company-research-agent: what it is, what problem it solves & why it's gaining traction

What it solves

It automates the process of conducting deep company research, replacing manual searching and synthesis with a multi-agent pipeline that generates comprehensive research reports.

How it works

The system uses a sequential pipeline of specialized AI agents to gather and process data:

1. Research Phase: Specialized nodes (CompanyAnalyzer, IndustryAnalyzer, FinancialAnalyst, and NewsScanner) gather data from websites, news, financial reports, and industry analyses.
2. Curation Phase: A Collector aggregates the data, and a Curator uses Tavily's relevance scoring to filter out low-quality content.
3. Synthesis Phase: A Briefing node uses Gemini 2.5 Flash to summarize large volumes of data into category-specific briefings.
4. Finalization Phase: An Editor node uses GPT-5.1 to deduplicate content and format the final report into a structured Markdown document.

The backend is built with FastAPI and supports asynchronous processing, while the frontend is a React application that polls for the report's completion status.