BOSTON: Coralogix, a software monitoring company founded in Israel and now headquartered in Boston, said on June 3 that it raised $200 million in Series F funding at a $1.6 billion post-money valuation. Advent and the Canada Pension Plan Investment Board co-led the round, with Greenfield Partners and Brighton Park Capital participating. The financing values the 12-year-old startup at roughly 60% more than its previous round and brings total capital raised to $550 million, the company said in a press release.
The Series F closes just 11 months after Coralogix’s $115 million Series E, a pace that reflects how quickly venture capital is moving into AI infrastructure. Co-founder and CEO Ariel Assaraf told TechCrunch the company did not need the runway. It raised because investor demand for the category is high and the window to grab share is open.
Why VCs Are Paying Up to Watch the AI Agents
Observability used to mean watching servers, logs, and request traces so engineers could spot outages and slow queries. The pitch behind Coralogix’s round is that the job is changing. As companies push autonomous agents into production, meaning software that writes code, investigates incidents, and acts on customer data without a human in the loop, someone has to monitor what those agents actually do. Catch them when they hallucinate, when they loop, when they rack up runaway token bills, when they touch the wrong system.
Coralogix is one of several infrastructure companies betting that “agent observability” becomes its own software market, separate from the legacy stack dominated by Datadog, New Relic, and Splunk. Its platform ingests full-fidelity telemetry into a schema-free data lake, with customer-owned storage and open formats, and exposes that data to a built-in AI agent called Olly along with MCP and CLI interfaces for automated workflows.
Assaraf said more than half of the company’s enterprise customers now investigate incidents and query operational data through Olly or their own AI models via command-line and agentic interfaces, rather than dashboards. “The interface layer is slowly getting eroded,” he told TechCrunch. “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?'”
What does Coralogix’s $1.6 billion round mean for founders building with AI agents?
It signals that enterprise spend is shifting from human-in-the-loop dashboards to agent-aware monitoring, and that VCs see “watching the agents” as a category worth funding before most builders have hit the failure modes yet. The bet runs parallel to the broader AI infrastructure buildout reshaping the cost stack underneath every founder shipping with LLMs. Founders shipping agents should instrument them now, tracking token cost, tool calls, and hallucination rates, before scale exposes the silent failures.
The Coralogix round lands in a market that is already moving. Cognition AI, the company behind the Devin coding agent, recently raised $1 billion at a $26 billion valuation, and capital continues to flow into the broader agentic infrastructure buildout that Nvidia CEO Jensen Huang outlined in his Computex 2026 keynote. More agents in production means more failure modes, more cost spikes, and more regulatory exposure for the founders deploying them. That is the demand curve Advent and CPPIB are betting against.
For early-stage founders, the read is concrete. If you are building with agents, treat observability as a day-one decision, not a series-B fix. Token spend, tool-call accuracy, latency at the agent step, and audit trails for compliance are now part of the cost of running production software. The companies winning enterprise contracts in 2026 are the ones that can show, with logs and metrics, what their agents did and why.
What to Watch Next From Coralogix
Assaraf told TechCrunch the company does not currently expect to raise additional capital and is working toward profitability over the next few years. He said Coralogix is also preparing to operate with the financial discipline of a public company, though he stopped short of committing to an IPO timeline. The company surpassed $100 million in annualized revenue more than a year ago and now counts about 30 customers spending over $1 million annually, with 5,000-plus total customers including IBM, Tradeweb, and JFrog.
The proceeds will go toward three areas, according to the company’s announcement: agentic AI capabilities across Olly, MCP, and the CLI; expansion of the telemetry data lake architecture for real-time processing and long-term retention; and global enterprise growth, with continued buildout in India where Coralogix already employs about 100 of its 600-plus staff. Watch for product launches around AI guardrails, code-agent observability, and AI security posture management. The company has already begun shipping into all three.
The bigger signal: agent monitoring is no longer a feature inside an APM tool. It is becoming a category. Whether that category produces one winner or a half-dozen, the next 18 months will tell, and Coralogix just bought itself $200 million worth of time to make its case.
