Congrats on the project!

Here’s an idea to monetize it: implement collaborative filtering (example: funds in rows, assets in columns).

Once you do it, you will be able to cluster similar funds. Let’s say X funds have the asset A, but Y funds do not have it, and X and Y belong to the same cluster. Thus, if you recommend asset A to the Y funds, there’s a high probability they’d add it to their portfolio (if property pitched). This is roughly how Netflix recommends movies, Spotify recommends songs, etc.

A lot of players in the industry would pay high $$$ for a recommender system like that. And you already made 80%: it’s only missing the final machine learning part (which is the fun part :))