tech

April 16, 2026

InsightFinder raises $15M to help companies figure out where AI agents go wrong

According to CEO Helen Gu, the biggest problem facing the industry today is not just monitoring and diagnosing where AI models go wrong, it's diagnosing how the entire tech stack operates now that AI is a part of it.

InsightFinder raises $15M to help companies figure out where AI agents go wrong

TL;DR

  • Observability tools are evolving to manage AI agent workloads, focusing on controlling complexity and costs.
  • InsightFinder AI uses machine learning to monitor, diagnose, and fix IT infrastructure issues, now including AI models.
  • The company raised $15 million in Series B funding, led by Yu Galaxy.
  • CEO Helen Gu emphasizes the need to monitor and analyze the entire tech stack, including data, models, and infrastructure, to diagnose AI problems.
  • InsightFinder's new product, Autonomous Reliability Insights, uses various AI techniques for end-to-end feedback loop support.
  • The company competes with established players like Grafana Labs and Datadog.
  • InsightFinder's customer base includes UBS, NBCUniversal, and Lenovo.
  • The company's revenue has grown over threefold in the past year.
  • The new capital will be used for sales and marketing hires and go-to-market initiatives.

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