DataAgent raises $10M to let AI fix production faults inside Kubernetes clusters

Israeli startup DataAgent Ltd. has secured $10 million in pre-seed funding to launch a platform that automates the resolution of production faults within customers' Kubernetes clusters. Co-founded by Ishay Yaari and Nati Shalom, the company aims to expedite adoption in North America. Previously, they worked at Cloudify Platform Ltd., which was acquired by Dell Technologies for $100 million in 2023.

Traditional observability tools identify faults and delegate troubleshooting to engineers, often requiring the transfer of logs and metrics to a vendor's cloud, leading to escalating costs. A 2025 observability survey by Grafana Labs found that the average cost for such services is around 17% of total compute infrastructure expenses, with an average of 10%.

DataAgent's approach flips this model. Its agents monitor live system state, topology, and configuration drift, identifying the root cause of incidents and applying pre-approved fixes through defined guardrails. The subsequent root-cause analysis occurs offline once service is restored, ensuring faster mean time to resolution.

The software operates within cloud-native control planes and integrates with the customer's existing monitoring stack rather than replacing it. Data transmission occurs only when necessary for deeper investigation, and the agent itself is open source, with a paid SaaS tier for fleet management and orchestration.

This design addresses enterprise concerns regarding closed software in production. Yaari stated that vendors typically charge for data ingestion, which directly impacts customers' bills. Shalom noted that the industry has been "building better ways to watch production and charging more for it every year" without AI copilots changing the outcome. He emphasized that autonomy represents an architectural shift rather than an added feature to observability.

The platform facilitates fault resolution in stages. During onboarding, customers identify which types of failures the software can autonomously resolve. For unproven fixes, the software routes them to a human. Approved fixes are deployed via existing change management processes or a simple command-line instruction. Enterprises that integrate DataAgent's platform with their current tools can potentially reduce their observability expenses by up to 90%.

Funding for DataAgent was led by MizMaa Ventures Ltd. and Alicorn Venture Partners, with MizMaa also investing in Tenet Security Inc., which focuses on runtime security for AI agents.