company-research

Automate company research by retrieving public web data to populate client and proposer profiles. This process structures company overviews, business activities, financial highlights, certifications, and partnerships directly into markdown files for proposal context.

Data enrichment for client profiles is the automatic retrieval and structuring of public company information from web searches. It populates files with business activities, financial data, and certifications to ensure informed proposal development.

Gather public company information by running an automated web search that fetches and structures details into a client profile document. This ensures your project proposal is well-informed and tailored with the latest company overview and partnership data.

Yes, you can automatically populate markdown files with company overview and financial data. The process targets specific files like `org-data/company-profile.md` and `source/client-profile.md` to ensure essential context is structured correctly.

Yes, web scraping for company profiles works without external dependencies. It relies on internal scripts and references to automatically retrieve and structure public company information from web searches into profile documents.

The best way to structure proposer and client information is to automate web data retrieval into dedicated profile documents. This separates your organization's data from client data, ensuring both contexts are enriched with financials and certifications for proposals.