Clean

Sales teams rely on intent data platforms that guess who is in-market from ad clicks, page views and content downloads, or on contact databases like Apollo that just list people without context. Tools like Clay require an ops engineer to build and maintain. This leaves sales teams either buried in noisy signals or stuck doing manual research to figure out which companies actually have a reason to buy right now, and who at that company owns the decision.

Clean reads a company's site and documents to learn what it sells and who buys it, then watches real-world records about the market, including customs shipments, building permits, loans and supplier switches, to find companies showing signs of a buying trigger. It lines up multiple dated records (for example a loan, then a permit, then a shipment) until they add up to a coherent reason to buy, such as a new production line being installed. It then names the specific people who own that decision, like a VP of Operations or plant manager, with verified email and phone, and shows a warm introduction path where available. Prospects and the evidence behind them sync into existing tools through integrations with LinkedIn, Gmail, HubSpot, Granola, Attio and Instantly.