Coralogix Lands $200M to Scale AI-Era Observability Platform

Coralogix, a data and AI observability platform provider, has raised $200 million in Series F funding. The round was led by Advent and CPPIB, with participation from Greenfield and Brighton Park Capital, bringing total funding in Coralogix to $550M. 

Coralogix raises new Series F funding

According to the company, the Series F builds on the $115 million in Series E funding in 2025 and comes amid strong commercial growth and customer adoption.

In the official press release announcing the funding, Advent Technology Investor Alek Ferro praised Coralogix’s continued innovation in the AI era, particularly its efforts to evolve its observability platform.

“AI is fundamentally changing the way enterprises operate, and observability is quickly evolving into a core layer of business intelligence,” Ferro said. 

“Coralogix has consistently stayed ahead of that transformation, building a platform designed for the scale, speed and complexity of the agentic era. Since our initial investment, the company has continued to accelerate innovation and market adoption, reinforcing our belief that Coralogix is positioned to define the future of AI-powered observability,” he added.

AI is reshaping observability demands

Coralogix said its platform was specifically designed to address the massive increase in the complexity and volume of telemetry data generated by AI-powered applications, arguing that these changes have exposed the limitations of legacy observability tools.

“Previously, our tech team would have certain visibility and reporting things on our infrastructure side, and then the business leaders might have a few others, but it was very siloed,” Chris Cutajar, infrastructure engineering and security manager at Coralogix customer NetRefer, told us last year. “I’ve used multiple tools over the years to try to address observability problems.”

In particular, the company said platforms built for “static, sampled workloads” are struggling to handle agentic-scale telemetry volumes, leading to runaway ingestion costs as data grows and leaving engineering teams with blind spots that traditional dashboards and alert rules were never designed to address.

“Coralogix was built for that shift, with an observability architecture designed for full-fidelity ingestion, real-time streaming analytics, open formats and customer-owned storage at massive scale,” the company said. 

“In the dashboard era, that architecture helped customers retain more telemetry data, reduce cost, and maintain deeper operational visibility. In the AI era, it provides the data foundation intelligent systems need to investigate, reason about, and operate complex production environments in real time.”

Funding supports telemetry and enterprise growth

Meanwhile, Coralogix CEO Ariel Assaraf emphasized that the company has long prioritized complete data in observability, adding that the new funding will help accelerate a more intelligent approach to the practice.

“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,” Assaraf said.

“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.”

Coralogix expands AI-native observability tools

Coralogix says it plans to use the funding to accelerate growth across three core areas:

• AI-Native Observability: Accelerating development of agentic AI capabilities across Olly, MCP, and CLI to help enterprises investigate, automate, and operate at machine speed across increasingly complex AI-driven environments.
• Telemetry Data Infrastructure: Expanding Coralogix’s schema-free telemetry data lake architecture to support real-time processing, long-term data retention, and open-format analytics at enterprise and AI scale.
• Global Enterprise Expansion: Scaling platform adoption among organizations modernizing beyond legacy observability tools as demand grows for AI-ready architectures, complete telemetry fidelity, and customer-owned data infrastructure.

The company said it is now trusted by more than 5,000 customers worldwide, including enterprises such as IBM, Tradeweb, and JFrog. It is also continuing to expand its presence across organizations in fintech, AI infrastructure, cybersecurity, and cloud-native industries.

Earlier this year, Coralogix announced that the U.S. Department of Education’s Federal Student Aid will sponsor the company’s pursuit of FedRAMP Moderate authorization. Read more about the initiative and how it supports Coralogix’s vision for real-time observability.