About IAPD

We believe the ability to follow U.S. financial-system change should be broadly accessible, not limited to teams with the largest data budgets. Investment manager disclosures contain high-value signals, but most people cannot consume them quickly enough to use them in real decisions.

IAPD uses AI to transform complex filing information into workflows that are easier to search, compare, and explain. Our goal is to make market intelligence legible so users can understand what changed, why it matters, and where to focus next.

Over time, we are building a system where allocators, managers, and GTM teams can all operate from the same current picture of the market, with better clarity and faster feedback loops.

The product is organized around practical research surfaces: firm table exploration, mapping, AI-assisted chat analysis, and material-change tracking. Each surface is designed to reduce time spent gathering context and increase time spent making decisions.

We focus on consistency across views so teams can move from discovery to diligence without switching mental models. The end state is a dependable intelligence environment for understanding investment manager behavior as it evolves.