Real-time computing workload optimization startup Granulate Cloud Solutions Ltd. said today it has closed a $30 million round of funding that brings its total amount raised to $45 million to date.

Red Dot Capital Partners led the Series B round, together with existing investors Insight Partners, TLV Partners, and Hetz Ventures, plus new investor Dawn Capital.

Granulate has created artificial intelligence-powered software agents that can be used by companies to optimize the performance of their information technology infrastructure so they get the best performance out of each server and central processing unit. Its agents help to deliver more sustainable performance and scale for customers, Granulate says.

Co-founder and Chief Executive Asaf Ezra says that when a company needs more computing resources, it had just two choices: Invest more, or find a way to get by with less. But he said that’s no longer the case.

“Granulate lets companies do both: achieve much more with what they already have while paying less, gaining higher efficiency and margins,” Ezra said.

Granulate’s software agents get to work by studying each application’s specific resource usage patters and data flows so as to identify any contended resources and bottlenecks and find any opportunities to prioritize those resources. That allows them to make better operating system level prioritization and scheduling decisions, taken into account factors such as central processing unit resources, cache and network access, to make each application run more efficiently on its underlying infrastructure.

The company said that enables users to reduce cluster sizes to achieve substantial performance gains and cost benefits. The company claims it can boost server performance with a 40% time response reduction and reduce computing costs by as much as 60%, so a typical server can handle additional workloads with five times greater throughput. Not least, Granulate’s software agents can work with any kind of computing infrastructure, including on-premises Linux servers and public clouds such as Amazon Web Services and Microsoft Azure.

Granulate raised $12 million in a Series A round of funding in April and only debuted its offering in September, but since then it has seen its revenue grow by 570% of an undisclosed base and its customer base rise by 360%. It now manages more than 300,000 processor cores across all of its customers and has helped to save them a combined 3 bullion hours of core usage, it claims. The company has also helped its customers save energy, leading to more than 15 million pounds of carbon emissions saved since its launch.

“It’s hard to think of a company that won’t benefit from Granulate’s offering since it’s showing such significant performance and cost improvements across both sophisticated data and transactional workloads,” said Insight Partner Managing Director Lonne Jaffe.

Ezra told SiliconANGLE that the company’s software agents can work with very specific data center workloads, such as Kubernetes and big data tools, including Apache Spark and Hadoop, and that the company is now looking to expand to additional ones.

“We will use the funding to improve our core product, which will lead to performance and cost value advancements for specific use cases like ElasticSearch, machine learning and stream processing workloads,” Ezra said.

In addition, Ezra said Granulate is looking to expand its presence in the U.S., Europe and Asia.

Image: Granulate