InsightFinder provides innovative machine learning (ML) technology to unlock the value in IT operational data, from performance metrics (KPIs) to textual log files, finding root causes (RCA) 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 AIOps and DevOps technologies and patented solutions are available via online subscription or on-premise deployment.
InsightFinder incident prediction for AIOps and DevOps 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). The research behind InsightFinder’s development was funded by over 4 million dollars in research grants from the National Science Foundation, Google, IBM, and Credit Suisse.