Boosted.ai

How does a lean hedge fund team track over 1,500 stocks without expanding headcount? At Gratia Capital, the answer was Boosted.ai. With agentic AI, their team accelerated research, monitored 100% of key catalysts, and prioritized ideas faster.

Investment managers - are your teams spending countless hours on stock research? Boosted.ai scales and streamlines research. Read our case study to see how a wealth manager increased stock coverage from 500 to 2,000 stocks per quarter and cut research time by 60%.

Investment teams know that embracing AI is becoming a necessity to stay ahead of the curve, but effectively adopting complex solutions can be difficult. In this guide, we'll show how leading investment firms are building scalable AI strategies—starting with practical, low-friction steps.

For institutional investors, AI is becoming non-negotiable. However, many investment teams still aren't sure how they can apply AI to their investment process. That's why we wrote our Introduction to Machine Learning for Asset Management white paper. Read on to learn more about AI and ML, why they are so challenging to put to use in capital markets, and how our algorithms solve those problems.

Investment managers, don't let misconceptions stall your team's AI strategy. Understand what actually works for institutional portfolios.

Investment managers, want to see how apps like ChatGPT can help your investment process? Read our latest post to learn more. We also break down some of the differences between language models and finance-specific AI.