Israeli startup Groundcover has raised $100 million amid growing demand for modern observability solutions, as many companies face challenges in monitoring the high data volumes generated by AI and agentic systems. The company reported a tripling of recurring revenue and secured several seven-figure contracts, highlighting a trend where legacy cloud-monitoring tools struggle to adapt to new demands. Traditional platforms were not originally designed to handle the complexities of AI-driven data, prompting a shift towards solutions that utilize eBPF sensors and bring-your-own-cloud models for efficient data management.

Groundcover: Groundcover is an Israeli startup that provides a full-stack cloud-native observability platform powered by eBPF technology. The platform enables zero-instrumentation monitoring of infrastructure, applications, and AI workloads while storing telemetry data inside customers’ own cloud environments. It recently raised $100 million in Series C funding amid growing demand for solutions that address limitations in legacy monitoring tools strained by AI systems.

Platform Architecture: Modern observability solutions increasingly rely on eBPF sensors and bring-your-own-cloud models to deliver full-fidelity data without sampling or external infrastructure costs.
AI Observability Demand: Traditional cloud-monitoring platforms were not designed for the high data volumes and complexity generated by AI and agentic systems.