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Coralogix, a Boston-headquartered software-monitoring startup founded in Israel, has raised $200 million in a new funding round, betting that the rise of AI agents will drive demand for a new generation of tools to monitor, troubleshoot, and manage increasingly autonomous software systems.
The Series F financing comes just 11 months after Coralogix raised $115 million in a Series E round, a pace that reflects just how quickly investor appetite for AI infrastructure companies has accelerated. The new round values the startup at $1.6 billion post-money and was led by Advent and the Canada Pension Plan Investment Board (CPPIB), with participation from Greenfield Partners and Brighton Park Capital. The company has now raised a total of $550 million to date.
The investment comes as software companies race to adapt to the rise of AI agents, software systems that can autonomously write code, investigate problems, and complete tasks that would previously have required a human engineer.
Coralogix is among a growing number of infrastructure firms betting that as AI systems move into production, demand will rise for tools that can monitor their behavior, troubleshoot failures, and provide the operational data needed to keep them running reliably. (The more autonomous software you deploy, the more you need to know when something goes wrong and why.)
Founded in 2014, Coralogix helps companies monitor the health and performance of software systems by collecting and analyzing operational data such as logs, metrics, and traces — essentially a continuous record of what a software system is doing and how it’s behaving. The platform is used by more than 5,000 customers worldwide, including IBM, Tradeweb, and JFrog, to detect outages, investigate incidents, and optimize applications.
The observability industry, where Coralogix competes with the likes of Datadog, New Relic, and Splunk, is being reshaped by the rise of AI. Vendors are increasingly embedding AI into monitoring and incident-response workflows as enterprises deploy more AI-powered applications and agents.
The shift is already changing how customers interact with Coralogix’s platform, co-founder and CEO Ariel Assaraf (pictured above, right) said in an interview. More than half of the startup’s enterprise customers now use either its AI agent, Olly, or their own AI models through command-line and agentic interfaces to investigate incidents and query operational data, he said.
“The interface layer is slowly getting eroded,” Assaraf told TechCrunch, observing that engineers are increasingly interacting with software through AI assistants and command-line tools rather than traditional dashboards. “Most of the usage is going to be around, ‘How do I connect my LLM to this? How do I operate this through my CLI?’” In plain terms, his customers are less interested in logging into a dashboard and more interested in asking an AI assistant what’s wrong.