Artificial Intelligence | Machine Learning Hailo | AI Processors for Edge Devices


Enterprise, Processor, Edge Devices, Embedded Devices, Semiconductor Development Tel Aviv , Israel

Hailo

Artificial Intelligence | Machine Learning


Hailo | AI Processors for Edge Devices

Hailo

Processor, Edge Devices, Embedded Devices, Semiconductor Development


Tel Aviv , Israel

Hailo is an Israel-based deep learning company that develops a breakthrough specialized deep learning microprocessor to deliver data center performance to edge devices. The company aims to drive artificial intelligence to the edge. Imagine intelligent devices that are empowered with the performance of a data center class computer, operating in real-time at reduced power consumption, size, and cost. Hailo processors enable edge devices to go beyond handling sensors and streaming volumes of data for remote processing–they can do the processing themselves. Hailo’s complete re-think of computer architecture breaks the barriers of traditional paradigms, accelerating the extremely heavy computation of deep neural networks.

The industry-leading Hailo-8 edge AI processor features up to 26 tera-operations per second (TOPS). One small, low-power, and self-contained chip can process high-resolution video in real-time or multiple video streams and neural network models simultaneously, all within a small power budget and rigid heat dissipation constraints. The Hailo-8 AI accelerator is commercially available. We offer a range of standard form-factor modules and an on-PCB design track, as well as a robust and mature software toolchain. Based in Tel-Aviv with offices in the US, Germany, Japan, and Taiwan, we are growing and expanding our worldwide partner ecosystem. Our novel, patented dataflow architecture is finding various applications across industries, including Automotive, Smart City, Industry 4.0, Smart Retail, and more. Hailo’s holistic solution redefines the traditional pillars of embedded computer architecture; memory, control, computing, and the relations between them. By designing an AI hardware architecture that relies purely on the core properties of neural networks, edge devices can now run deep learning applications at full scale more efficiently, effectively, and sustainably than traditional solutions.

 

B2B

51 to 100

Series C

$223.9M

Scaling Up

2017

 
 

Semiconductors
Computer Hardware

Fully Programmable AI Accelerator chip
Extracting Most Out of High End Sensors
Delivering Unprecedented AI Performance
Semiconductor Development

Increase Efficiency

 
 

Production
Service

Yes

Active

 
 

   Machine Learning


Semiconductor Development

Semiconductor Development


Text

Text

Structured

Structured

 

   Software & Hardware


C/C++

C/C++

Python

Python

Beanstalks

Beanstalks

AWS Redshift

AWS Redshift

.Net Core Stack

.Net Core Stack

.Net

.Net

Java

Java


Deep Learning Algorithm

Deep Learning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 

View All

System Validation Engineer

Tel Aviv, Tel Aviv

Software Tools Engineer- Student Position

Tel Aviv, Tel Aviv

Software Tools Engineer

Tel Aviv, Tel Aviv

Software Architect

Tel Aviv, Tel Aviv

Senior Automation Engineer

Tel Aviv, Tel Aviv

 

AI/ML Professionals

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5

1

$136M

Company was founded 2017 and it took almost 4 years (Oct 2021) to raise first external round

 
 

Date

Round

$ Raised

Investors

10/12/2021

Series C

$136M

Shlomo Group, Poalim Capital Markets, OurCrowd, ABB Technology Ventures (ATV), Automotive Equipment

Date : 10/12/2021

Round: Series C

$ Raised: $136M

Investors: Shlomo Group, Poalim Capital Markets, OurCrowd, ABB Technology Ventures (ATV), Automotive Equipment

 

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Orr Danon


Orr Danon
CEO

Hadar Zeitlin


Hadar Zeitlin
Chief Business Officer

Avi Baum


Avi Baum
CTO

 
 

Potential Customers

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