Pulling Back the Curtain on Reflective Reasoning in AI for Finance
How Charli’s Deep Analysis unlocks real reasoning in the high-stakes world of capital markets
Our team inside Charli AI Labs are obsessive about pushing the boundaries of AI to deliver real reasoning in some of the most complex environments.
Today, they're giving us a sneak peek behind the scenes. Specifically, they're lifting the lid on one of the most powerful features within the Multidimensional AI™ platform: Deep Analysis powered by a Reflective Reasoning Engine.
This isn’t consumer-grade “deep analysis” you might find in general-purpose tools or even within OpenAI's latest offerings. This is something fundamentally different—a reasoning method built on an Adaptive Agentic AI architecture designed and optimized for Finance—where reasoning, dynamic context expansion, on-demand retrieval, and adaptive analysis are critical.
When you ask a question in Charli, you can easily enable Deep Analysis with a simple switch. That’s when the magic starts. The AI doesn’t just fetch or summarize—it thinks. It paraphrases your question, decomposes it, builds a reasoning plan, and maps out how it will answer. Even the simplest questions can trigger sophisticated reasoning paths.
From there, the Reflective Reasoning Engine takes over—iteratively analyzing nuanced signals, dynamically pulling in new information as needed. It balances fundamentals and sentiment, adapts to shifting emotional signals in markets, evaluates calculations, invokes complex formulas, and runs crossfactual reference checks to validate its outputs—all automatically.
Yes, it takes time—sometimes several minutes, running across high-end GPUs—but you’ll understand why when you see what it delivers. This is not trivial inference. It’s deep, reflective, and designed to surface the kind of answers human analysts spend hours or days deriving.
And yes—it’s patent pending.
👉 The best part? If you’re a Charli subscriber, you can head over and see for yourself what Deep Analysis can unlock.