Every research team we sit with has the same models we do. A model will read anything you hand it, and it has no idea what to hand itself. Ask which names you cover trace back to the same supplier, or which of your positions carry the exposure that just repriced, and the hard part is knowing where to look.

We built a continuously evolving market map that gives AI a connected layer to understand how everything fits together. It tracks which suppliers affect margins, which broker estimates connect to your research, and which footnotes move which numbers. That relationship layer is what we call ontology.

One managing director, with forty years in sell-side research, used to spend three weeks on a single initiation report. Most of that time went to rebuilding the links between a company, its key insights, and everything that touches it. He can start without having to learn or find those links himself. That is the vision: a connected layer that helps investment professionals focus on what matters most and go deep into the data efficiently. When a supplier pushes margins down, the change travels across every name it touches, often revealing the one nobody thought to check. You still make the call but AI handles the tedious part.