Canoe and Prime Buchholz partner
18 March 2025 UK
Image: stock.adobe.com/IRStone
Canoe and Prime Buchholz have partnered to launch Canoe Pro Tech: Asset Data PrimePlus.
The solution aims to provide integrated technology solutions from partners to enhance alternative investment data workflows.
The partnership combines Canoe’s document collection and data extraction capabilities with Prime Buchholz’s PrimePlus analytics platform to transform how investment teams analyse private market portfolios.
Tim Loughrey, head of client success at Canoe Intelligence, says: “For many teams, this manual aggregation process has become a significant operational bottleneck. We’re excited that now, using Pro Tech: PrimePlus, investment teams can automate the most laborious steps in this process — the gathering and structuring of raw data — and instead jump straight into analysis.”
Dan Ricci, head of information systems at Prime Buchholz, adds: “By combining Canoe’s data automation with PrimePlus analytics, we’re helping clients make faster, more informed investment decisions while dramatically reducing operational burden.”
The solution aims to provide integrated technology solutions from partners to enhance alternative investment data workflows.
The partnership combines Canoe’s document collection and data extraction capabilities with Prime Buchholz’s PrimePlus analytics platform to transform how investment teams analyse private market portfolios.
Tim Loughrey, head of client success at Canoe Intelligence, says: “For many teams, this manual aggregation process has become a significant operational bottleneck. We’re excited that now, using Pro Tech: PrimePlus, investment teams can automate the most laborious steps in this process — the gathering and structuring of raw data — and instead jump straight into analysis.”
Dan Ricci, head of information systems at Prime Buchholz, adds: “By combining Canoe’s data automation with PrimePlus analytics, we’re helping clients make faster, more informed investment decisions while dramatically reducing operational burden.”
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