Phoenix: Replica Rendering Model
Phoenix is built on a Gaussian diffusion model that generates lifelike digital replicas 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.