Coralogix, a data and AI observability platform, raises $200 million in funding to scale its monitoring tools for AI workloads. Business Standard and SecurityWeek both report the round is a Series F and values the company at about $1.6 billion. The funding is framed as a response to growing demand for observability as organizations deploy increasingly complex AI systems. Coralogix provides a full-stack observability offering that brings together logs, metrics, traces, and related capabilities, with SecurityWeek also highlighting security and AI observability as part of its unified platform. While the sources emphasize the market need for monitoring and performance visibility, they also describe Coralogix’s product scope as spanning multiple observability data types rather than focusing on a single layer. The announcements focus on the amount raised, the valuation, and the company’s aim to expand its platform to support AI-driven environments. Details on investors, use of proceeds beyond scaling, and timing of the closing are not provided in the excerpts.
Coralogix raises $200 million to expand AI observability platform
Coralogix, a data and AI observability platform, raises $200 million in funding to scale its monitoring tools for AI workloads. Business Standard and SecurityWeek both report the round is a Series F a...
- Coralogix raises $200 million in a Series F funding round.
- The round values Coralogix at about $1.6 billion.
- The company sells an observability platform for managing AI workloads.
- Coralogix’s platform includes logs, metrics, and traces, with AI observability highlighted.
- Sources frame the funding as tied to increased demand for monitoring and observability tools.
Coralogix offers a full-stack observability platform that unifies logs, metrics, traces, security, and AI observability. The post Coralogix Raises $200M at $1.6B Valuation to Scale AI Observability Platform appeared first on SecurityWeek.
2 months agoThe data and AI platform said the Series F round values the growing role of monitoring software in managing increasingly complex AI workloads
2 months ago
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