Powering intelligent robotics at the edge
Physical AI capabilities enabling autonomous machines.
Core Capabilities
By combining advanced sensing, ultra-efficient edge processing and multimodal AI models, modern robots can operate independently and intelligently in complex environments.
Always-On Sensing
Multi-modal signal capture of audio, motion, vibration and environmental data.
Ultra-low-power operation for continuous sensing.
Reliable performance in noisy, dynamic and unpredictable conditions.
Persistent event detection and anomaly identification.
Real-Time Edge Intelligence
Sensor fusion to build contextual understanding.
Real-time inference and event interpretation.
Context-aware decision-making.
Adaptive responses to changing environmental conditions.
Autonomous Interaction & Control
Voice recognition and natural language interaction.
Real-time human-machine collaboration.
Autonomous task execution and system orchestration.
Closed-loop control with continuous environmental feedback.
Feature Highlights
Always-On Operation
Continuous sensing and inference for uninterrupted monitoring.
Low-Latency Response
Immediate decision-making critical for real-world interaction.
On-Device Intelligence
Reduced reliance on cloud infrastructure for faster and more secure operation.
Scalable Architecture
Applicable across industrial, service and advanced robotics platforms.
Robust Performance
Reliable operation in noisy, dynamic, and unpredictable environments.
Use Cases
Industrial automation and predictive maintenance.
Autonomous mobile robots (AMRs) and logistics systems.
robotics.
Advanced and humanoid robotics platforms.