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Scale Computing pulls in $34.8 mln Series F

Indianapolis-based Scale Computing, a hyperconverged and edge computing provider, has raised $34.8 million in Series F funding. The lead investor was Lenovo.


INDIANAPOLIS, Oct. 25, 2018 – Scale Computing, a market leader in edge computing and hyperconverged solutions, today announced $34.8 million in Series F funding. The largest investor in the round is Lenovo, which last week announced a global partnership with Scale to bring intelligent edge computing to global retailers, distributed enterprises, and SMBs. New and existing financial investors also participated in the round.

Scale’s patented HyperCore™ technology identifies, mitigates, and corrects infrastructure problems in both hardware and software in real time, using machine intelligence and automation to keep applications running without human intervention. This capability is especially critical in distributed enterprise edge computing, retail, and SMB deployments, where onsite IT staff may be very limited or non-existent. As such, Scale’s HC3 Edge platform has emerged as the leading platform for running mission critical applications in these environments.

“We have experienced tremendous growth over the past two years, driven by our unique capability to completely automate the administration of a fully converged platform,” said Jeff Ready, CEO of Scale Computing. “This round of funding, combined with our new partnership with Lenovo enables us to instantly reach customers at a global scale.”
Recently announced customer wins include Ahold Delhaize, a global supermarket retailer with nearly 7,000 stores; Genting Group, the third largest casino company in the world; Jerry’s Enterprises, a large North American food retailer, and Farm Bureau Insurance.

“What makes Scale unique is that it really is a set-it-and-forget-it platform. It just takes care of itself,” said Jeff Miller, IT Director for Jerry’s Enterprises, a Scale customer operating 50 retail stores across the United States. “When we deploy Scale, not only do we eliminate the need for VMware, backup software, and DR software at that location, but we also eliminate 90 percent of the time previously spent managing infrastructure. Scale gives us a platform that can be used in all of our locations, whether it’s a very small deployment at a gas station, servers at a big box store, or a large cluster in our datacenter.”

Fueled by the growth of both edge computing and the desire to bring automation to IT systems, Scale’s revenue has more than doubled over the past two years, with sales in the retail sector specifically up 4x, closely followed by other distributed enterprises. “Scale is a company which has exceeded its plans for more than two years,” said Don Aquilano of Allos Ventures, who led Scale’s Series A and also participated in this investment round. “We are absolutely thrilled with the company’s performance and market leadership as edge computing moves to the forefront of IT. No company is better positioned to take advantage of this global trend. Scale is a true success story with much more to come.”

Note to editors: To accommodate all investors in the round, Scale Computing’s funding has multiple closings, including $21.2 million in a first close. The remainder of the oversubscribed round will close by end of 2018, taking the total to $34.8 million.

About Scale Computing
Scale Computing is a leader in edge computing and hyperconverged solutions for customers around the globe. Scale Computing’s HC3 software eliminates traditional virtualization software, disaster recovery software, servers, and shared storage, replacing these with a fully integrated, highly available system for running applications. Using patented HyperCore™ technology, the HC3 self-healing platform automatically identifies, mitigates, and corrects problems in the infrastructure in real-time, enabling applications to achieve maximum uptime even when local IT resources and staff are scarce, making it the ideal application platform for distributed enterprises, global retailers, and SMBs alike. More at