DataAgent launches with $10M to let AI fix Kubernetes production faults

DataAgent plans to use the funding to accelerate customer adoption in North America. The company was founded in January by Ishay Yaari and Nati Shalom, who serve as chief executive and chief technology officer. Both previously worked at Cloudify Platform Ltd., an open-source cloud orchestration company that Dell Technologies Inc. acquired in 2023 for a reported $100 million.

Traditional observability tools detect a fault and hand it to an engineer to investigate, according to the company. That approach requires a paid second copy of a customer's logs and metrics shipped to a vendor's cloud, with bills that grow alongside the monitored system. Grafana Labs Inc.'s 2025 observability survey found that such spending averages 17% of total compute infrastructure spending, with 10% as the most common answer.

DataAgent said it reverses the sequence. Its agents read live system state, topology and configuration drift where the data already resides, determine what caused an incident and apply a fix that the customer has pre-approved through guardrails it defines itself. Deeper root-cause analysis runs afterward, offline, after service is restored. The company said this ordering shortens mean time to resolution.

The software runs inside cloud-native control planes and sits above a customer's existing monitoring stack rather than replacing it. Data goes outward only when a fault needs deeper inspection. The agent itself is open source and can be run standalone at no cost, with a paid software-as-a-service tier for fleet management and orchestration. DataAgent said the design addresses enterprise resistance to running closed software in production.

“In 10 years, no one has ever heard an engineering leader say their organization’s observability costs went down and that is no accident,” Yaari said in a statement. “When a vendor’s revenue is your data ingest, it cannot cut your bill without cutting its own.”

Shalom said the industry has spent 15 years “building better ways to watch production and charging more for it every year,” and that adding AI copilots to that model has not changed the outcome. He described autonomy as an architectural shift rather than a feature layered onto observability.

The platform gains independence in stages. During onboarding, a discovery phase shows customers which classes of failure the software can already fix on its own, while another timeline covers the rest. Faults the software has not been proven correct on are routed to a human. Approved fixes deploy through a customer's existing change management process or a single command-line instruction.

MizMaa Ventures Ltd. and Alicorn Venture Partners led the pre-seed round. MizMaa also backed Tenet Security Inc., which launched in June with $6 million in seed funding to police rogue AI agents at runtime. DataAgent said customers who run its platform alongside existing tools can cut up to 90% of their observability bill.