Israeli startup DataAgent Ltd. formally launched today with $10 million in pre‑seed funding and a platform that repairs production faults inside customers’ own Kubernetes clusters.
DataAgent Ltd., an Israeli AI startup, announced today that it has closed a $10 million pre‑seed round to launch a platform that automatically repairs production faults inside customers’ own Kubernetes clusters.
Funding and Investors
The round was led by SiliconANGLE with participation from several regional venture firms, though the full list of investors was not disclosed.
How the Platform Works
DataAgent’s solution integrates directly with a Kubernetes control plane, continuously monitoring workloads for anomalies. When a fault is detected, the system leverages large‑language models to generate a corrective action, then applies the fix within the cluster without requiring external access.
The approach is designed to respect data sovereignty, as all analysis and remediation occur inside the customer’s environment, addressing common security concerns around cloud‑native AI tools.
Target Market and Use Cases
Enterprises running micro‑service architectures stand to benefit most, especially those with limited DevOps bandwidth. Typical scenarios include automatic rollback of failing deployments, remediation of misconfigured resources, and rapid resolution of node‑level issues.
- Detect and heal failing pods
- Auto‑scale resources based on real‑time metrics
- Patch security misconfigurations without downtime
Roadmap and Future Plans
DataAgent aims to expand its AI models to cover a broader range of cloud‑native platforms beyond Kubernetes, and plans to introduce a marketplace for community‑contributed remediation scripts.
The company will begin beta testing with a select group of customers later this quarter, with a general availability launch slated for early 2027.
Comments
No comments yet.