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 are excited about InsightFinder’s vision and advanced AI platform to transform the way IT operates from fixing to preventing production losses 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 versus putting out IT fires after they start,” said InsightFinder founder and CEO Dr. Helen Gu, well-known pioneer in AI technology for automatic prediction and analysis of system anomaly with many patents, papers, and recognitions.
“Working with the NHL, Formula 1 and other major media brands, expectations are at an all-time high to deliver first-class content, connectivity and analytics without a hitch. InsightFinder helps Source Digital provide the most innovative media solutions and enables us to meet our service level targets thanks to 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 is broken, with metrics such as mean time to repair (MTTR). First-generation AIOps tools offered some comfort by focusing on event correlation and alert reduction but struggled to scale cost-effectively and deliver measurable business value.
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Using InsightFinder, a Fortune 50 technology company achieved predictions of the highest priority one and two (P1 and P2) incidents with advance notice between 2 and 12 hours along with actionable insights into associated root 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 related to edge computing across multiple locations and apps without incurring high data transmission costs. It provides a unique solution that not only predicts and prevents outages but also reduces IT operational 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 disparate machine data from 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 IT operations management (ITOM) and IT service management (ITSM) tools.
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. As of September 1, 2022, the company has moved its HQ office to a new facility in Research Triangle Park (RTP) to accommodate a rapidly growing team.
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