Pi-Autonomous
Robots and autonomous machines. VLM embedded directly on hardware, with or without connectivity.
Who is it for?
Inspection drones
Autonomous infrastructure inspection, in-flight anomaly detection, GPS-free navigation.
Material handling robots
AGVs and logistics robots with visual perception, navigation in dynamic environments.
Quality control
Defect detection on production lines, automatic marking reading.
Capabilities
VLM models optimized for real-time inference on constrained hardware.
Real-time inference
Sub-100ms latency for decision-making in real conditions. Live video processing.
Offline operation
No cloud dependency. The model runs locally, even without connectivity.
Compact models
Optimized for Jetson, Rockchip, or other edge hardware. From 500M to 2B parameters.
Multiplatform SDK
C++, Python, ROS2 integration. Compatible with standard robotics frameworks.
Supported hardware
NVIDIA Jetson
Orin, Xavier, Nano
Rockchip
RK3588, RK3568
Intel
Neural Compute Stick
Qualcomm
Snapdragon X Elite