AI-native
autonomous Investment research workflows
Pascal is building an intelligent platform that automates investment research workflows, redefining how private equity firms, asset managers, and institutional investors make decisions. With a long-term vision of scaling workflow automation to full autonomy, Pascal is setting the foundation for the future of investment research.

Global Asset Management Industry $128T in AUM
Actively managed funds $65T in AUM
Partner since Seed, 2025

Why Did Kalaari Invest in Pascal Ai
In the 1960s, Eugene Fama developed the Efficient Market Hypothesis (EMH), which argues that financial markets are informationally efficient—meaning asset prices always reflect all available information. As a result, consistently achieving excess returns (alpha) is theoretically impossible, as any new information is rapidly incorporated into prices.
Yet, despite EMH, top money managers continue to outperform the market by exploiting inefficiencies and price-value anomalies. However, in today’s era of high-frequency trading (HFT) and quantitative investing, these alpha-generating opportunities are vanishing faster than ever. The key differentiator for funds is no longer just identifying inefficiencies but exploiting these short-lived information asymmetries with speed and precision.Read more