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LPs targeted with ‘world first’ AI-powered diligence platform

Backers include founders of Point72-backed Acorns and Betterment, and creator of Google’s Quantum AI lab

by Jonathan Boyd
16 July 2025
LPs targeted with ‘world first’ AI-powered diligence platform
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Limited Partnerships (LPs) are being targeted by the public launch of Vantager, a service utilising AI agents to improve the way they analyse and use private market fund data.

Mason Lender, co-founder and CEO, and Nicolas Neven, co-founder and CTO (both pictured) state that unlike legacy systems, this has been positioned as an AI-first platform – covering data ingestion to report generation, and intending to create end-to-end workflow automation. Their respective past experience includes predictive modeling on GPs/managers and building M&A strategies at McKinsey & Company, and building AI-native, high-performance systems in the crypto and financial sectors.

Besides organising information better, Vantager is designed to facilitate discovery at key stages of the investing pipeline, the founders state, such as automatically highlighting discrepancies across LP agreements, key changes in staff including turnover, and misalignment or inconsistencies in terms. The software is supportive of endowments, foundations, private wealth managers, fund of funds, family offices, pensions, and sovereign wealth funds. Key benefits outlined include:

  • Centralise all data from GPs into a single, consolidated, and intelligent repository, whether the information be in research and diligence or within the portfolio.
  • For the first time, consider all touchpoints with a manager and not just siloed, pre- or post-allocation phases or within a portfolio.
  • Save on average 30 to 40 hours per report with built-in industry best practices across investment, operational, and legal diligence workflows.
  • Automatically generate reports and templates with AI-executed and expert-defined analytical workflows, including comprehensive investment memos and checklists that supplement or replace those painstakingly done manually by a seasoned analyst team.

Since inception, Vantager has processed several thousand funds and 50,000+ underlying investments while working with allocators representing over $100B in AUM.

Lender commented: “Allocators hold the blueprints to the future. They sit at the intersection of capital and innovation, architecting portfolios that shape industries, economies, and generations. With visibility across thousands of GPs and investment theses and indirect exposure to millions of underlying investments they’re positioned like no one else to design what comes next. But until now, their data has remained siloed and dormant. At Vantager, we’re unlocking that data, giving LPs the tools to not just observe the market’s evolution – but to actively shape it. With the ever-growing secondaries markets, it’s become paramount for all stakeholders to be active in not only pre-allocation diligence, but ongoing diligence. LPs and GPs need the tooling to support atheir ever-changing world. We’re laying the foundation for modernised data transfer and communication across the world that needs it most.”

Sam Ettelaie, co-Founder & CIO at Thema, commented: “Despite often backing cutting edge technology, LPs are often slow to adopt new tools themselves. Vantager is a game changer for forward thinking LPs building an AI ready tech stack. We’ve used it for over a year at Thema and see its value not just in diligence, but particularly in reducing the manual time spent on quarterly reporting. Vantager has helped us stay lean, deliver high quality reports to our investors, and spot traction in our underlying portfolio at the click of a button.”

Jeff Cruttenden, co-founder of Acorns, Say and Treasury, commented: “Public pension funds, sovereign wealth funds, and large asset managers – the kingmakers who really decide what is happening next in venture – have not had much innovation when it comes to the tools they’re using to make allocation decisions. Vantager is focused on the most critical part of the stack and how AI is going to revolutionise it.”

 

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