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Amplitude AI

A suite of AI-powered features that help users navigate every aspect of building digital products

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About Amplitude AI

A suite of AI-powered features that help users navigate every aspect of building digital products. Agents unlock access to the full power of Amplitude’s platform. They let anyone turn analysis into action using natural language. Amplitude AI is a suite of AI-powered tools within the Amplitude platform that helps product teams analyze user behavior, spot trends, and automate insights. It includes AI Agents that run 24/7 to monitor data and suggest actions like experiments or optimizations, making it easier to build better products without constant manual work. AI Agents continuously scan your user data for changes, perform root cause analysis, watch sessions for friction, form hypotheses, and propose fixes like A/B tests. You approve actions before they happen, and the agents learn from feedback to improve over time, all powered by models from OpenAI and AWS Bedrock. Key features include AI Agents for goals like boosting adoption or conversions, Session Replay AI for spotting drop-offs, AI Feedback for turning raw customer input into prioritized insights, and Ask Amplitude for natural language queries. It also offers AI Visibility to track your brand in AI search results. It's ideal for product managers, growth teams, and marketers in tech, e-commerce, or SaaS companies who want to understand user journeys without deep technical skills. Teams already using Amplitude get the most value, but it's accessible for beginners too. It connects via the Model Context Protocol (MCP) to AI clients like Claude or Cursor for behavioral context. It also works seamlessly with Amplitude's core analytics, Session Replay, and third-party sources like Zendesk for feedback aggregation. Amplitude doesn't use your data to train models; everything stays secure and isolated per customer. Property values may be sent to third-party LLMs like Amazon Bedrock for processing, but you control approvals and can opt out of features if needed.

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