vTalkInsight began as an internal effort to make sense of market narratives more systematically.
Our investment process already used traditional market data, price signals, and quantitative tools. But we also saw that markets often move because interpretation changes. The same data can be read as bullish in one regime and bearish in another.
To study that interpretation layer, we built an AI pipeline to read, structure, label, and track market commentary through time. The original goal was to support our own investment process. The unexpected by-product was a growing knowledge bank of market views.
The AI Research Assistant was built to make that knowledge bank usable through conversation.