Record is an AI-powered observability tool designed to help teams understand and resolve user issues effectively by capturing user sessions and automating problem resolution. It collects data during user interactions, allows users to record their issues, and provides analysis to identify and recommend solutions. With features to streamline workflows and integrate with support systems, Record aims to elevate customer experience and improve software quality by proactively detecting errors and bugs before they escalate into support tickets.
• error and network analysis
• ai-generated suggestions for resolutions
• active monitoring and alerts
• integration with support systems
• data analysis and monitoring
• automated problem resolution
• user session recording
• 1 seat
• 20 Records per month
• 500 Sessions per month
• 7 days Data storage limit
• Record Feed
• Record Investigation
• Ticketing System Integration
• 5 seats
• 300 Records per month
• 5,000 Sessions per month
• 14 days Data storage limit
• Record Feed
• Record Investigation
• Ticketing System Integration
• 15 seats
• 2,500 Records per month
• 10,000 Sessions per month
• 30 days Data storage limit
• Record Feed
• Record Investigation
• Ticketing System Integration
• Window Object Capturing
• 30 seats
• 6,000 Records per month
• 100,000 Sessions per month
• 90 days Data storage limit
• Record Feed
• Record Investigation
• Ticketing System Integration
• Window Object Capturing
• Record AI
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A federated AI framework that integrates decentralized data sources for AI development.
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