Sosivio offers a container monitoring and observability platform that provides visibility across cloud-native stacks, performs app profiling, and predicts failures using an AI engine that correlates data and detects malfunction sequences. The solution runs as a set of microservices without permanent installation and can operate agentlessly without data off-loading, enabling use in regulated environments. The product provides proactive failure prediction, automated resolution, and contextual analysis of signals while facilitating process monitoring on every server. The company has been working with about 10 customers and has a 21-person team; its design partners are already using the platform in production. Sosivio is preparing for a formal product launch in the coming weeks, and the funding will be used to support those launches and scale the business over the next few years. Cofounder and CTO Liran Cohen brings prior experience as the lead Kubernetes architect for Red Hat Europe, which informed the company’s approach to cloud-scale failure prediction.

Total raised

$4M

Funding rounds

1

Latest round

Seed

Latest activity

May 2021