LogicMonitor closes Catchpoint buy, targets AI observability

LogicMonitor announced it has completed its acquisition of Catchpoint for more than $250 million, combining hybrid observability and internet performance monitoring capabilities to address the increasing complexity of AI infrastructure and distributed workloads.

LogicMonitor said its acquisition of Catchpoint would directly address enterprises struggling with distributed compute environments and growing tool sprawl as they increase AI deployments.

“Until now, IT teams have been juggling point tools that promise insight but deliver noise,” said Christina Kosmowski, CEO of LogicMonitor, in a statement. “Together with Catchpoint, we are giving customers the power to predict issues, prevent downtime, and finally make their systems as smart as the people who run them.”

The acquisition combines LogicMonitor’s observability platform with Catchpoint’s internet-level intelligence, which monitors performance from thousands of global vantage points. Once integrated, Catchpoint’s synthetic monitoring, network data, and real-user monitoring will feed directly into Edwin AI, LogicMonitor’s intelligence engine.

The goal is to let enterprise customers shift from reactive alerting to predictive issue detection and automated remediation, according to the company. LogicMonitor says the combined platform will deliver visibility from on-premises infrastructure through to the internet, eliminating blind spots for enterprises with distributed, hybrid environments.

“Catchpoint was founded to make the Internet better for everyone,” said Mehdi Daoudi, CEO and co-founder of Catchpoint, in a statement. “We have helped teams detect issues faster, reduce mean time to repair [MTTR], and protect billions of sessions. Now, as part of LogicMonitor, we can do it on a global scale and redefine what performance means in the AI era.”

For enterprises, the acquisition offers consolidated monitoring across infrastructure, internet, and user experience in a single platform. The solution will address IT pain points, including downtime, tool sprawl, and the challenge of correlating data across disparate systems as organizations deploy AI workloads that extend across distributed environments, according to LogicMonitor.

The transaction closed following customary regulatory approvals.