Boosted.ai

Boosted.ai

Machine Learning Platform for Investment Managers.

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$15.0m

Late VC
Total Funding000k
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Boosted.ai is a cutting-edge artificial intelligence company that focuses on enhancing the investment decision-making process for institutional asset managers and wealth managers. The company operates in the financial technology (fintech) market, providing advanced AI-driven tools that help investors make more informed and data-driven decisions.

Boosted.ai offers a virtual AI companion that delivers advanced insights into market events, accelerates stock research, and improves portfolio management. The platform is highly customizable, allowing users to tailor it to their specific portfolios and investment universes. By analyzing existing holdings, risk profiles, and investing styles, Boosted.ai's algorithms make personalized recommendations to optimize investment strategies.

The company's primary clients are institutional asset managers and wealth managers who seek to combine micro (individual stock analysis), macro (overall market trends), and portfolio construction insights into one cohesive platform. Boosted.ai's technology trawls through hundreds of thousands of articles from over 60,000 news sources, as well as earnings reports and annual data, to surface the most relevant trends and insights for its users.

Boosted.ai's business model revolves around providing subscription-based access to its AI-powered platform. Clients pay for the service to gain access to Boosted Insights, which allows both fundamental and quantitative investors to save time, improve portfolio metrics, and make better, data-driven decisions. The platform's generative AI continuously digests new information, ensuring that users are always up-to-date with actionable insights.

In summary, Boosted.ai empowers financial firms by offering machine learning software that enhances productivity and investment decision-making. The platform's ability to provide accurate scientific modeling data makes it invaluable for constructing viable quantitative portfolios, whether through long-short strategies, factor-based approaches, or ETF baskets.

Keywords: AI, fintech, investment, portfolio management, institutional asset managers, wealth managers, stock research, personalized recommendations, data-driven decisions, machine learning.

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