Double

Double uses a GPT-based agent to research prospects across the web, answer qualification questions with cited sources, and return verified emails gathered from more than ten private data sources. It targets outbound sales teams that need qualified, contactable lead lists at volume.

Double is an AI research and lead enrichment tool built for outbound sales and marketing teams. Instead of opening a browser and manually checking each prospect, users hand the work to a GPT-based agent that searches the public web and returns sourced answers. The homepage frames the product around a simple shift: stop Googling leads one by one and let AI answer the qualification questions at scale. The research layer is the core of the product. Users pose plain-language yes or no questions about a company, such as whether it is remote-first, SOC II compliant, B2B, marketplace-based, or building an API or mobile app as its primary product. Double then researches thousands of prospects at once and returns responses with citations. The homepage shows an example about whether GOAT operates a call center, answered with references to the company's own support pages. That citation habit matters, because it lets a rep check the reasoning before acting on it. Alongside research, Double handles contact data. It aggregates more than ten private data sources to surface verified emails, and positions that coverage as broader than Apollo and RocketReach. A results table in the homepage demo pairs each prospect name with a LinkedIn handle and a verified email address. The intended output is a qualified, contactable list that feeds targeted outbound messaging, which the company says converts better than generic campaigns. Sales development teams, growth marketers and agencies running prospect research at volume are the obvious audience. Double competes in the same arena as enrichment platforms like Apollo and RocketReach, but its differentiator is the question-answering research agent rather than a static database filter. The homepage does not publish pricing, plan tiers, integration details or a support policy, so buyers should confirm those directly. The tool is aimed at teams already running outbound and looking to cut manual research time, not at casual users who need a handful of contacts.