For teams that sell into plants, Clean's job is to say which accounts have a real reason to buy and why. It splits a plant's life into 14 buying moments, and a new customer program is one of them. Out of the 4,000-plus early signs Clean's research has catalogued across all 14, more than 350 belong to this moment. In the full catalogue, roughly 7 in 10 signs get down to the actual machine, program or deadline involved, by Clean's own scoring.
Clean doesn't see scorecards. Nobody outside the plant and its customer does. Clean looks for the moves a plant makes around a new program, at the specific site where the work happens: a certification pursuit in a new industry, a first hire in a new function like a dedicated quality manager, new equipment investment in inspection, a capacity expansion. When two or more of those land at the same plant within a short span, the plant may be running a project rather than making a one-off purchase. Seeing that early is the point: you can reach the plant while its buying decisions for the new program are still open, often before the company has said anything in public.
Clean records each plant as a string of dated events, which a temporal graph network reads end to end, because the order of a plant's moves around a new program, and the gaps between them, say more than any single move. Each reason to reach out arrives with a date and its evidence, the other explanations that could fit (a certification renewal, not a new one; a replacement hire, not a new role) and what would knock it down. If Clean can't confirm something, it stays labeled unknown, and look-alikes (repair and service shops, contractors, one-person operations) are filtered out before a seller sees them. See how Clean works and all manufacturing buying signals. Or book a demo: Clean will line up a live list of plants for what you sell before the call is over.