Sophie

Loom Systems' Sophie is an AIOps platform designed to help businesses improve IT operations and prevent incidents using log analytics, zero-configuration parsing, cross-applicative events correlation, and problem prediction measures. Administrators can conduct root cause analysis to identify or correlate issues and make informed decisions based on data-driven insights or recommendations in real-time. The artificial intelligence and machine learning-enabled platform allows businesses to automate log analysis processes and reduce mean time to detect or discover (MTTD). Teams can utilize a centralized event management system to triage issues, automatically detect unknown problems and correlate relevant events into a single incident. Additionally, it offers an anomaly detection module, which helps IT teams monitor Linux or Windows operating systems and active directories. It integrates with several third-party applications such as AWS Kinesis, AWS EC2, AWS Cloudwatch, AWS Cloudtrail, OpenStack, Docker, LogStash, Fluentd, Impala, Elastic, Heroku and more. Pricing is available on the number of monitored instances and support is extended via live chat, FAQ, and other online measures.