Hailo AI is a Tel Aviv-based AI chipmaker focused on building high-performance, energy-efficient AI processors optimized for edge computing. Their flagship product, the Hailo-8™ AI processor, delivers data center-class performance on small, power-efficient chips, enabling AI applications directly on edge devices without relying on cloud infrastructure.
Hailo’s solutions empower industries such as automotive, smart cities, retail, and industrial automation to run advanced neural networks locally—for tasks like object detection, video analytics, and real-time decision-making. With minimal power draw and compact integration, Hailo chips support edge AI use cases that require speed, privacy, and responsiveness.
Features
Hailo-8™ AI Processor
Delivers up to 26 tera-operations per second (TOPS) with ultra-low power consumption (<2.5W), optimized for edge workloads.
AI Software Suite (Hailo Dataflow Compiler)
Maps standard neural networks from frameworks like TensorFlow or PyTorch onto Hailo’s proprietary architecture for optimal performance.
Plug-and-Play Edge Modules
Compact modules like Hailo-8 M.2 and Mini PCIe make integration into existing systems straightforward for embedded AI developers.
Native Support for Key AI Tasks
Efficient acceleration for computer vision tasks including detection, segmentation, classification, and tracking.
Edge-First Architecture
Purpose-built for edge deployment—no cloud connectivity required, preserving latency and privacy.
Scalable Integration Options
Available as chips, modules, or ready-to-deploy solutions compatible with leading processors (e.g., NVIDIA Jetson, NXP, Qualcomm).
Partner Ecosystem
Collaborations with companies like Foxconn, NEC, and Lanner for integration in real-world solutions.
How It Works
Choose the Right Hardware
Select from standalone AI chips or ready-made Hailo-8 M.2/Mini PCIe modules for your device or system.Build and Train Models
Use popular ML frameworks like TensorFlow or PyTorch to develop your AI models.Compile with Hailo Software Suite
Convert and optimize trained models using the Hailo Dataflow Compiler, ensuring they run efficiently on Hailo hardware.Deploy at the Edge
Install Hailo-enabled modules on cameras, robots, vehicles, or industrial equipment to process AI tasks locally.Monitor and Maintain
Use Hailo’s tools and APIs to manage performance, upgrade firmware, and support long-term deployments.
Use Cases
Automotive (ADAS & Autonomous Vehicles)
Run object recognition, lane detection, and pedestrian tracking in real-time using in-vehicle embedded processors.
Smart Retail & Surveillance
Deploy edge AI in cameras for customer analytics, people counting, shelf inventory, or intrusion detection.
Industrial Automation
Use Hailo AI to analyze defects, track assembly lines, and optimize equipment uptime directly at the edge.
Smart Cities
Enable real-time traffic management, facial recognition, and crowd analytics through embedded, power-efficient cameras.
Healthcare Devices
Enhance portable medical equipment with real-time diagnostic and monitoring capabilities powered by edge AI.
Pricing
Hailo AI operates on a B2B pricing model based on hardware volume, application type, and deployment scale. While public pricing is not listed on the website, general information includes:
Hailo-8 M.2 Module: Starts around $60–$80 per unit (as listed on third-party reseller sites)
Hailo-8 Mini PCIe: Custom pricing based on volume
Enterprise Integration: Custom quotes for bulk orders, embedded solutions, and long-term support
For official pricing, enterprise developers are encouraged to contact Hailo’s sales team via hailo.ai/contact.
Strengths
Exceptional Edge AI Performance: Delivers high-speed processing for AI tasks without cloud dependence.
Low Power Consumption: Ideal for embedded systems that require energy efficiency.
Broad Industry Adoption: Proven in automotive, surveillance, and industrial sectors.
Developer-Friendly: Provides tools to easily convert and optimize standard ML models.
Secure and Private: Keeps data local to the device, reducing privacy risks.
Drawbacks
Hardware-Dependent: Requires physical integration of Hailo modules or chips.
Limited to Inference Only: Optimized for model deployment, not for training or general-purpose compute.
Primarily B2B: Not designed for individual developers or small-scale use without hardware expertise.
Learning Curve for Hardware Setup: Requires familiarity with embedded systems and AI model optimization.
Comparison with Other Tools
Hailo AI vs. NVIDIA Jetson
NVIDIA Jetson is a broader platform with GPU acceleration. Hailo offers dedicated AI inference chips that outperform Jetson Nano in power efficiency and edge performance.
Hailo AI vs. Intel Movidius
Intel’s Movidius also targets edge AI. Hailo typically offers higher performance-per-watt and better scalability for industrial and automotive settings.
Hailo AI vs. Coral Edge TPU (Google)
Coral TPU is cost-effective for small projects. Hailo is better suited for commercial-grade, high-throughput AI tasks.
Customer Reviews and Testimonials
“We integrated Hailo-8 into our smart cameras and saw a 300% performance improvement with 75% less power.”
– Lead Engineer, Global Surveillance Firm
“Hailo helped us meet real-time processing requirements for ADAS without needing high-power GPUs.”
– Product Manager, Automotive OEM
“Their M.2 module made deployment easy. We went from prototype to production-ready in under 3 months.”
– CTO, Industrial IoT Startup
Conclusion
Hailo AI stands out as a pioneer in efficient, high-performance AI processing at the edge. Its hardware and software ecosystem offers everything needed to run complex AI models in real-time on embedded systems, while reducing power, latency, and dependence on the cloud.
If you’re building smart edge devices—whether in cars, cameras, or factories—Hailo AI is one of the most compelling AI hardware solutions available today.
