Prophacite

Find who needs what you sell before they start looking

Sales

Analytics

Artificial Intelligence

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I built Prophacite because B2B intent data is broken and nobody was building the actual fix. Every platform I evaluated handed me recycled signals, outdated contacts, and "insights" I could have pulled from a press release. The whole market tracks who's already searching and calls it intelligence. By the time those signals fire, every competitor sees the same list. That's not an advantage. That's a race to the inbox. The real question was always what comes before the search. What conditions inside a company predict buying behavior months before anyone starts looking? That intelligence model isn't new. It could have worked years ago. But running it across hundreds of vectors and keeping it current required processing that no team could sustain manually. AI didn't invent this category. AI made it possible to operate at scale. That matters now more than ever. Cold email deliverability is declining. Cold calling converts less every year. Every outreach channel that used to work is degrading. When every touch costs more and lands less, you can't afford to spend them on companies that aren't ready. Targeting precision is the difference between pipeline and noise. Prophacite is the first B2B intelligence firm built entirely around pre-intent, the layer that sits upstream of every intent data platform on the market. Every engagement is custom-built. The output is a sourced, verified intelligence brief, not a dashboard, not a lead list. Three products cover the full lifecycle. Pre-Intent Intelligence finds future buyers. Pre-Diligence surfaces hidden risk before you commit capital. R.I.S.K. detects churn before contracts slip. I didn't build a competitor to Bombora, 6sense, or ZoomInfo. I built the next evolution of sales intelligence. Happy to answer anything about how it works.