Hailo
Hailo enables AI inference on edge devices with minimal power consumption.
Hailo develops patented silicon AI accelerators that enable efficient deep learning inference on edge devices with minimal power consumption (<3W), eliminating cloud dependency while protecting privacy. The Hailo-8 and Hailo-10H chips integrate all required memory on the processor die, delivering 26+ TOPS of performance while maintaining exceptional power efficiency. Serving automotive, security, retail, industrial, and medical sectors, Hailo has secured over 300 customers including HP, Dell, BMW, Sony, and Bosch.
Problem solved
Deploying sophisticated AI models on edge devices requires excessive power consumption, cloud dependency, high latency, and privacy concerns.
Target customer
Automotive OEMs, security camera manufacturers, robotics companies, retail automation providers, and industrial equipment makers deploying real-time AI inference without cloud connectivity.
Founders
O
Orr Danon
CEO & Co-Founder
IDF technology unit veteran with decade+ experience on complex interdisciplinary projects, physics and mathematics degree from Hebrew University, M.Sc. in Electrical Engineering from Tel Aviv University, Israel Defense Prize recipient.
A
Avi Baum
CTO & Co-Founder
Former CTO of Texas Instruments's IoT division.
H
Hadar Zeitlin
Co-Founder
Extensive hardware and software development experience for AI systems, gained experience from IDF technology unit.
R
Rami Feig
Co-Founder
High-tech business development and operations expertise.
Funding history
Seed
$3.5M
June 2017
Led by Unknown
· Unknown
Series A
$12.5M
June 2018
Led by Unknown
· Unknown
Series A Extension
$8.5M
January 2019
Led by Unknown
· Unknown
Series B
$60M
March 2020
Led by Existing backers
· ABB Technology Ventures, NEC Corporation, Latitude Ventures
Series C
$136M
October 2021
Led by Poalim Equity, Gil Agmon
· Zohar Zisapel, ABB Technology Ventures, Latitude Ventures, OurCrowd
Series C Extension
$120M
April 2024
Led by Zisapel family, Gil Agmon, Delek Motors
· Alfred Akirov, DCLBA, Vasuki, OurCrowd, Talcar, Comasco, AEV, Poalim Equity
Total raised:
$340M
Industries
Pricing
Custom pricing based on product specifications, volume, and business requirements. Not publicly disclosed.
Notable customers
HP, Dell, BMW, Sony, Bosch, Husqvarna, Vicon, Raspberry Pi, Honda, Volvo, 300+ total customers across automotive, security, retail, industrial, medical, and defense sectors.
Integrations
Raspberry Pi, HP, Dell, BMW, Sony, Bosch, Husqvarna, Vicon, Honda, Volvo
Tech stack
jQuery (JavaScript libraries)
Swiper (JavaScript libraries)
Webpack
RSS
Open Graph
HTTP/3
DocuSign
WordPress (Blogs)
Cart Functionality (Ecommerce)
Linkedin Insight Tag (Analytics)
HubSpot Analytics (Analytics)
Google Analytics (Analytics)
HSTS (Security)
WP Rocket (Caching)
PHP (Programming languages)
Microsoft 365 (Email)
Cloudflare (CDN)
HubSpot (Marketing automation)
MySQL (Databases)
Google Tag Manager (Tag managers)
Salesforce (CRM)
Yoast SEO (SEO)
WP Engine (PaaS)
HubSpot Cookie Policy Banner (Cookie compliance)
WPML (WordPress plugins)
Priority Hints (Performance)
Website
Competitors
NVIDIA
NVIDIA dominates with 55-60% market share via CUDA lock-in across robotics and automotive, but Hailo offers cheaper, lighter alternatives with comparable performance at significantly lower power consumption.
Qualcomm
Qualcomm is a top-5 edge AI vendor with broader processor portfolio, but Hailo specializes specifically in efficient edge AI inference with integrated memory architecture.
Intel
Intel holds top-5 market share but competes primarily in broader compute markets; Hailo focuses exclusively on optimized edge AI inference.
Kneron
Direct competitor in edge AI accelerators; Hailo differentiates through superior power efficiency and on-die memory integration.
