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Investment research2025Custom Agentic AICustom AI Integration

A research analyst that works the night shift

Brief turnaround
6h→20m
Sources per run
40+
Cited & traceable
100%

The problem

Analysts spent mornings assembling the same market briefs by hand — gathering filings, news, and data, then formatting it. The work was repetitive but high-stakes.

The approach

  1. Designed a LangGraph agent that plans a research run, then executes tool calls.

  2. Gave it scoped tools: search, document retrieval, a numbers sandbox, and export.

  3. Every claim is cited and traceable; low-confidence steps pause for human review.

  4. Runs on a schedule and delivers a formatted brief before the desk opens.

Stack

  • Python
  • LangGraph
  • Vector DB
  • MongoDB
  • Docker
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