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This article was originally published here.
Durham, North Carolina – (April 16, 2026) – InsightFinder AI, a market leader in IT stability
and AI reliability, today announced it has raised $15 million in a funding round led by Yu Galaxy,
bringing InsightFinder’s total funding to $35 million. The funding will accelerate the expansion of
its AI tools, which are already deployed by multiple Fortune 500 companies, to meet the growing
global demand of resilient, autonomous IT systems.
As AI shifts from experimental tools to the backbone of global enterprises, the risk of “agentic
failure” has become a matter of public safety. InsightFinder’s platform is uniquely positioned to
govern these risks.
The announcement follows the company’s launch of Autonomous Reliability Insights (ARI), an
operational reliability agent powered by composite AI technology. ARI is engineered to manage
the full incident lifecycle – including detection, diagnosis, remediation and prevention. By
automatically analyzing observability data to detect anomalies, ARI identifies root causes and
produces actionable intelligence in real-time, preventing catastrophic system failures before they
impact end-users.
“Few challenges are more pressing today than the safety of our digital world. We’re proud to
lead this round and back InsightFinder’s mission to make the world’s digital infrastructure more
reliable. InsightFinder isn’t just optimizing IT; they are building the immune system for the digital
infrastructure that powers our hospitals, banks and other mission-critical industries. By ensuring
these systems are resilient and immune to failure, we are collectively building a safer, more
stable world for everyone,” said PR Yu, Managing Partner at Yu Galaxy.
Dr. Helen Gu, CEO and Founder of InsightFinder AI, said that as LLM models and AI agents
transition into fully operational systems, reliability is no longer a luxury.
“It’s a requirement for a safe society. Our platform provides a holistic and cost-efficient
safeguard platform for both traditional IT services and agentic AI systems. Our product prevents
agentic AI incidents caused by LLM hallucinations, sensitive information leakage and unsafe
executions that could compromise user trust and safety,” she added.
