Leading AI (Artificial Intelligence) chipmaker Hailo on Tuesday announced it has raised $136 million in a Series C funding round led by Poalim Equity and Gil Agmon.
The round brings Hailo’s total funding to $224 million. In a world with skyrocketing demand for advanced, intelligent AI chips for countless industries, this funding will be used to address surging interest in the Hailo-8 AI Processor for Edge Devices, allowing the company to further develop its next-generation products and expand into both new and existing global markets.
With a unique, reimagined architecture based on the neural networks of the human brain, the Hailo-8™ delivers the same performance for smart devices as that provided by large data center computers, paving the way for a future of smarter edge products. Hailo’s chip enables enterprises to harness the power of AI at lower costs and higher efficiency. In light of ever-expanding demand, Hailo has been consistently expanding its product line, recently launching both its M.2 and Mini PCIe high-performance AI acceleration modules for empowering edge devices.
Hailo said that it has doubled its customer base to more than 100 clients over the last two fiscal quarters of 2021 as more enterprises seek out AI solutions that empower sensors and smart devices at lower costs, lower energy, and greater power. The company has expanded its presence globally over the last year, opening offices in Tokyo, Taipei, Munich, and Silicon Valley. In addition, Hailo recently announced a partnership with Macnica, a leading global semiconductor distributor in Japan.
Orr Danon, CEO and Co-Founder of Hailo
We are honored by this milestone round for an edge AI chip company and will use these significant resources to accelerate our aggressive plan to make advanced AI edge solutions more accessible to industries across the globe.
Former Intel executive Mooly Eden
Hailo’s innovative and hyper-efficient processor architecture addresses the growing demand for a new kind of chip to handle these new types of workloads, challenging traditional computing solutions.
