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, according to TechCrunch.
Funding Details
The Series F financing comes just 11 months after Coralogix raised $115 million in a Series E round, a pace that reflects how quickly investor appetite for AI infrastructure companies has accelerated, TechCrunch reported. 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.
| Round | Amount | Lead Investors | Valuation (Post-money) |
|---|---|---|---|
| Series F (2026) | $200M | Advent, CPPIB | $1.6B |
| Series E (2025) | $115M | Not disclosed | Not disclosed |
Observability in the Age of AI Agents
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, according to TechCrunch. 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 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, TechCrunch reported.
Customer Adoption and Growth
The shift is already changing how customers interact with Coralogix’s platform, co-founder and CEO Ariel Assaraf 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?’”
The shift has coincided with strong growth for Coralogix. The startup grew revenue by more than 60% over the past year and now counts about 30 customers spending more than $1 million annually, Assaraf said, as it expands further into the enterprise market. The company surpassed $100 million in annualized revenue more than a year ago, Assaraf added, though he declined to disclose current figures.
Global Expansion
The startup employs more than 600 people globally, with about 100 based in India, home to its third-largest office after the U.S. and Israel, according to TechCrunch. The India operation, Assaraf said, has evolved into a regional hub supporting customers across Asia while helping Coralogix expand into large domestic enterprises, including financial institutions.
Coralogix did not raise because it needed additional runway, Assaraf said, adding that the funding would be used to accelerate investment in AI-focused products, security offerings, and global expansion.
“In the AI era, execution and speed matter more than any point-in-time valuation,” he said. “We wanted to accelerate, especially in AI, in security, and in expanding our global footprint.”
Competitive Landscape
Coralogix competes with established observability players such as Datadog, New Relic, and Splunk. However, the company’s focus on AI-native interfaces — including its own AI agent Olly — positions it to capture demand from enterprises deploying AI agents that can autonomously write code, investigate problems, and complete tasks that previously required a human engineer. The investment reflects a broader race among infrastructure firms to build the monitoring layer for autonomous software, TechCrunch reported.
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