Our Story

The spark

We are a small investment team, constantly exploring quantitative signals to enhance investment results. We believe hard data — prices and macro — are essential but not perfect given its inherently backward-looking nature. Soft sentiments — what the markets are saying, debating, and fearing — can be messy yet it often hints at what might happen next. Our goal is to bring these worlds together with discipline.

The problem we saw

High-quality “soft” market insight isn’t neatly structured or easy to access at scale. It often is scattered across research notes and interviews. It’s time-consuming to track, hard to quantify, and easy to miss. Institutions feel the noise. Individual investors feel the overwhelm.

An unexpected by-product

As we used AI to gather, structure, and label curated daily market narrative for our own quant models, something useful emerged on its own: a living library of market insight, which became the base for our chatbot.

From a living library to vTI

Feeding this continuously growing knowledge into large language models, we built vTI (vTalkInsight) — an intelligent chatbot that digests vast amount of daily market insight, connects ideas horizontally (across sources) and vertically (through time), and surfaces what matters now with context.

Where we are today

vTI is new and its historical coverage is still growing. It improves every day as we add knowledge and refine our models. We use it internally to monitor themes, spot shifts in risk appetite, and support commentary writing. We’re now opening it to friends and partners who may find it a helpful bot in their own research workflow.