Building a company due diligence agent with Deep Agents, LangSmith and Parallel

Automating company research through agentic orchestration and structured web intelligence can enhance due diligence processes in financial services by utilizing LangChain's Deep Agents for orchestrating tasks and Parallel's Task API for web research. This system streamlines the workflow of company investigations by assigning specific subagents to handle different research tracks such as corporate profiles, financial health, litigation and regulatory issues, news and reputation, and competitive landscapes. Each subagent is equipped to perform detailed investigations and produce structured intelligence reports with citations and confidence scores for each finding. The orchestrator coordinates these efforts, ensuring comprehensive coverage and cross-referencing findings to identify contradictions or low-confidence data, with the ability to adapt the research plan as new information emerges. This approach not only accelerates the due diligence process but also ensures compliance and auditability, as each claim is linked back to a primary source, meeting regulatory expectations for transparency and reliability. The entire process, validated through a case study on Rivian Automotive, leverages advanced AI and web research tools to produce reliable and verifiable company intelligence reports efficiently.