Coralogix Raises $200M to Scale the Observability Backbone for the Age of AI

Coralogix, an AI-native platform and a data lake built for observability, led by Ariel Assaraf, Yoni Farin, and the team, has raised $200 million in Series F funding, co-led by Advent, CPPIB, and Greenfield, with participation from Brighton Park Capital, bringing total funding in Coralogix to $550M.

Investors See Observability Becoming a Strategic Intelligence Layer.

According to Alek Ferro, the rise of AI is transforming observability from a technical monitoring function into a broader business intelligence capability. As organizations deploy increasingly complex AI systems and autonomous agents, the ability to monitor, analyze, and understand operational behavior is becoming more critical.

Investors view Coralogix as well-positioned to capitalize on this shift, citing the company’s focus on building an observability platform capable of supporting the scale, speed, and complexity of AI-driven environments while continuing to expand its product capabilities and market presence.

Building Observability for the AI Era.

The funding comes as AI-driven applications generate telemetry data at a scale and complexity that many traditional observability platforms were not designed to handle. As AI agents increasingly assist with incident investigation, anomaly detection, and production operations, observability is evolving from a dashboard-centric discipline into a foundation for machine-driven decision-making.

Coralogix argues that legacy platforms, built around sampled data and static workloads, face growing challenges as telemetry volumes surge and operational environments become more dynamic. In contrast, the company’s architecture is designed around full-fidelity data ingestion, real-time analytics, open standards, and customer-controlled storage, providing a foundation for both human operators and AI systems to understand and manage production environments at scale.

According to Ariel Assaraf, the shift is not simply about processing more data but about enabling a new generation of intelligent operational systems. As AI becomes an active participant in managing infrastructure, observability platforms must evolve from tools that visualize data to systems that help interpret, reason about, and act on it in real time.