
Tel Aviv, Israel
2017
Semiconductors, Automotive, Security & Surveillance, Industrial Automation, Manufacturing, Smart Cities, Retail, Agriculture, Medical Devices, Consumer Electronics
Hailo is an AI semiconductor company developing specialized processors and accelerators for edge AI. Its hardware is designed to execute neural networks directly on devices rather than relying primarily on cloud-based processing. Hailo’s portfolio includes AI accelerators and AI vision processors for applications involving computer vision, video analytics, generative AI, automotive systems, industrial equipment, smart cameras, and embedded computing. The company operates at the intersection of AI hardware, edge computing, and machine learning inference.
Hailo develops processors, accelerator modules, vision processors, and supporting software that allow manufacturers and developers to run AI workloads locally on edge devices. Its processors handle neural-network inference for tasks including object detection, video analysis, image processing, and generative AI.
The technology can be integrated into cameras, computers, vehicles, industrial systems, robotics platforms, and other embedded devices. By performing computation locally, Hailo’s processors can provide low-latency AI inference while reducing the need to transmit data to remote cloud infrastructure. Hailo also provides software for compiling, optimizing, deploying, and running trained neural-network models on its hardware.
Hailo’s technology centers on a proprietary structure-defined dataflow architecture designed around the computational characteristics of neural networks. Rather than using a conventional general-purpose processor for AI workloads, its architecture distributes neural-network operations across specialized computing resources to support high-performance inference with relatively low power consumption.
The Hailo-8 processor provides 26 TOPS of AI processing performance for computer vision and other neural-network workloads. The Hailo-8L offers up to 13 TOPS for smaller embedded systems, while the Hailo-10H supports vision and generative AI workloads with up to 40 TOPS using INT4 operations.
Hailo also develops AI vision processors that combine neural-network processing with image signal processing, video encoding, and embedded computing capabilities. Its software ecosystem includes the Hailo Dataflow Compiler, HailoRT runtime, and Hailo Model Zoo, which support model optimization, deployment, and inference on Hailo hardware.
Hailo contributes to the growing adoption of edge artificial intelligence, enabling AI models to operate directly on physical devices rather than depending entirely on centralized cloud infrastructure. Applications such as smart cameras, autonomous systems, industrial equipment, and vehicles often require rapid responses without continuously transmitting large amounts of data to remote servers.
By developing dedicated AI processors for these environments, Hailo addresses important edge-computing requirements including low latency, power efficiency, connectivity, and data privacy. Its processors allow manufacturers to integrate AI capabilities into devices with limited space, energy, and computing resources.
Hailo’s expansion from computer-vision acceleration into generative AI processing on edge devices also reflects a broader technology shift toward running increasingly capable AI models outside traditional data centers.
The Hailo-8 is an edge AI processor delivering 26 TOPS of neural-network processing performance. It supports computer vision, object detection, video analytics, and other AI inference workloads in embedded systems. The processor is available as a chip and through acceleration modules that integrate with existing computing platforms.
The Hailo-8L is an entry-level AI accelerator delivering up to 13 TOPS. It is designed for compact, power-efficient embedded devices that require local neural-network inference, including smart cameras and industrial computing systems.
The Hailo-10H is designed for computer vision and generative AI workloads at the edge. It delivers up to 40 TOPS using INT4 operations and supports local execution of compatible generative AI models. The processor is also available in M.2 acceleration modules for integration into existing devices.
The Hailo-15 family includes AI vision processors for intelligent cameras and embedded vision systems. The Hailo-15H delivers up to 20 TOPS and combines neural-network inference with image signal processing, video encoding, and camera-specific computing functions. The Hailo-15L provides a lower-cost option for high-volume camera applications.
The Hailo-8 Century is a PCIe acceleration card that combines multiple Hailo-8 processors to provide up to 208 TOPS of AI performance. It is designed for applications requiring higher inference capacity, including multi-camera video analytics and industrial edge computing.
Hailo processors support edge AI inference across multiple industries, allowing devices to process visual information, recognize objects, and execute machine learning models locally.
Automotive: AI processing for advanced driver-assistance systems, object detection, environmental perception, and intelligent vehicle applications.
Security and Surveillance: Computer vision and real-time video analytics for smart cameras, object recognition, event detection, and automated monitoring systems.
Industrial Automation: Machine vision, automated quality inspection, equipment monitoring, and AI-enabled manufacturing systems.
Robotics: Neural-network processing for visual perception, object recognition, navigation, and robotic automation.
Retail: Video analytics for customer traffic analysis, inventory monitoring, and intelligent retail applications.
Consumer Electronics: Local AI processing for embedded computers, smart devices, and applications requiring energy-efficient neural-network inference.
Generative AI: On-device execution of compatible generative AI models, reducing reliance on remote cloud infrastructure for supported workloads.
Hailo is an AI semiconductor company that develops specialized processors and accelerators for running artificial intelligence directly on edge devices.
Hailo technology enables devices to perform neural-network inference locally for applications such as computer vision, object detection, video analytics, and generative AI.
The Hailo-8 delivers 26 TOPS and focuses primarily on edge AI inference, including computer vision. The Hailo-10H supports computer vision and generative AI workloads, delivering up to 40 TOPS using INT4 operations.
Yes. Hailo processors are designed to execute supported AI models directly on local hardware, allowing inference to operate without continuous cloud connectivity.
Yes. The Hailo-10H accelerator supports generative AI workloads, enabling compatible models to run locally on edge devices.
The Hailo Dataflow Compiler is a software tool that optimizes and translates trained neural-network models for deployment on Hailo processors.
Hailo processors support applications in automotive technology, security, industrial automation, robotics, retail, and consumer electronics.
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