InsightFinder builds an AI-driven reliability platform that helps enterprises deliver dependable digital services and trustworthy AI agents. Born from roughly 15 years of academic research, the company has applied machine learning to IT operations, including anomaly detection, root cause analysis and remediation, since 2016, and has expanded that approach to the reliability of AI models and agents.
The platform spans IT observability for traditional infrastructure and AI observability for model drift and performance, unified by an operational agent (ARI) that resolves issues in real time. Its Autonomous Reliability Insights product combines unsupervised machine learning, proprietary large and small language models, predictive AI and causal inference to move from detection and diagnosis through to remediation and prevention.
InsightFinder was founded by CEO Helen Gu, a computer science professor at North Carolina State University who previously worked at IBM and Google. Named customers include Dell, Lenovo, UBS, NBCUniversal, Google Cloud and Comcast.
In April 2026 the company raised a $15M Series B led by Yu Galaxy, bringing total funding to about $35M. The company reported more than tripling revenue in the prior year and said investors approached it after a seven-figure Fortune 50 deal; it has fewer than 30 employees and plans its first sales and marketing hires.
With AI agent reliability becoming a board-level concern, InsightFinder positions itself at the intersection of AIOps and the emerging AI observability category.