Private Equity Originator
PE-CC is an AI-powered deal-origination platform for private equity: it discovers, researches, scores and tracks a universe of independently-owned companies against a configurable investment mandate, then runs the origination workflow from first signal to first meeting.
PE-CC turns deal origination from a manual research grind into a repeatable pipeline. You define who you are as an investor — size box, geography, sector focus, ownership preference, scoring weights — as a firm profile, and define where to hunt within it as market maps. Research runs then execute server-side against the Claude API, using web search alongside primary sources the app queries directly: Companies House for the UK, and the national registers of Norway, France, Finland, Czechia and Ireland, each normalised to one shape that states plainly what it does not publish, so a missing director list never reads as a company without one. Candidates surface into a review queue, are scored against an eight-dimension fit rubric, and rank on fit against timing — where timing comes from monitored trigger events: new filings, officer and PSC changes, founders approaching retirement, accounts falling due. From there it is a CRM built for the job: contacts, interactions, an adviser network, outreach stages, an origination funnel, and a printable weekly partner pack. Every AI call is metered, capped and attributed, and models are assigned per task — including local models through Ollama, which cost nothing at all.
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