Quash transforms credit evaluation for credit unions with AI insights

If you have ever moved countries, you know the weird moment when your financial life resets overnight. I felt it sharply when I was building a neobank for immigrants. A credit score that cannot travel is not really a score, it is a local passport.

Fintech of my choice: Quash

Quash is a Miami-based startup building an AI credit agent for credit unions and small lenders. The idea is simple. Stop treating one static number as the full story, and start looking at real digital behavior that already exists.

Founded by Venezuelan-American entrepreneur Yoel Gavlovski, Quash ingests signals like subscription payments, mobile carrier history, and other digital identity footprints. From that, they create an “inclusion score” and feed it into a predictive decision engine. On top, they add a GenAI credit agent that can simulate loan models and help teams explore scenarios faster.

The company just raised an additional $2.6M, bringing total funding to $7M, with a reported valuation of $35.6M. They are not early in distribution either. Quash says it already serves 250+ financial institutions, with a team of around 40 people.

I like the business logic here. This is SaaS, sold to institutions, charging per decision. If you can improve approvals while keeping losses under control, lenders will pay, and they will keep paying. The “moat” is not a fancy model. It is trust, integrations, and a growing dataset of what actually predicts repayment in these communities.

Everyone talks about inclusion as if it is only for markets with no data. But in mature markets, inclusion is often about niche groups that the system does not understand well: newcomers, younger borrowers, people with thin files, people whose income and spending patterns do not look like their parents’ generation. If AI is good at anything, it is finding signal where humans only see noise.

Of course, there is a line. Alternative data can be helpful, and it can also become a new way to exclude people quietly. The next decade in credit will be about proving you can use richer data and still stay fair, explainable, and compliant.

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I would love to see more lenders treat credit as a living picture of a person, not a frozen screenshot. And next time I speak with a credit union team, Quash is the kind of product I will bring into the conversation.

Would you personally trade more personal data (like subscriptions or mobile history) for faster and fairer access to credit?

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