Quantitative Private Equity.
We seek to fundamentally disrupt the way private equity investing is done with systematic investing strategies using machine learning technology as more and more investors are shifting to alternative investments to boost returns, generate income, provide diversification from traditional investment and seek outperformance.
Access to quality opportunities
Our systematic quantitative VC/PE fund targets new asset classes, mostly Artificial Intelligence-driven startups, and uses machine learning technology to evaluate them for our portfolios. Our alternative investment team, with insights from our 25 plus professionals spread across 15 offices in 12 countries, expect to buy minority stakes in about 35 AI-driven companies.
Greater transparency
We use quantitative methods to help build strong portfolios. We’ve built an algorithm to monitor hundreds of risk factors daily across the companies we track to understand and predict their success.
An integrated view
Our machine learning platform technology tracks daily change in data of approximately 3,500 AI-driven companies across the global market, i.e. North America, G7 countries and China, to identify breakout brands in the private market that the firm will back with venture capital.
A new standard of alignment
We invest in AI-driven companies with $1 million to $20 million in revenue that typically are growing more than 100 percent a year, with negative earnings before interest, taxe, depreciation and amortization because they are re-investing the money on growth. The fund anticipates holding the portfolio companies for about seven to ten years before exiting those investments, most likely through a sale.
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