In Chapter 01 of Building the Alternative, we established that private markets is an industry at odds with its own growth – the operational model is buckling under the weight of its own ambitions. To unlock the full potential of AI, it needs to understand the domain as deeply as the humans who run it.

In Chapter 02, we look at how to achieve this.

Fund and client operations are the part of the industry most in need of scale, and yet are the least automated. The reasons are structural. This is a domain where data is low-quality and siloed, tolerance for error is close to zero, and the workflows require a depth of operational knowledge that has never been formally encoded anywhere.

Moving from AI as a workflow assistant to AI as a true operational actor requires building the intelligence layer from the ground up. This is not just a data problem. It is an operational knowledge problem, which demands a fundamentally different approach.

Read more to find out how Vega is building the private markets ontology.