Granulate offers server-layer software—deployed in the cloud or on-premises—that uses AI to detect and prioritize important workloads to improve efficiency. Its technology can improve response times by up to 40%, increase throughput up to fivefold, and reduce costs by as much as 60%, according to the company. Granulate has partnerships with AWS and Microsoft Azure and is in early talks with Google Cloud Platform. Customers named in the article include AppsFlyer, Period and PicsArt, plus at least one unnamed major retailer. Over the past 10 months the company reported customer growth of 360% and revenue growth of 570%. Management says it plans to add more optimization and management solutions and build out a broader platform as competitors consolidate in the space. Granulate builds a software solution that optimizes infrastructure usage by applying machine-learning agents to virtual machines, containers, and Kubernetes pods. The product analyzes repetitiveness and optimizes decision-making for a customer-defined utility function, requiring no code changes. The company says its technology can cut infrastructure costs by 20%–80% and improves performance over time through ML-driven tuning. Granulate’s approach focuses on leveraging behaviors of the Linux kernel to prioritize throughput for production workloads. The startup was founded in 2018 and is based in Israel. It currently has 20 employees and plans to double headcount by the end of 2020.

Total raised

$42M

Funding rounds

2

Latest round

Series B

Latest activity

Feb 2021