Boosted.ai provides an AI-driven platform that automates investment management by utilizing proprietary algorithms for stock selection and large language models for comprehensive research analysis. This technology addresses the challenges of data overload and time constraints faced by investment managers, enabling them to make informed, data-driven decisions while improving portfolio metrics.
Funding
$61M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Investment managers face challenges in processing vast amounts of data and conducting comprehensive research within limited timeframes, potentially leading to missed opportunities and suboptimal portfolio performance. The need to stay ahead of market trends and make informed decisions requires efficient tools for data analysis and stock selection.
Solution
Boosted.ai offers an AI-driven platform, Alfa, designed to automate and enhance investment management processes. The platform utilizes proprietary algorithms to identify promising stocks and large language models to analyze news, earnings data, and company filings. By automating research and monitoring tasks, Alfa helps investment managers save time, incorporate more data, and make data-driven decisions. The platform is customizable to specific portfolios and investment styles, providing personalized recommendations and insights.
Target Audience
The primary customers are institutional asset managers and wealth managers seeking to improve portfolio metrics, save time on research, and make better data-driven decisions.
Features
- AI Stock Picker: Employs proprietary algorithms to evaluate and rank stocks based on various variables.
- AI Stock Research: Leverages large language models to summarize relevant information from news sources, earnings data, and company filings.
- Portfolio Workspaces: Allows customization based on existing holdings, risk profiles, and investment styles.
- Trend Analysis: Identifies market-moving trends by analyzing news articles, earnings reports, and other data sources.
- Portfolio Health Scores: Provides alerts and scenario analysis to monitor and adjust portfolio risk metrics.
- Web Crawling: Monitors data on any webpage and provides updates as the data evolves.
- Integration with a vast network of data providers to ensure AI agents are able to create insights across qualitative and quantitative metrics