Menu

FOG COMPUTING FEATURE NEWS

Hailo Raises $12.5 Million to Develop Edge Processor for Embedded AI

By Ken Briodagh June 05, 2018

Hailo, a company developing a proprietary chip for deep learning on edge devices, today announced the completion of a $12.5 million Series A round. The company’s investors include Ourcrowd.com, Maniv Mobility, the Drive accelerator fund: Next Gear; as well as angel investors, Hailo Chairman Zohar Zisapel and Delek Motors CEO Gil Agmon. The company will use the funding to further develop its deep learning processor, which will deliver datacenter processing capacity to edge devices. This latest funding round brings the total raised to date by the Tel Aviv-based company to $16 million.

Hailo’s deep learning processor, whose initial samples are expected to enter the market in H1 2019, will be able to run embedded AI applications on edge devices that are installed in autonomous vehicles, drones, and smart home appliances such as personal assistants, smart cameras and smart TVs, alongside IoT, AR and VR platforms, wearables and security products. The Hailo processor radically reduces size, power and cost, making it suitable for local processing of high-resolution sensory data in real time.

“The 70-year old architecture of existing processors is inadequate to meet today’s deep learning and AI processing needs,” said Orr Danon, CEO, Hailo. “Hailo is revolutionizing the underlying architecture of the processor to boost deep learning processing by several orders of magnitude. We have completely redesigned the pillars of computer architecture – memory, control and compute – and the relations between them.”

The automotive industry, which is one of Hailo's key target markets, is undergoing a major disruption, rapidly adopting deep learning methods to enable advanced driver assistance systems (ADAS) and autonomous driving applications that require continuous sensing of surroundings. According to IC Insights, Integrated Circuits used in automobiles and other vehicles are expected to generate global sales of $42.9 billion in 2021, compared to $22.9 billion in 2016. Existing general-purpose processor infrastructure cannot efficiently run compute-intensive deep learning algorithms necessary for these applications.

 “In the last few years, we are witnessing a revolution in the automotive industry with the quick entry of new players and technologies into the market,” said Zohar Zisapel, Chairman, Hailo. “The product that Hailo is developing is expected to be a key component in this revolution in which artificial intelligence is one of the building blocks.”


Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

SHARE THIS ARTICLE
Related Articles

Data at the Edge of the IoT: Computing Fast Enough for Real Time Applications Ready Now

By: Cynthia S. Artin    10/16/2018

Tackling the edge of the Industrial IoT (IIoT) is a challenge being taken up by literally hundreds of IoT technology companies, platform providers, ec…

Read More

EdgeX Foundry Grows and Expands Developer Tools, Edging Toward an Open Marketplace for Edge Computing

By: Cynthia S. Artin    10/16/2018

Intel, along with Redis Labs, ZEDEDA, Windmill Enterprise, Basking Automation, Beijing University of Posts and Telecommunications, DATA AHEAD, CertusN…

Read More

FogHorn Unveils Lightning Edge Intelligence 2.0 to Support IIoT Deployments

By: Ken Briodagh    10/10/2018

FogHorn, a developer of edge intelligence software for industrial and commercial Internet of Things (IoT) solutions, recently announced the availabili…

Read More

SONM Powers Up Fog Platform as a Blockchain Marketplace for Computing Power

By: Ken Briodagh    10/9/2018

SONM announces the launch of its fog computing platform that allows users to rent or purchase computer power in its decentralized marketplace to solve…

Read More

Focus on IoT Edge Management Before You Move to Edge Processing

By: Special Guest    10/9/2018

The Internet of Things (IoT) has a new adage: "You need edge management before you can leap into edge processing."

Read More