Axelera AI
Competes in edge AI hardware space but Hailo has broader customer adoption and more established partnerships with major OEMs.
Lightelligence
Edge AI hardware competitor with different architectural approach; Hailo's proven customer base and performance metrics provide market differentiation.
Why this matters: Hailo represents a meaningful counter to NVIDIA's dominance in edge AI, offering specialized silicon that delivers GPT-3.5-level performance at a fraction of the power and cost. With $340M in funding, 300+ customers including major automotive OEMs (BMW, Volvo) and camera manufacturers (Sony, Bosch), Hailo is establishing the infrastructure for privacy-preserving, real-time AI at the edge across automotive, robotics, and surveillance markets.
Best for: Automotive OEMs, camera manufacturers, and robotics companies needing real-time AI inference on edge devices with minimal power consumption and cloud-independent operation.
Use cases
Autonomous Vehicle ADAS
Vehicle perception systems running object detection and segmentation models locally using Hailo-8 accelerators, enabling real-time obstacle detection and lane keeping without cloud connectivity. BMW and Volvo integrate Hailo for advanced driver assistance systems.
Security Camera Analytics
IP cameras analyzing video streams for intrusion detection, person counting, and anomaly detection using Hailo processors. HP and Dell deploy Hailo-based systems for retail theft prevention and security surveillance.
Robotic Lawn Care
Autonomous robots like Husqvarna Automower running AI-powered obstacle avoidance and terrain classification directly on the device using Hailo-8, eliminating reliance on cloud connectivity and reducing latency.
Industrial Vision Inspection
Manufacturing quality assurance systems using Hailo accelerators for defect detection in real-time on factory floors without sending data to cloud servers, protecting proprietary manufacturing processes.
Generative AI on Edge
Hailo-10H enables LLM inference directly on edge devices with 40 TOPS INT4 performance, allowing devices to run AI models locally without cloud dependency while maintaining privacy.
Alternatives
NVIDIA Jetson
Market-leading edge AI platform with broader software ecosystem and GPU flexibility, but higher power consumption and cost than Hailo's specialized chips.
Qualcomm Snapdragon
Broader mobile processor line with integrated AI capabilities, but less specialized for pure inference workloads compared to Hailo's dedicated architecture.
Intel Movidius
Established edge AI accelerator with strong OEM relationships, but Hailo offers superior power efficiency and performance-per-watt metrics.
FAQ
What does Hailo do? +
Hailo develops silicon AI accelerator chips (Hailo-8, Hailo-10H) that enable efficient deep learning inference on edge devices with minimal power consumption. These processors integrate all required memory on-die, delivering 26+ TOPS of performance while consuming <3W, eliminating cloud dependency and protecting privacy for applications like autonomous vehicles, security cameras, and robotics.
How much does Hailo cost? +
Hailo uses custom pricing based on product specifications, order volume, and specific business needs. Pricing is not publicly available; interested customers must contact sales for quotes.
What are alternatives to Hailo? +
NVIDIA Jetson offers broader ecosystem but higher power consumption; Qualcomm Snapdragon provides mobile AI but less specialized for inference; Intel Movidius is established but less power-efficient. For pure edge AI inference efficiency, Hailo competitors include Kneron, Axelera AI, and Lightelligence.
Who uses Hailo? +
Hailo serves over 300 customers across automotive, security, retail, industrial, medical, and defense sectors. Notable customers include BMW, Sony, Bosch, HP, Dell, Husqvarna, Vicon, Raspberry Pi, Honda, and Volvo.
How does Hailo compare to NVIDIA? +
NVIDIA dominates edge AI with 55-60% market share via CUDA and Jetson platforms, offering broader ecosystem and flexibility. Hailo differentiates through superior power efficiency (26 TOPS @ 2.5-3W vs Jetson's higher consumption), lower cost, smaller form factor, and on-die integrated memory for simplified hardware design. NVIDIA excels in flexibility and software; Hailo excels in efficiency and optimization.
Tags
edge AI
AI accelerators
silicon
inference
low-power computing
autonomous vehicles
embedded systems
hardware acceleration
privacy-preserving AI
real-time inference