DataAgent launched with $10 million in pre-seed funding.
Its platform repairs production faults inside customers' own Kubernetes clusters.
The company says customers can cut up to 90% of their observability bill.
What happened
Israeli startup DataAgent Ltd. launched today with $10 million in pre-seed funding for a platform that repairs production faults inside customers' own Kubernetes clusters. The round was led by MizMaa Ventures Ltd. and Alicorn Venture Partners.
Why it matters
Conventional observability tools ship a second copy of logs to a vendor's cloud, and costs average 17% of total compute infrastructure spending according to Grafana Labs' 2025 survey. DataAgent instead analyzes data where it already sits and applies pre-approved fixes, which the company says shortens mean time to resolution and can cut up to 90% of observability bills.
What to watch
The agent is open source and can be run standalone at no cost, with a paid SaaS tier for fleet management. DataAgent plans to use the funds to accelerate customer adoption in North America.
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DataAgent's launch comes amid growing enterprise frustration with rising observability costs. Grafana Labs' 2025 survey found such spending averages 17% of compute infrastructure budgets, a burden that scales with the systems being watched. The startup's approach of processing data in-place and only sending what is necessary for deeper inspection directly challenges the vendor revenue model that, as CEO Ishay Yaari put it, "cannot cut your bill without cutting its own."
Co-founder Nati Shalom frames autonomy as an architectural shift, not a feature layered onto existing tools. By making the agent open source and running inside a customer's own environment, DataAgent aims to overcome resistance to closed software in production. The staged deployment—discovery, timeline, human handoff for unproven fixes—is designed to build trust. With backing from MizMaa Ventures and Alicorn, which also backed Tenet Security, DataAgent enters the market with a value proposition that could appeal to budget-conscious operations teams.
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