Smarter edge intelligence
Delivers real-time insights for smarter, connected experiences.
Ultra-efficient AI processing
Runs generative AI with minimal power consumption.
Human-centric innovation
Enhances daily life through intuitive, on-device intelligence.
Transformer-enabled ML on AI microcontrollers
Alif’s architecture combines high-performance CPUs, low-power design, and the Arm Ethos-U85 NPU to enable transformer-based AI on compact edge devices. These energy-efficient microcontrollers deliver exceptional performance for running real-time generative AI models locally, without relying on the cloud.
Alif also supports lightweight transformer ML models, including SLMs, for efficient natural language processing on-device.
This enables use cases like anomaly detection, health monitoring, and contextual adaptation. From smart assistants to predictive diagnostics and industrial automation, Alif is redefining edge intelligence.
AI-driven sensor fusion at ultra-low power
Engineered to efficiently process multimodal sensor data, from vision and audio to environmental signals, Alif’s platform delivers real-time insights under ultra-low power conditions. This design supports always-on applications such as wearable health monitors, human–machine interfaces, and context-aware smart devices. It enables rapid interaction and decision-making locally, preserving user privacy and reducing latency in mobile or distributed environments.
Discover the real-world impact of Edge AI
Explore in-depth use cases that show how edge AI is powering the next generation of IoT, solving real-world problems, driving faster decisions, and lowering costs through smarter operations right at the device level.