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It’s your product data speaking back to you. Ask questions about user behavior and technical issues in natural language.
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Short segments from sessions that capture user actions, issues, or patterns. All based on your preferences.
Reproduce and fix bugs as if they happened in your own browser, using session replay and built-in developer tools that take you straight to the issue.
Understand why users drop off, what they missed and which features drive engagement. Prioritize what matters and make informed product decisions.
Forget tickets and screenshots. Step into live sessions, see exactly what the user sees in your app, and co-browse with them before they churn.
Validate your design decisions by seeing how users actually interact with your app. Uncover frictions and moments where UX breaks down.
kAI is OpenReplay’s AI assistant that lets you ask product and technical questions in plain language. It provides answers using session data, user events, and system insights.
No. Those are standalone AI features inside OpenReplay. kAI is a unified assistant that brings them together by responding to your questions using advanced reasoning.
kAI is currently available for Serverless Cloud users. We plan to make it available for Dedicated and Self-hosted setups soon.
Yes. When available for self-hosted environments, you will have full control over how kAI runs and what it accesses.
No. kAI does not access your database directly. It reasons over existing APIs, processed data, and OpenReplay’s internal systems.
MCP is the orchestration system that powers kAI. It manages context, prompts, and data flow so that kAI can respond accurately without needing raw database access.
Yes. A live demo of kAI will be available on the website to show how it responds to real questions about sessions, errors, and product behavior.