InsightFinder Inc.

United States - Raleigh, North Carolina

• 13/09/2022
• Series A
• $10,000,000

InsightFinder provides innovative machine learning technology to unlock the value in IT operational data, from performance metrics to textual log files, finding root causes for deviations from normal behaviors and recurring patterns, as well as predicting future events and outages, involving your staff only when necessary and appropriate to do so. InsightFinder’s core technologies and patented solutions are available via online subscription or on-premise deployment.

InsightFinder is the result of more than 15 years of research and development and has been evaluated and licensed by leading tech companies such as Google. In 2016, InsightFinder Inc. was launched with a highly competitive National Science Foundation Small Business Innovation Research (NSF SBIR) phase I award ($150K, also known as America’s Seed Fund). InsightFinder was then awarded two even more competitive grants; NSF SBIR Phase II award in 2017 ($750K), followed by a subsequent NSF SBIR Phase IIB award in 2018 ($500K). Over 4 million dollars funded the research behind InsightFinder’s development in research grants from the National Science Foundation, Google, IBM, and Credit Suisse.

Related People

Xiaohui (Helen) GuFounder

United States - Raleigh-Durham-Chapel Hill Area

Helen Gu is the founder and CEO of InsightFinder Inc. She is also a Professor at Department of Computer Science of North Carolina State University and leads a research group supported by over $4.2 million research grants from NSF, NSA, ARO, Google, IBM and Credit Suisse. She published more than 80 research papers and has filed 10 patents (All of them have been granted). Her research group website is http://dance.csc.ncsu.edu/

Helen was on sabbatical at Google as a visiting scientist in 2015 helping Google evaluate the patented unsupervised behavior learning (UBL) algorithm co-invented by her and her PhD student. Google licensed the UBL technology based on the superior accuracy achieved by UBL on real system failure data. She also worked at IBM T. J. Watson research center as a Research Staff Member in 2004-2007 working on the IBM stream processing system called System S which later becomes IBM's InfoSphere Stream product.

Helen Gu received her PhD in CS from UIUC in 2004 and BS in CS from Peking University in 1999. Her work has been widely reported by presses including NSF research highlights, Communications of ACM, and The Register, and won several best paper awards from prestigious International conferences.

LinkedIn https://www.linkedin.com/in/xiaohui-helen-gu-b1aa42b6/