For an MES team, Clean answers one question: which plants have a real reason to buy, and why. Under that sits a database of more than 4,000 catalogued early signs spread across the 14 buying moments. By Clean's own scoring, roughly 7 in 10 of them are precise enough to identify the actual machine, program or deadline. Clean also maps more than 140 typical chains of events; for a scheduling seller, those chains show which change at a plant tends to bring on the next.
Every plant gets its own dated timeline, and Clean runs a temporal graph network over it. For an MES seller the order is the point: a new customer program, then a first scheduler hire, then an added shift can read like a project; any one alone says much less. When a plant lands on your list, the case for calling carries a date, the supporting evidence, whatever else might explain it and what would prove it wrong. Gaps Clean can't confirm stay marked unknown instead of being filled in. Before any plant reaches you, the look-alikes are gone: one-person operations, contractors and repair shops.
Clean doesn't send anything; your team reaches out. The details are in how Clean works. Book a demo; before you hang up, Clean will have assembled a live list of plants matched to your MES or scheduling product.