AI BriefingBuilding Enterprise Due Diligence Agents with Deep Agents
Key point
Built an agent combining LangChain Deep Agents and the Parallel API to automate enterprise due diligence workflows.
Details
Built an agent combining LangChain's Deep Agents and the Parallel Task API to automate enterprise due diligence workflows. This system ensures visibility through LangSmith and efficiently handles complex multi-stage research processes.
The agent orchestrates sub-agents responsible for 5 core research tracks.
- Company Profile: Legal structure, key executives, founding history, etc.
- Financial Health: Funding, revenue signals, valuation metrics
- Litigation & Regulatory: Lawsuits, SEC filings, sanctions screening
- News & Reputation: Press coverage, leadership changes, media sentiment
- Competitive Landscape: Identify top 3 competitors and analyze positioning
Once the competitive landscape analysis is complete, the orchestrator runs Competitor Analysis sub-agents in parallel, each in an independent context, for every competitor. It then cross-validates all work outputs and, if discrepancies are found, conducts additional investigation via Parallel's search API to produce the final report. All claims include source tracking and confidence scores.
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