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Fintechs Latest Trend AI Agents For Investment Research

April 11, 2025•Jeff Kauflin•Original Link•3 minutes
Fintech
AI
Investment

Companies of all sizes ranging from trading app Robinhood to 10-person New York startups are now using AI to speed up and improve investment research.

Companies of all sizes, ranging from trading app Robinhood to 10-person New York startups, are now using AI to speed up and improve investment research.

George Sivulka, founder and CEO of Hebbia Hebbia

For all the fast adoption of artificial intelligence tools in so many facets of business, AI’s entrance into fintech applications has been slow so far. That’s largely due to regulatory and compliance hurdles related to handling people’s money, industry experts say. To date, most AI features in fintech have focused on speeding up functions like customer service, accounting and other back-office operations, with companies ranging from Klarna and Chime to Stripe and Ramp announcing new AI products. Now a new trend in fintech is emerging: using AI for deep investment research.

Many companies wading into this space are using AI agents—code that can understand contextual information, make logical decisions and take actions. Agents can perform tasks like making investment recommendations or creating draft PowerPoint presentations. Just over the past month, trading app Robinhood and Arta Finance, a startup that aims to be a digital “family office” by giving wealthy consumers access to alternative investments, have announced new consumer-facing AI features. An even larger set of emerging companies, nearly all of which seem to be based in New York, are using AI to speed up research for investment bankers and investors. They include outfits like AlphaSense, Hebbia, RavenPack and Rogo.

It’s hard to tell which of these businesses will live up to their promises and hype. Most are early-stage startups, and the venture capital frenzy for AI companies is still in full swing, making it even more difficult to predict which will build durable businesses. But they’re all addressing labor-intensive tasks where improvements are long overdue.

Key Players in AI-Driven Investment Research

  • Hebbia: A five-year-old New York company that uses AI to help financial institutions, law firms and other large companies speed up their research. It raised $130 million in funding last year at a $700 million valuation.
  • AlphaSense: A 14-year-old financial data company with 6,000 customers, also uses AI agents to help analysts with preparing pitches, conducting due diligence research and analyzing markets.
  • Rogo: A 40-person, three-year-old New York startup with 40 customers and more than 5,000 active end users. It was valued at $350 million in a March fundraise.
  • RavenPack: A 22-year-old New York company whose primary business is using data analysis of news and regulatory filings to identify market-moving events for financial institutions.

Consumer-Facing AI Features

  • Robinhood: Announced Cortex, a new AI tool for investing that it will launch later this year to customers who pay for its premium Gold service.
  • Arta Finance: Announced Arta AI, which will launch in “mid-2025” and makes personalized investment suggestions.

Have a story tip? Contact Jeff Kauflin at jkauflin@forbes.com or on Signal at jeff.273.

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About the Author

Alex Thompson

Alex Thompson

AI Technology Editor

Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.

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