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Circleback helps teams get the most out of every conversation with best-in-class AI-powered meeting notes, action items, automations, and search. For example, Circleback can automatically identify feature requests that come up in product demo calls and create Linear tasks for each of them, or update your CRM with customer details after a sales call. Before Circleback, Ali led the first integration of LLMs into the Stripe support product and Kevin worked on predictive analytics at Tableau as a senior software engineer.

Build AI assistants that continually learn and delight users with personalized and accurate experiences. ## Memory that learns from your users Zep intelligently learns from user interactions, improving your assistant or agent's knowledge over time. Recall user facts in milliseconds, with Zep adding no latency to your prompt creation. ## Ready for Production and Scale - Granular Memory Controls: Go beyond semantic search with developer-defined rubrics for user fact relevance. - Comprehensive APIs and SDKs: Python, TypeScript, and Go SDKs, with full CRUD control of stored facts. - SOC 2 and tools for Privacy Compliance. ## Build Consistent and Correct LLM Apps Zep's Structured Output and Dialog Classification tools build on Zep's memory enabling you to build more accurate and consistent user experiences. - Extract strongly-typed data from chat history, quickly & accurately: Go beyond your LLM provider's JSON or Structured Output mode with built-in types for datetimes, floats, emails, RegEx patterns, and more. - Instantly classify conversation state: Understand user intent and emotion, segment users, and more.