The "Hallucination" Tax in Fintech In the race to build the biggest LLM, we’ve overlooked a critical flaw: Generative AI is a probability engine, not a calculation engine. For most users, a chatbot is simply a shortcut to data. When an investor asks, "What is my 1-year expected return?" , a +/- 2% "hallucination" isn't a minor quirk—it's a financial liability. This is why we built RIIA (Risk Informed Investment Approach) using a deterministic, local-first architecture. Read more about the project here We traded generative creativity for mathematical certainty. The Architecture: Semantic Routing Instead of sending raw text to a massive model in the cloud, RIIA uses a three-layer local pipeline : The Brain (Sentence Transformers): We use all-MiniLM-L6-v2 to map user queries to one of 20 predefined "Investment Intents." By setting a confidence threshold (0.42), we ensure the system only answers when it is certain of the user's goal....
In the fast-paced financial world, investors face a constant barrage of challenges: massive amounts of raw data, sudden market volatility, and the psychological hurdles of greed, fear, and FOMO (Fear of Missing Out) . . This becomes a perfect use case to build data science model around proper risk management and then make it accessible through Agentic AI approach. This also helps great deal with keeping emotions out of the game and focus on quantitative signals. Risk Informed Investment Approach (RIIA) is designed to cut through such noise, offering an risk information platform that prioritizes positive sharpe ratio and restrict maximum portfolio drawdown. Project Goal : Consistency Over Chaos The primary business goal of RIIA is to minimize risk while maintaining steady performance . To measure success, the project focuses on two key financial metrics Sharpe Ratio: Targeting a return factor over the risk-free rate of greater than 1 Maximum Drawdown: Keeping portfolio losses belo...