InsightFinder announced that it has raised $10 Million in Series A funding led by Silicon Valley Future Capital with participation from Yu Galaxy, Acadia Woods Partners, Eight Roads Ventures, Eastlink Capital, Fellows Fund, IDEA Fund Partners, and Triangle Tweener Fund.
InsightFinder predicts and prevents outages in complex distributed IT architectures through the company’s unique patented technology for unsupervised stream learning and pattern-driven auto-remediation.
“We’re excited about InsightFinder’s vision and advanced AI platform to change the way IT operates from fixing to preventing production outages along with the enthusiasm from their very demanding enterprise customers,” said Dr. Miao Hong, General Partner at Silicon Valley Future Capital.
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“What’s unique about InsightFinder is that we help customers predict and prevent IT outages before they happen vs. having to put out IT fires after they start,” said InsightFinder founder and CEO Dr. Helen Gu, world-renowned pioneer in AI technologies for automatic system anomaly prediction and diagnosis with numerous patents, papers, and accolades.
“In working with the NHL, Formula 1 and other large media brands, expectations are at an all-time high to deliver first-class content, connectivity and analytics continuously without any glitches. InsightFinder helps Source Digital provide the most innovative media solutions and allows us to meet our service level targets because of their AI-powered incident prediction and prevention platform,” said Nick Steele, CTO of Source Digital.
Many IT professionals today are required to focus on fixing what’s broken, with metrics such as mean time to repair (MTTR). First-generation AIOps tools offer some relief through a focus on event correlation and alert reduction but have struggled to scale cost-effectively and deliver quantifiable business value.
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Using InsightFinder, a Fortune 50 technology company achieved predictions of the most severe priority one and two (P1 and P2) incidents with advance notice of between 2 and 12 hours along with actionable insights on relevant root causes and culprit hosts, contributing to a 70 percent reduction in IT trouble tickets over an 8-month period.
InsightFinder recently introduced distributed federated learning, which provides deep insights associated with edge computing in different locations and apps without incurring high data transmission costs. This provides a unique solution that not only predicts and prevents outages but also reduces IT operating costs.
InsightFinder supports AWS, Google Cloud Platform and Microsoft Azure clouds as well as on-premise and hybrid-cloud customer environments. InsightFinder aggregates and analyzes real-time streaming logs, metrics, traces and other heterogeneous machine data from across developer, security and operations (DevSecOps) and site reliability engineering (SRE) workflows. InsightFinder offers pre-built integrations with Datadog, Elastic, New Relic, PagerDuty, Prometheus, ServiceNow, and other popular tools for IT operations management (ITOM) and IT service management (ITSM).
InsightFinder will use the new funding to expand its team and enhance its industry-leading IT incident prediction and prevention technology in support of its growing customer base. Starting September 1st 2022, the company moved its HQ office to a new facility in Research Triangle Park (RTP) to accommodate a fast-growing team.
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