InsightFinder AI, an artificial intelligence company focused on improving the reliability of enterprise technology systems, has raised $15 million in Series B funding to accelerate growth of its AI-driven reliability platform. The round was led by Yu Galaxy, bringing InsightFinder’s total funding raised to $35 million. The company plans to use the new capital to expand its team, strengthen sales and marketing efforts, and accelerate adoption of its AI tools among enterprises managing increasingly complex digital infrastructure.

Founded in 2016 by Dr. Helen Gu, InsightFinder AI develops machine learning-powered solutions designed to detect, diagnose, and prevent failures across IT environments. The company originated from more than a decade of research into machine learning for IT operations and has built a platform that helps organizations identify problems before they impact critical systems.

Yu Galaxy led InsightFinder AI’s Series B financing. The investment comes as enterprises increasingly seek tools capable of improving reliability across traditional software systems and newer artificial intelligence applications. Yu Galaxy’s backing supports InsightFinder’s efforts to expand its technology platform and meet growing demand for AI-powered operational intelligence.

InsightFinder AI’s platform focuses on AI-driven reliability engineering, helping companies monitor infrastructure, identify anomalies, determine root causes, and recommend corrective actions. The company’s technology combines machine learning with operational data analysis to help enterprises reduce downtime and improve the performance of complex technology environments.

The company’s latest financing follows significant customer growth and increasing demand for AI reliability solutions. InsightFinder said the funding round was driven by customer momentum, including major enterprise contracts and strong revenue growth. The company reported that revenue more than tripled over the previous year and that it secured a seven-figure contract with a Fortune 50 company within three months.

InsightFinder AI serves large organizations including UBS, NBCUniversal, Lenovo, Dell Technologies, Google Cloud, and Comcast. These organizations use technology platforms that require high levels of reliability, making automated monitoring and incident response increasingly important.

The company’s newest product, Autonomous Reliability Insights (ARI), extends InsightFinder’s capabilities into the emerging field of agentic artificial intelligence. ARI is designed to help organizations manage AI-related operational challenges by detecting issues, identifying causes, recommending solutions, and supporting automated remediation.

As companies deploy more AI agents and automated systems, maintaining reliability has become a major challenge. Traditional monitoring tools were built primarily for software applications and infrastructure, but AI systems introduce additional complexities, including changing models, unpredictable behavior, data issues, and operational risks. InsightFinder aims to address these challenges by providing visibility into AI system performance and reliability.

Dr. Helen Gu, InsightFinder’s founder and CEO, has a background in computer science research and previously worked at organizations including IBM and Google. Her academic research focused on machine learning approaches for improving IT operations, which became the foundation for InsightFinder’s commercial platform.

The company is based in Durham, North Carolina, and has developed its technology around the concept of proactive reliability management. Rather than waiting for system failures to occur, InsightFinder’s platform analyzes operational signals to identify potential issues early and help organizations prevent disruptions.

The new funding arrives as enterprises continue investing in artificial intelligence infrastructure. While companies are rapidly adopting AI applications, they are also facing challenges around governance, scalability, and reliability. AI reliability platforms are becoming increasingly important as businesses depend more heavily on automated systems and AI-powered workflows.

InsightFinder plans to use the Series B capital to expand its go-to-market operations, grow its customer-facing teams, and continue improving its AI technology. The company intends to support more enterprises as they transition toward autonomous and AI-driven technology environments.

The company is positioning itself in the growing market for AI operations and reliability management, competing in an area that includes infrastructure monitoring, observability, and automated incident response. InsightFinder differentiates itself by focusing on machine learning-based analysis and proactive problem prevention.

With the support of Yu Galaxy, InsightFinder AI aims to expand its role in helping enterprises operate reliable digital systems. As organizations continue adopting artificial intelligence at scale, the company is focused on providing the tools needed to monitor, understand, and improve the performance of increasingly complex technology environments.

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