Boosted.ai, a prominent provider of AI-powered investment research solutions, has introduced Alfa, its next-generation agentic AI platform designed to enhance how asset managers interact with financial data and insights. The new platform is engineered to anticipate, analyze, and act in ways that align with investor decision-making processes.
Alfa’s core functionality centers on proactively surfacing relevant information, adapting to user thought processes, monitoring specific data points, and providing contextual, accurate guidance. It features a learning mechanism that refines generalized recommendations into “agents”—smart assistants capable of understanding user goals and executing tasks on their behalf. These agents predict user needs, aiming to deliver insights before explicit requests are made. Joshua Pantony, CEO of Boosted.ai, stated, “Alfa is the culmination of everything we’ve learned about how asset managers want to work with AI. It’s fast, powerful, and most importantly, it’s agentic. That means it works on your behalf, behind the scenes, to find the insights in the noise. This is what the future of AI in finance looks like: research and ideas delivered before you even ask.”
The platform supports critical daily workflows for investment teams. For key data extraction, Alfa can quickly identify peer groups, extract relevant key performance indicators (KPIs) such as margins, multiples, and segment revenue directly from financial filings, and provide full citations. This aims to enable users to dedicate more time to analysis, ensure accuracy in reported figures, and identify trends rapidly. Additionally, Alfa’s email monitoring feature processes incoming communications to highlight relevant updates, documents, and disclosures pertinent to a portfolio, automatically categorizing and prioritizing information to ensure users are informed without being overwhelmed.
This release includes several enhancements designed for both enterprise and individual users. Smart onboarding configures Alfa based on a user’s role, workflows, and tickers of interest. New Home and Discover views offer a centralized feed for reports, updates, and shared work. Voice and text-enabled reporting automates the creation of financial reports, with Alfa suggesting follow-ups, visual layouts, and estimated compute usage. Users also gain knowledge control capabilities, allowing them to upload documents, set watchlists, and personalize Alfa’s memory and data sources. The platform further incorporates intuitive navigation, report redlining, new APIs, and team-level permissions to meet the demands of modern investment operations.
Boosted.ai has also adjusted its adoption model for Alfa to remove traditional barriers. Users can now sign up directly through the company’s website. Key features are accessible without a paid account, allowing prospective users to experience the platform’s capabilities before committing. Pricing and feature selection are self-directed and managed within the application.
Boosted.ai, co-founded by Joshua Pantony, Jon Dorando, and Nicholas Abe in 2017, provides analytics across millions of data points through macroeconomic, microeconomic, and portfolio construction lenses, aiming to deliver efficiency gains for asset managers. Its proprietary web-based platform, Boosted Insights, enables portfolio managers to leverage advanced quantitative investing techniques without requiring coding or data science expertise. Headquartered in Toronto and New York City, Boosted.ai is supported by investors including Portage Ventures, Ten Coves Capital, and Spark Capital.
