Edge AI Embedded Systems
Architecture-driven integration of AI workloads into embedded platforms, delivering deterministic performance, security, and scalable deployment.
Key Capabilities
01AI model deployment on embedded SoCs
02Hardware acceleration (NPU / GPU / DSP) integration
03Real-time inference optimization
04Memory and power footprint tuning
05Secure AI runtime integration
06Edge-to-cloud data orchestration