Double

Double is an AI-powered platform designed to automate the process of researching and qualifying sales leads. Instead of manually searching for information about prospects across different websites, users can input a list of leads and let Double leverage GPT-based agents to crawl the internet, gather relevant data, and answer specific questions about each company or contact. The core functionality revolves around three main actions: cleaning lead lists (removing duplicates, correcting formatting), enriching missing data fields (like company size, industry, tech stack), and qualifying leads based on customizable criteria. Users define their own research questions—such as “Is this company remote-first?”, “Are they SOC II compliant?”, “Is it a B2B business?”, “Does their product use an API as the primary offering?”, or “Does the company operate a marketplace that processes payments?”—and Double automatically searches across public sources including company websites, LinkedIn, Crunchbase, news articles, and social media to return concise, structured answers. This eliminates hours of manual Googling and spreadsheet copying. The platform also supports batch processing: users can upload hundreds or thousands of prospect rows (names, company URLs, email domains, etc.) and have Double research them all simultaneously. For each lead, the tool extracts real-time signals such as recent funding news, hiring patterns, technology usage, and compliance certifications. The output is a clean, enriched CSV or integration-ready data feed that can be pushed into CRM systems like Salesforce, HubSpot, or custom databases. Beyond basic enrichment, Double offers a “watch demo” feature that shows a 1-minute video walkthrough, and a “get started” flow that guides users through connecting their lea