InsightFinder secures $15M Series B to scale AI agent monitoring

InsightFinder, an AI observability startup, has raised $15 million in a Series B funding round led by Yu Galaxy. The new funding brings the company’s total capital raised to $35 million. The startup plans to use the capital to scale its platform, which monitors and analyzes AI models alongside their supporting infrastructure.

The company’s technology is built on 15 years of academic research. Founded by Helen Gu, a computer science professor at North Carolina State University, InsightFinder began monitoring, identifying, and proactively fixing IT infrastructure issues in 2016. Nearly a decade into its journey, the company is applying its methods to AI model reliability. Its newest product, Autonomous Reliability Insights, utilizes causal inference—a statistical method used to determine cause-and-effect relationships—to diagnose system issues.

According to Gu, diagnosing modern AI issues requires analyzing data, models, and infrastructure as a unified system. “In order to diagnose these AI model problems, you need to actually monitor and analyze the data, the model, and the infrastructure together,” Gu said. This approach helps enterprises address model drift, which is the degradation of an AI model’s performance over time. For example, when a fraud-detection model drifted at a major U.S. credit card company, InsightFinder identified that the issue was actually caused by outdated cache in server nodes rather than the model itself. Gu noted that a common challenge in the industry is a knowledge gap: data scientists often understand AI but not the underlying systems, while Site Reliability Engineering (SRE) developers—who manage system reliability—understand the systems but not the AI.

InsightFinder operates in a crowded market, competing against established players such as Grafana Labs, Fiddler, Datadog, Dynatrace, New Relic, and BigPanda. Despite this competition, the company has deployed its systems across the world, working with partners like Dell to serve enterprise customers. Its customer roster includes:

• UBS
• NBCUniversal
• Lenovo
• Dell
• Google Cloud
• Comcast

Gu reported that InsightFinder’s revenue has grown over threefold in the past year. The company, which currently has fewer than 30 employees, plans to use the fresh Series B capital to make its first sales and marketing hires to expand its team and invest in its go-to-market motion.

Why it matters

InsightFinder is scaling its go-to-market motion in a crowded AI observability market, where enterprise adoption of AI agents is creating new, complex reliability challenges that traditional tools struggle to address.