Boosted.ai

Boosted.ai is an artificial intelligence company focused on transforming investment research through machine learning, financial data analysis, and AI-powered research agents. The company develops Alfa, an investment research platform designed to help individual investors, analysts, portfolio managers, wealth management firms, asset managers, and financial institutions monitor companies, investigate market developments, and make more informed investment decisions.

Founded in 2017, Boosted.ai has spent several years developing machine learning technology for financial institutions, including banks, brokerages, and asset management firms. Its experience in investment technology has shaped the development of Alfa, which brings together company monitoring, financial research, automated analysis, and source-linked reporting. The platform is designed to address a common challenge in financial research: important information is published continuously, but investment professionals often have limited time to locate, review, and interpret every relevant development.

Alfa is the central product in the Boosted.ai ecosystem. It uses AI agents to monitor companies, portfolios, industries, and financial markets. These agents investigate material events and prepare research briefings that explain what has happened, why it may matter, and which companies or investment strategies could be affected. Rather than requiring users to repeatedly search through news articles, filings, and other financial documents, Alfa aims to bring relevant information directly into their research workflow.

One of the platform’s major capabilities is continuous investment monitoring. Users can add companies, holdings, and investment strategies that they want to follow. Alfa then monitors relevant developments and identifies changes that may affect their investment interests. These developments can include corporate filings, earnings announcements, management commentary, market news, and other material events. Position-aware alerts help users understand not only what has changed but also how the development may relate to their holdings.

The platform also provides structured research briefings. When a relevant event occurs, Alfa can generate a summary containing the important information and supporting evidence. These briefings are designed to reduce the time spent reading large volumes of material while helping investment professionals maintain awareness of developments across their coverage universe. Users can investigate the underlying sources and examine the reasoning behind the information presented.

Source traceability is an important part of Alfa’s approach. Financial research requires reliable evidence because decisions can have significant consequences. Alfa is designed to link its conclusions to supporting financial information and source documents, allowing users to inspect the evidence behind individual claims. This makes it easier to question an AI-generated conclusion, review the original context, and conduct additional analysis before making an investment decision.

Another capability is conversational financial research. Users can ask questions about companies, portfolios, financial developments, and investment themes. Instead of starting a new research process for every question, they can use the platform to explore information, request comparisons, investigate scenarios, and develop more detailed research. Alfa can support the progression from a straightforward question to a more comprehensive investment memo while retaining the relevant research context.

For investment analysts and portfolio managers, Alfa Pro provides tools for monitoring a broader coverage universe. Analysts often follow several companies within the same sector, compare competitors, and evaluate how developments affect their investment views. Alfa Pro is designed to help them monitor these companies and receive structured, source-linked research when relevant events occur. This can support research preparation, company coverage, and ongoing portfolio monitoring.

Alfa Prime is designed for institutional investment teams. One of its distinctive capabilities is a multi-model AI investment committee. Different AI agents take opposing positions, including bull and bear perspectives, while another agent moderates the discussion. These agents assess an investment idea against the organisation’s criteria and produce a research memo with supporting citations and a conviction score. The objective is to encourage structured examination of an investment thesis by considering both positive and negative evidence rather than relying on a single AI-generated opinion. Availability may depend on the institutional arrangement or product rollout.

Boosted.ai also provides Alfa Powered for brokerages and financial platforms. This product allows organisations to embed conversational research, dynamic reports, and portfolio monitoring into their own products under their own branding. It is intended for financial institutions that want to provide clients with more personalised research experiences without developing an entire AI research infrastructure independently. By integrating Alfa-powered capabilities, brokerages and investment platforms can give their users additional ways to explore companies and understand market developments.

For developers and technical teams, the Alfa Platform provides financial research infrastructure, APIs, and Model Context Protocol-ready connectivity. The platform is intended to support the development of financial applications, AI agents, and automated research systems. Instead of building separate monitoring and research systems from the beginning, technical teams can use the underlying financial event infrastructure and agent capabilities to support their own applications. This makes Boosted.ai relevant not only to investment professionals but also to fintech companies and organisations developing financial technology products.

Idea discovery is another part of the platform’s value. Investors frequently look for opportunities connected to particular industries, economic developments, and emerging themes. Alfa can help users identify companies and developments associated with the subjects they follow. By monitoring a broad collection of financial sources, the platform aims to surface information that may otherwise be missed during routine research. This can help users investigate new investment ideas and understand how developments in one part of the market may affect another.

The platform is also designed to support ongoing research rather than isolated questions. Traditional research workflows can involve collecting information, writing reports, reviewing findings, and distributing updates at different intervals. Alfa aims to make this process more continuous by monitoring developments and preparing research as new information becomes available. This can help investment teams maintain more consistent company coverage and respond more quickly to important events.

Security and data protection are important considerations for financial organisations adopting AI technology. Boosted.ai’s public website states that client data is not used to train its AI models and that teams can control which users, sources, and research environments are available. The company also provides a dedicated trust and security portal where prospective customers can review its security and compliance information. Organisations should consult that portal and request relevant documentation to confirm the specific controls, certifications, hosting arrangements, and contractual protections applicable to their proposed deployment.

Boosted.ai serves several segments of the financial industry. Individual investors can use Alfa to follow companies and investment strategies. Analysts and portfolio managers can use Alfa Pro to monitor coverage and prepare research. Institutional teams can use Alfa Prime for more structured investment discussions, while brokerages and financial platforms can use Alfa Powered to deliver research capabilities to their customers. Developers can explore the Alfa Platform for financial data and AI infrastructure.

As with other AI-powered financial research systems, Alfa should be treated as a decision-support tool rather than a substitute for independent financial analysis. AI-generated summaries, comparisons, and investment memos should be checked against their cited sources. Users should also consider market risks, the quality of available information, and their organisation’s investment policies before acting on research findings.

Overall, Boosted.ai is building an AI research environment that connects continuous market monitoring, financial information, specialised agents, conversational research, and automated reporting. Its Alfa product family is designed to help investors and financial organisations move from manually gathering information towards a more continuous and evidence-based research process. By making financial developments easier to monitor, investigate, and explain, Boosted.ai aims to help investment professionals spend more time evaluating opportunities and less time searching for information.