We are Brain Company, a research-focused firm established in 2019, dedicated to developing proprietary datasets and algorithms specifically designed for investment strategies in the financial sector. Our core technology revolves around a customized Large Language Model tailored to analyze financial data, including sentiment analysis of news in equities, cryptocurrencies, and commodities, as well as summarizing earnings calls and classifying thematic baskets.

Our advanced machine learning tools enable us to make statistical predictions on market targets such as asset returns. By utilizing ensemble models and sophisticated feature engineering, we calculate probabilities over a range of market scenarios, thereby supporting the creation and refinement of investment portfolios both for proprietary use and third-party clients.

Brain Company also specializes in clustering algorithms combined with dimensionality reduction techniques to extract meaningful insights from diverse data sets, such as categorizing company documents by topic or analyzing historical market day patterns. This approach enhances our ability to deliver actionable intelligence to investment professionals.

To ensure robustness and reliability, we have developed a proprietary backtesting and validation framework that reduces dependence on specific historical market trends and optimizes model performance. This system can also be adapted for testing and improving external models.

Led by experienced professionals with backgrounds in computational physics and AI-driven quantitative investing, we collaborate closely with investment management firms to support the development of their proprietary algorithms. Our focus is on delivering innovative AI solutions that drive better-informed financial decisions and strategies.