Israeli startup DataAgent emerges from stealth with $10 million funding
Israeli startup DataAgent has emerged from stealth mode with $10 million in funding. The company's platform acts as an autonomous SRE, automatically resolving system failures within Kubernetes environments.
Development and DevOps teams are well acquainted with the following scenario: a system crashes, the monitoring system triggers dozens of alerts, and employees are forced to drop everything to investigate and fix the problem. Simultaneously, the organization sends all logs to external cloud providers just to understand what went wrong, incurring significant costs. The Israeli startup DataAgent aims to change this by enabling the system to fix problems itself rather than just alerting about them.
Today, Tuesday, DataAgent announced its emergence from stealth mode and a $10 million pre-seed round led by MizMaa Ventures and Alicorn. The company is led by CEO Ishai Yaari and CTO Nati Shalom, who previously worked together at Cloudify until its acquisition by Dell.
The platform functions as an autonomous SRE (site reliability engineer) within Kubernetes environments, operating directly inside the cloud's Control Plane. Unlike traditional solutions that collect telemetry for engineers to decipher, DataAgent is installed directly in the client's environment and acts immediately to restore service upon detecting a malfunction.
Critical actions such as rebooting servers, allocating resources, or rolling back to a previous version are performed automatically within strict boundaries defined by developers. The root cause analysis occurs only after the service is back online, significantly reducing downtime. Through machine learning and reinforcement learning, the system learns to identify and resolve various types of malfunctions with increasing autonomy.
Up to 90 percent savings
Monitoring expenses consume approximately 17% of organizational computing infrastructure budgets. Because the DataAgent agent operates locally, it eliminates the need to send massive amounts of data for external analysis. CEO Ishai Yaari explained that monitoring providers rely on a data-extraction business model, providing them with no real incentive to lower costs. Their platform runs in parallel to existing tools and can cut expenses by up to 90%. CTO Nati Shalom added that the industry has spent years developing passive, expensive tools, and recent attempts to overlay large language models have not fundamentally changed the situation on the ground.
