← Back to home
OUR STORY

Build for the

hardest calls.

Antonio Latorre spent 11 years building predictive AI for the institutions that define financial access in Latin America — Nubank, Mercado Libre, Santander, BBVA, Scotiabank, Citibank, among others. Not as a consultant. As the person who built the models and data infrastructure that allowed those institutions to reach customers they couldn't evaluate before — expanding financial inclusion where traditional data simply didn't exist.

He saw the same problem repeat itself across every market: brilliant analysts spending months on work that should take minutes. Banks turning away good customers because the data to evaluate them simply didn't exist. Regulators demanding explanations that took weeks to produce manually. And everywhere, the same shortage — not of ambition, but of the data science resources needed to act on it.

Thorcast is his answer to all of it.

Built with Daniel Jiménez — a brilliant engineer with two Master's degrees in Data Science and Computer Science, and former Amazon engineer who built products for over 9,000 employees — Thorcast combines everything Antonio learned across 15 countries and hundreds of models into a single platform: the alternative data network, the automated modeling engine, the explainability layer, and the economic decision framework that lets any analytics team perform at world-class level. Instantly.

Not a tool. A system — designed from the inside out, by people who know what it actually takes to build, validate, and defend models in complex data environments.