exa-labs/company-researcher

Company Researcher tool helps you instantly understand any company inside out.

What it solves

Company Researcher is designed to eliminate the manual effort of researching a company. It allows users to instantly gather comprehensive insights about an organization, its products, funding, and social presence by providing a single entry point for data collection from across the web.

How it works

Users input a company's URL, and the tool uses the Exa.ai search API to fetch data from multiple sources. It integrates with the Vercel AI SDK and Anthropic's LLM to process and present this information. The tool specifically targets several categories of data:

  • Website Information: Extracts content from the main site and key subpages like About, Pricing, and Blogs.
  • LinkedIn Data: Finds company and founder profiles.
  • Financials: Gathers funding details, valuations, and profiles from Crunchbase, PitchBook, and Tracxn, as well as 10K reports.
  • Market Intelligence: Pulls news coverage, Wikipedia entries, and performs competitor analysis.
  • Social Media: Retrieves profiles and recent activity from X (Twitter), YouTube, TikTok, Reddit, and GitHub.

Who it’s for

This tool is for anyone needing rapid company intelligence, such as sales professionals, investors, and market researchers.

Highlights

  • Multi-source aggregation: Combines data from professional networks, financial databases, and social media platforms.
  • AI-powered search: Leverages Exa.ai for semantic search and clean content extraction.
  • LLM integration: Uses the Vercel AI SDK and Anthropic for intelligent data processing.
  • Extensible architecture: Built with Next.js and TailwindCSS for a modern, efficient frontend.

Related

  • Project
    u14app/deep-research

    An AI-powered research tool that automates the gathering of information from the web and local files to generate comprehensive, in-depth reports.

  • Project
    Nutlope/open-deep-research

    An AI-powered tool that generates comprehensive, sourced research reports by iteratively searching the web and synthesizing information.

  • Project
    zarazhangrui/follow-builders

    An AI-powered digest that tracks and summarizes content from top AI researchers and engineers, delivering curated technical insights to messaging apps via an AI agent.

  • Project
    ScholarXIV/OpenScholarXIV

    An open-source mobile app for finding, reading, and summarizing arXiv papers using AI-powered chat and summaries.

  • Project
    MadsLorentzen/ai-job-search

    AI Job Search is an open‑source, Claude‑Code‑driven CLI framework that automates the full job‑search funnel: it scrapes Danish (and some international) job boards, ranks postings against a structured fit rubric, drafts LaTeX CVs and cover letters, runs a reviewer LLM, verifies PDFs, checks ATS readability, tracks outcomes, and can sync to Notion or Gmail. Prerequisites include Claude Code, Python 3.10+, Bun, and a full LaTeX distribution. The repo provides detailed command definitions, portal‑scraper agents, and utilities for interview prep, skill‑gap analysis, and reporting.