About DataAgent
DataAgent is a Tel Aviv-based AI platform for Kubernetes and connected infrastructure that identifies faults and applies verified fixes on its own. It runs inside the customer's cluster so telemetry never leaves their environment. In September 2026 it emerged from stealth with a $10 million pre-Seed round led by MizMaa Ventures and Alicorn Venture Partners.
What is DataAgent?
What is DataAgent?
DataAgent is an autonomous site reliability engineering platform that focuses on fixing infrastructure problems rather than only reporting them. The company describes its product as a remediation-first Digital Immune System for modern applications, with an initial focus on Kubernetes and connected infrastructure.
Most observability tools alert engineers and help them diagnose incidents. DataAgent instead reads live system state, topology and configuration drift, identifies the likely cause of an incident and applies a verified fix. The goal is to restore service first and shorten mean time to resolution, with deeper diagnostics following later.
A key architectural choice is that the platform runs directly inside the customer's own cluster. Telemetry stays in the customer's environment, and DataAgent is designed to sit alongside existing observability tools rather than replace them.
The company was founded in January 2026 by CEO Ishay Yaari and CTO Nati Shalom, who previously worked together at Cloudify, which was acquired by Dell. It had 15 employees at launch. In September 2026 DataAgent emerged from stealth with a $10 million pre-Seed round led by MizMaa Ventures and Alicorn Venture Partners, and it plans to use the capital to go to market and expand in North America.
Pros
- Applies fixes automatically instead of only alerting engineers
- Runs inside the customer's cluster so telemetry stays in their environment
- Works alongside existing observability tools
- Founders previously built and sold Cloudify
Cons
- Very new company founded in 2026
- Autonomous changes to production require careful trust and guardrails
- Initial focus is Kubernetes, so non-Kubernetes stacks may see less value
How to Use DataAgent
- 1Request access
Contact DataAgent through data-agent.co to start onboarding.
- 2Deploy in your cluster
Install the platform inside your Kubernetes environment.
- 3Connect existing tools
Integrate it alongside your current observability stack.
- 4Review remediations
Monitor the fixes DataAgent applies and tune its policies over time.