cues and pauses for natural interactions.
Heuristics & ML
Adapts to speaking styles and conversation patterns using heuristics and machine learning.
Optimized Latency
Delivers ultra-fast response times for seamless real-time conversation.