Captide's platform revolutionizes investment research teams by automating the extraction of insights and metrics from regulatory filings and investor relations documents, leveraging natural language processing (NLP) workflows and its strategic integration of LangGraph and LangSmith. By allowing users to articulate complex analysis tasks in natural language, Captide simplifies the process of extracting financial metrics, creating customized datasets, and uncovering contextual insights. The platform's seamless transition from query to actionable results redefines efficiency in financial analysis, providing unmatched flexibility to extract company-specific metrics and insights while analyzing exponentially larger volumes of investments. Captide relies on LangGraph for parallel processing and structured outputs, ensuring precision, scalability, and reliable outputs that align with the stringent standards of the financial industry. The platform's ability to generate structured outputs is another highlight, leveraging LangGraph's trustcall python library to structure metrics found in distinct documents. Captide's adoption of LangGraph Studio and CLI further enhances its development workflow, while integrating LangSmith for real-time monitoring and iterative enhancement, providing precise monitoring of agent workflows and detailed traces that highlight response times, error rates, and operational costs. With LangSmith's evaluation tools, this feedback loop enables Captide to identify trends, address weaknesses, and continuously enhance the user experience. Deploying on LangGraph Platform was a natural choice for Captide, offering production-ready API endpoints for interacting with the agent, including endpoints for streaming as well as getting the state of the thread at any point in time. As Captide continues to redefine financial analysis, its integration with LangChain remains a driving force behind its progress, poised to expand its NLP capabilities and set a new standard for the industry.