CompanyResearcher uses Tavily’s proprietary AI and web scraping technology to automatically gather, clean, and analyze company data from public sources like news sites, regulatory filings, social media, and industry databases. It identifies financial metrics such as revenue, profit margins, and cash flow; maps funding history including investors and round sizes; lists executive teams and board members; and tracks product launches and market developments. The Agent then synthesizes this information into an easy-to-read report with interactive charts, timelines, and benchmarks against industry peers. Users can customize report parameters, filter by date ranges, or compare multiple companies side-by-side. This streamlined workflow accelerates due diligence, competitive intelligence, market research, and sales prospecting, reducing manual research time from hours to seconds.

Deep Research AI Agent is an open-source framework designed to automate every stage of the research process. By chaining web scraping modules, language model-based summarizers, and insight extraction pipelines, it gathers data from online articles, academic journals, and custom sources. It supports GPT-3.5, GPT-4, and other OpenAI models, allowing users to tailor question prompts and memory settings to their needs. After extracting key points and citations, it organizes information into comprehensive markdown or PDF reports. Researchers can extend its capabilities with plugins for database integration, API-based data retrieval, and custom analysis functions. This agent streamlines literature reviews, market research, and technical due diligence, reducing manual effort and ensuring consistent, high-quality outputs.