Case Study: 11x boosts AI sales agent adoption and trust with Letta

A Letta Case Study

Preview of the 11x Case Study

How 11x Built Deep Research Agents with Letta

11x, a company providing a B2B sales automation platform, faced significant challenges with AI context limits and user trust. Their customers needed to train AI agents with vast amounts of data, but this quickly exceeded token limits in prompts. A standard RAG solution was implemented but failed because non-technical users did not trust a system where they couldn't see what information the AI was using or its reasoning, leading to very low adoption of their AI features.

To solve this, 11x used Letta to build a transparent "Deep Research Agent." The Letta agent could intelligently synthesize information from a knowledge base, but its key feature was showing its reasoning steps to users in real-time, which built crucial trust. The impact was immediate; the number of customers actively using the AI features jumped from 3 to 85 overnight. Letta's development environment also allowed 11x to build and deploy the solution with remarkable speed, transforming the agent into a foundation for new product offerings.


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11x

Keith Fearon

Head of Growth


Letta

4 Case Studies