Accelerates neural networks and computer vision tasks using custom FPGA IP, enabling high-performance AI on low-power edge devices.
Dedicated hardware blocks for ORB-SLAM and 3D perception, boosting mapping speed and improving localization accuracy in autonomous systems.
Custom hardware blocks for spatial AI and vision workloads such as ORB-SLAM, feature extraction, optical flow, and depth perception
We design tailored FPGA/SoC architectures and pipeline-optimized dataflows to meet specific performance, latency, and power targets
Built for low-power, real-time processing in constrained, mission-critical systems
Seamlessly integrates into embedded SoCs, drones, autonomous robots, and edge AI platforms