​
Raven: Perception Model

Raven-0 is the first contextual perception system that enables machines to see, reason, and understand like humans in real-time, interpreting emotions, body language, and environmental context to enhance conversation.

​
Key Features

Emotional Intelligence

Interprets emotion, intent, and expression with human-like nuance.

Ambient Awareness

Continuously detects presence and environmental changes that provide real-time context to the conversations.

Callout Key Events

Watches for specified gestures, objects, or behaviors and triggers functions.

Multi-channel Processing

Sees and processes screensharing and other visual inputs to ensure complete understanding.

​
Sparrow: Conversational Turn-Taking Model

Sparrow-0 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.

​
Phoenix: Replica Rendering Model

Phoenix-3 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.