Boosted.ai

Boosted.ai is how investment managers work smarter. Generative AI built specifically for capital markets provides analytics across millions of data points, through a macroeconomic, microeconomic and portfolio construction lens, giving asset managers the actionable insights they need. Twitter @BoostedAI

https://boosted.ai

51-200 employees

Growth Trajectory

Boosted.ai has strong growth potential through expanding the capabilities of its AI platform (Boosted Insights and Alfa™), focusing on new product development such as AI-powered hedge baskets and portfolio optimizers, and targeting market expansion by offering solutions for new asset classes like fixed income and cryptocurrencies. Series B funding and partnerships like the one with SS&C indicate ongoing investment and market validation, suggesting further expansion into the global investment management space.

Technical Challenges

Building and maintaining a central repository of machine learning knowledge.

Ensuring explainability and transparency of AI models to gain user trust.

Managing large datasets and processing large amounts of information in real-time.

Integrating AI solutions into existing investment management workflows and systems.

Optimizing AI signals and algorithms for maximum performance and accuracy.

Tech Stack

Artificial Intelligence (AI)Machine Learning (ML)Natural Language Processing (NLP)Large Language Models (LLM)Generative AI

Team Size

Research & Development

Software Engineering

Key Risks

Reliance on third-party data and software may pose risks if these services become unavailable or change their terms.

Adoption of AI by asset managers may face resistance due to lack of trust or understanding of AI-driven insights.

Intense competition in the AI-driven investment management space could put pressure on pricing and market share.

Regulatory and compliance requirements for AI in finance are evolving and may create challenges for ongoing operations.

Machine learning models are probabilistic and may produce incorrect outputs that do not accurately reflect real-world conditions, affecting the investment advice inferred.

Opportunities

Further development of agentic AI capabilities within the Alfa™ platform can enhance workflow automation and deliver more proactive insights.

Expanding the integration of alternative data sources can provide more unique and valuable signals for investment decision-making.

Offering AI solutions for new asset classes like fixed income, foreign exchange, and cryptocurrencies can tap into new markets and revenue streams.

Partnering with more data providers and technology vendors can broaden the platform's capabilities and reach.

Improving explainability and transparency of AI models can increase trust and adoption among asset managers.

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