InsightFinder raises $15M to find why AI agents fail in companies

In short: InsightFinder raised $15 million to help companies understand and fix problems when AI agents go wrong.

What happened

InsightFinder, a company that builds software to monitor how business computer systems behave, has raised $15 million in a Series B funding round led by Yu Galaxy, according to TechCrunch.

The company says more businesses are now using “AI agents,” which are AI tools that can take actions on their own, like pulling data, answering customer questions, or triggering a workflow. When something breaks, it is often unclear if the cause is the AI model, the data it is using, or the underlying systems that run everything.

CEO Helen Gu said the main challenge is not only spotting errors in the AI itself, but understanding how the whole setup works once AI is added. She described a customer example involving a large U.S. credit card company. The company saw its fraud detection model “drift” (meaning its results slowly got worse over time), and InsightFinder traced the cause to outdated cached data on some servers (a cache is like a saved copy meant to speed things up).

InsightFinder says its newer product, called Autonomous Reliability Insights, is meant to detect problems, diagnose the likely cause, and suggest or take steps to fix them. The company says it has customers including UBS, NBCUniversal, Lenovo, Dell, Google Cloud, and Comcast.

Why it matters

As more companies let AI tools do real work, small technical issues can lead to real-world costs, like missed fraud, broken checkout flows, or customer support mistakes. Tools that act like a “check engine” light for both AI and the systems around it can help businesses find problems faster and avoid downtime.

Source: TechCrunch AI