Coralogix, a data and AI platform for enterprise observability, has closed a $200m Series F funding round, pushing its total capital raised to $550m.
The round was co-led by Advent, CPPIB and Greenfield, with Brighton Park Capital also participating. The new investment follows the company’s $115m Series E in 2025 and arrives during a period of strong commercial growth.
The funding will be channelled into three areas. First, the company plans to accelerate the development of agentic AI capabilities across its Olly agent, MCP and CLI tools, allowing enterprises to investigate incidents and manage operations at machine speed. Second, Coralogix intends to expand its schema-free telemetry data lake infrastructure to handle real-time processing, extended data retention and open-format analytics at enterprise and AI scale. Third, the company will pursue broader global enterprise adoption, targeting organisations moving away from legacy observability platforms in search of AI-ready architectures and customer-owned data storage.
The raise comes as AI is fundamentally reshaping demand for observability infrastructure. AI-powered applications are producing telemetry data at volumes and speeds that conventional monitoring tools were not designed to handle, while AI agents are increasingly performing roles previously reserved for engineering teams — answering production queries, analysing anomalies and operating systems directly. Coralogix argues this exposes structural weaknesses in older platforms, which were built for static, sampled workloads and often struggle to manage the costs and blind spots that come with agentic-scale data volumes.
Coralogix provides an observability platform built around full-fidelity data ingestion, real-time streaming analytics, open formats and customer-controlled storage. Its streaming engine and schema-free architecture allow enterprises to retain and query significantly larger volumes of production data without the traditional tradeoff between visibility and cost. The platform processes petabytes of data daily across eight regions, including a GovCloud environment serving public sector and regulated industries, and counts over 5,000 customers worldwide, including IBM, Tradeweb and JFrog. The company serves clients across FinTech, AI infrastructure, cybersecurity and cloud-native enterprise sectors.
Coralogix’s built-in AI agent, Olly, along with its MCP and CLI interfaces, all operate on the same underlying data foundation, enabling teams to shift from human-led operations towards increasingly autonomous observability without changing platforms. The company frames its architecture not as a response to the AI wave but as infrastructure that was already aligned with it before the wider industry began adapting.
Coralogix CEO and co-founder Ariel Assaraf said, “The architecture was already there. Long before the industry started talking about AI agents, we built around the idea that observability needed complete data, open access and infrastructure customers could truly control. What’s changing now is the interface layer on top of that foundation. Engineers are no longer the only consumers of observability data. AI systems are becoming operational participants themselves. This funding allows us to accelerate that transition and build the intelligence layer required for the next generation of production operations. In the AI era, dashboards are no longer the starting point for observability. Intelligence is. We didn’t reposition for this shift. We were built for it.”
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