DataAgent Secured $10 Million for Kubernetes AI
The startup launched a remediation-first platform designed to automate infrastructure fault resolution.
Updated on Sept. 28, 2026 in Artificial Intelligence
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DataAgent has raised $10 million in pre-seed funding to support the launch of its autonomous Kubernetes management software. The company aims to reduce system downtime and observability costs for enterprise users.
Why it matters
The platform addresses the operational burden of managing complex containerized environments by offloading fault detection and remediation to automated agents. This approach targets the high costs and human resource intensity required to maintain current observability stacks.
DataAgent raised $10 million in pre-seed funding, providing runway for a current staff of 15. The software functions as a lightweight overlay that integrates with existing observability systems.
The players
DataAgent
A startup developing autonomous remediation software for Kubernetes infrastructure.
Ishay Yaari
The CEO of DataAgent who previously worked at Cloudify.
Nati Shalom
The CTO of DataAgent who previously worked at Cloudify.
The details
The platform deploys autonomous agents—specialized software components that act on behalf of the user—to monitor signal data within Kubernetes infrastructure. When a fault is detected, the agents perform remediation autonomously, bypassing the need for manual intervention by site reliability engineers. This system operates as a layer on top of existing observability tools to interpret system health and execute fixes without requiring full replacement of established monitoring stacks.
Timeline
2023: Dell acquired Cloudify.
September 28, 2026: DataAgent announced its funding round and product launch.
The Tech Race
This development follows a trend of shifting from passive observability—where systems only report status—to active remediation within the Kubernetes ecosystem. The founders leverage their background from the Cloudify team to compete in a market currently dominated by traditional monitoring and incident response providers.
Teams currently managing Kubernetes infrastructure can expect potential reductions in manual maintenance overhead and observability spend. Implementation requires integrating the software as an overlay with existing monitoring systems, though the company has not yet provided a public timeline for general availability.
The takeaway
The company intends to focus its immediate go-to-market efforts on accelerating adoption in North America. Industry observers should track future recruitment of staff in the United States and Israel as an indicator of the startup's growth trajectory and service capacity.
Further reading
Learn more about the evolving landscape of Artificial Intelligence and its application in enterprise infrastructure.
Source note: This article includes information reported by Ai-online.
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