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InsightFinder has raised $15 million in a Series B round led by Yu Galaxy, bringing its total funding to $35 million. The funding comes as more companies quickly roll out AI agents, but monitoring tools are struggling to keep pace.
The company did not actively seek this funding. Founder and CEO Dr. Helen Gu said investors reached out to InsightFinder after it landed a seven-figure deal with a Fortune 50 customer in just three months. Revenue has more than tripled over the past year.
InsightFinder’s main idea is simple but often overlooked: most AI monitoring tools focus on how models perform during development and testing, but they overlook the challenges that arise in real-world use. These challenges include model drift due to outdated infrastructure, agent failures caused by data changes, and hallucinations that only appear with real-world queries.
InsightFinder’s platform brings together data from the entire stack to spot problems, find root causes, and predict failures before they get worse. Its newest product, Autonomous Reliability Insights, adds an agent layer that can suggest fixes and automate routine incident responses.
The startup competes with companies such as Grafana Labs, Fiddler, Datadog, Dynatrace, New Relic, and BigPanda, all of which offer AI reliability solutions. Dr Gu says InsightFinder stands out for its deep customisation, built on years of working directly with Fortune 50 companies. Instead of a standard product, InsightFinder offers a system tailored to each customer’s specific failure risks.
The new funding will support the company’s first dedicated sales and marketing hires, growing a team of fewer than 30 people as InsightFinder looks to build on its enterprise momentum and expand its market presence.
