Welcome back to Not Fintech Investment Advice, where Simon Taylor and I do what we do best: talk about companies we’re absolutely not giving investment advice on.
First up is Primitive, an agent control plane for large financial institutions trying to figure out what to do with AI agents. We get into why regulated institutions need infrastructure that sits above any one model provider, token budgets, and why AI labs deploying engineers into financial institutions should be treated less like a gift and more like a Trojan horse.
Next is Exponent, a finance platform for franchisees. Franchises are one of the most reliable (and overlooked) paths to wealth building. We talk about why franchisees are hard to underwrite, how SBA lending fits in, and why a platform that helps both the borrower and lender could become the financial operating system for multi-location franchise entrepreneurs.
Then there’s Prime Intellect, which helps companies train, deploy, evaluate, and improve their own models. This leads us into one of our favorite nerd corridors: what happens when you train transformer models on financial events instead of language? Financial data may have its own syntax, and the models that understand it may be far more useful than the ones that chat well.
We close with Covered, a gamified credit card that uses variable rewards and sweepstakes to make cash back feel like a chance to win big. Customer acquisition is brutal, top-of-wallet even harder, and in a casino economy, nudging people toward something marginally better is at least honest about the stakes.
Plus, the most important question in the episode: is Anna or Elsa the real protagonist of Frozen?
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This episode is brought to you by Ocrolus.
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Substack: https://sytaylor.substack.com
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Companies featured: