LogRocket’s machine learning layer cuts through the noise of traditional monitoring and analytics tools, proactively scanning your applications to surface the most critical issues impacting your users.
Legacy monitoring tools send thousands of alerts and errors every day, making it easy to miss important, customer-impacting issues.
Galileo cuts through the noise of traditional error monitoring and analytics solutions to detect the most critical issues affecting your customers.
Machine learning surfaces the highest-importance issues by analyzing user frustration.
Receive regular updates on the highest-priority issues via email or Slack.
Our algorithms learn from your feedback to improve accuracy over time.
No more watching sessions at random hoping to glean new insights.
Get a short-list of the most interesting sessions to watch to understand your users.
Sessions are chosen based on user frustration, activity in high-value areas of your app, KPI impact, and more.
Director, User Experience
LogRocket Galileo allows us to make the most of limited time and resources. It gives us the confidence to know that we’re fixing the issues that will lead to the greatest improvement in UX, and frees our teams up to spend more time designing and building features that our users will love.
Cox Automotive/Manheim uses LogRocket Galileo to uncover hidden areas of friction in their apps, freeing up time to focus on building great products