The latest Forbes article on fintech’s AI revolution–particularly the trend of AI agents analyzing and summarizing investment research–is an insightful read. It’s clear that the space is evolving fast, and there are some interesting players emerging. But while many of these companies are riding the wave of generative AI, there’s a fundamental difference between what they do–and what we do at Aisot Technologies.
Most of the fintech AI tools highlighted in the article center on automating investment research through natural language processing (NLP). These tools scrape reports and news, summarize earnings calls, and condense analyst opinions–essentially transforming scattered human insights into concise, digestible content. It’s efficient, and it definitely saves time.
However, there’s a key distinction between generating automated summaries and actually building a sustainable financial edge. While NLP is undeniably powerful, it represents just one part of a much larger picture.
That’s where predictive AI comes in. Unlike NLP-driven tools that primarily reflect the past, predictive AI looks ahead. It uses advanced machine learning, real-time market data, and forecasting models to deliver insights that are not only intelligent–but actionable.
In short, NLP-based AI tells you what happened. Predictive AI helps you understand what’s likely to happen next.
At aisot, we’re not echoing the past. We focus on anticipating where the market might be headed next. We do this by using
The excitement around AI in finance is well-deserved. But the next big leap won’t come from companies that simply automate reading. It will come from those who help you see around the next corner.
If you're a qualified investor exploring how AI can provide a competitive edge—not just save time—schedule a demo today to learn more.
Read how our AI-powered balanced test portfolio made timely strategic shifts just ahead of the market turbulence on April 2nd, following President Trump’s announcement of "Liberation Day."