A Moat Made of Mathematics
What I find compelling about these companies is the sheer stickiness of their business models. Once a bank integrates FICO scores into its entire lending process, or an insurer builds its risk strategy around Verisk’s data, the cost and hassle of switching to a competitor become enormous. It’s like trying to change the foundations of a house while you’re still living in it.
This creates a powerful competitive advantage, a moat built not of water, but of complex algorithms and decades of accumulated trust. They often operate on subscription or licensing models, providing a steady, predictable stream of revenue. In fact, the more uncertain the world becomes, the more their clients need their services to make sense of the chaos. This is the core idea behind the "Trust In Numbers: The Private Data Advantage" investment theme, which focuses on this very shift from public ambiguity to private clarity.
Of course, no investment is without its risks. These companies must constantly fend off cyber threats, navigate a labyrinth of data privacy regulations, and invest heavily to stay ahead of the technological curve. Their value is entirely dependent on maintaining that hard-won trust. But in an economy increasingly driven by information, the companies that own the most reliable intelligence could be in a very strong position indeed. They aren't just selling data, they are selling confidence. And in today's market, that might just be the most valuable commodity of all.
