Coralogix raises $200M as AI changes observability workflows

Coralogix has raised $200 million in Series F funding to expand its observability platform for enterprises running more AI-driven applications and agent-based workflows. The round was co-led by Advent, CPPIB, and Greenfield, with participation from Brighton Park Capital. The company has now raised $550 million in total funding.

Observability is becoming harder for engineering teams to manage. AI applications are generating more telemetry data, while AI agents are starting to help investigate incidents, explain anomalies, and support operational workflows. That creates pressure on observability platforms to process more data in real time without pushing teams into higher ingestion costs or leaving gaps in visibility.

Coralogix said it will use the funding across three areas: AI-native observability, telemetry data infrastructure, and global enterprise expansion. That includes more development around Olly, its built-in AI investigator, as well as MCP and CLI interfaces for agent-based workflows. The company is also expanding its schema-free telemetry data lake architecture for real-time processing, long-term retention, and open-format analytics.

Observability is now becoming part of AI operations. Customers need help managing large amounts of data, keeping costs under control, and making sure teams can still access the data they need. They also need to decide where AI agents can safely help with production work. Coralogix is building around that need. Its platform supports customer-owned storage, streaming analytics, and workflows that can be handled by humans, AI tools, or automated agents on the same data foundation.