How Bridgewater’s AIA Labs Built PAT: The AI Pocket Analyst Tool
Brendan McManus, Michael Ran, and Santi Weight from Bridgewater's AIA Labs present the work behind the AIA Pocket Analyst Tool (PAT): an automated analyst that enables investors to complete hours of exploratory research in minutes.
In this presentation, they explain how Bridgewater combines decades of codified investment knowledge with large language models, agentic workflows, and modern software architecture to build AI tools for investment research. They also share how PAT learns from investor feedback to improve with every user interaction, the multidisciplinary teams—investors, engineers, and scientists—behind its development, and the engineering approach powering its capabilities.
This content is provided by LangChain and originally appeared as a session at Interrupt 2026: The Agent Conference by LangChain. Recorded on May 19th, 2026.
See Important Disclosures and Other Information and the Risks Associated with the Use of AI Tools.
In this presentation, they explain how Bridgewater combines decades of codified investment knowledge with large language models, agentic workflows, and modern software architecture to build AI tools for investment research. They also share how PAT learns from investor feedback to improve with every user interaction, the multidisciplinary teams—investors, engineers, and scientists—behind its development, and the engineering approach powering its capabilities.
This content is provided by LangChain and originally appeared as a session at Interrupt 2026: The Agent Conference by LangChain. Recorded on May 19th, 2026.
See Important Disclosures and Other Information and the Risks Associated with the Use of AI Tools.