Real-Time Hyper-Modal AI for XR/VR/Robotics
Ultra-low latency models with spatial awareness for immersive experiences
Zen LM powers next-generation XR/VR applications and robotic systems with real-time multimodal understanding. From 3D scene generation to spatial audio, from gesture recognition to embodied navigation - our models deliver sub-10ms latency for seamless human-AI interaction in extended reality and physical environments.
Complete AI Stack for Immersive Computing
Core Language Models
6 models from 0.6B to 1T+ parameters for edge to cloud deployment. Optimized for real-time instruction following and reasoning in XR environments.
Multimodal Models
10 specialized models for vision, audio, video, 3D generation, and spatial understanding. Built for seamless integration with XR/VR platforms.
Specialized Systems
Agent frameworks, safety guardrails, embeddings, and IDE tools. Production-ready infrastructure for embodied AI and robotic applications.
High-Performance Infrastructure
Rust-based inference engine with GGUF quantization, training frameworks, and deployment tools for real-time performance.
Why Zen for XR/VR/Robotics?
Real-Time Performance
Sub-10ms latency with optimized quantization and edge deployment. Seamless integration with XR headsets and robotic control systems.
Spatial Awareness
Native 3D understanding, scene generation, and spatial audio processing. Built for immersive environments and physical world interaction.
Multimodal Fusion
Unified understanding across vision, language, audio, and 3D. Real-time gesture recognition, voice commands, and environmental awareness.
Open Source & Transparent
Fully open models, training code, and infrastructure. Complete control for customization, fine-tuning, and deployment on any platform.