DataAgent Raises $10M to Make Infrastructure Fix Itself
Israeli startup emerges from stealth with a remediation-first platform that detects and fixes production failures
DataAgent's founders. Photo courtesy the company
Israeli startup DataAgent has emerged from stealth with a $10 million pre-seed round and a platform designed to do something conventional observability tools typically do not: fix production failures rather than simply flag them.
Founded in January 2026 by CEO Ishay Yaari and CTO Nati Shalom, DataAgent has developed an AI-native platform that acts as an autonomous site reliability engineer for Kubernetes and other cloud-native infrastructure. The company currently has 15 employees and is hiring in Israel and the US.
The platform operates directly inside a customer’s infrastructure, alongside existing observability systems. Its agents monitor live system state, topology and configuration, and can take predefined, guardrail-controlled actions when failures occur, including restarting, scaling or rolling back workloads.
That reverses the traditional observability workflow. Instead of detecting a problem, collecting telemetry, sending it to an external platform and then waiting for an engineer to investigate and fix the issue, DataAgent aims to restore the service first and investigate the root cause afterward.
The approach is also designed to reduce the cost of observability. DataAgent processes telemetry locally and sends information for deeper analysis only when necessary, eliminating the need to continuously transfer and store large volumes of data with an external vendor. The company claims its architecture can reduce observability spending by up to 90%.
The platform gradually expands its autonomy. During onboarding, it identifies which classes of failures it can safely remediate, and only takes independent action on failure types that have been validated. Other incidents are routed to human engineers.
DataAgent’s agent is open source and can run independently, while a paid SaaS layer provides fleet management and orchestration.
The funding round was led by MizMaa Ventures and Alicorn Venture Partners. The company plans to use the funding to accelerate commercialization and expand customer adoption in North America.