us-mexico-trade
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Deepak Chhugani
Deepak Chhugani is the founder and CEO of Nuvocargo, an AI-powered platform for cross-border truckload freight between the United States and Mexico. Born in Kenya to Indian parents and raised in Ecuador, he worked on Latin America M&A deals at Bank of America Merrill Lynch before starting Nuvocargo in 2019. The company has raised more than $75 million from investors including Y Combinator, Tiger Global, QED, and NFX, and combines freight forwarding, customs brokerage, cargo insurance, and financing on one platform. Chhugani was named to the Forbes 30 Under 30 list for enterprise technology in 2023 and is an Endeavor Entrepreneur.
Nuvocargo
Nuvocargo is a digital-first freight forwarder and licensed U.S. customs broker built to simplify the $40B+ over-the-road freight market between the United States and Mexico. Through a single platform, it combines trucking, customs clearance, cargo insurance, carrier payments and trade finance, and is increasingly layering AI automation across the load lifecycle. Founded in 2019 by Deepak Chhugani, the New York- and Mexico City-based company has raised over $74M and rode the nearshoring wave to serve roughly 500 shippers including Kimberly-Clark, Nestle and Grupo Bimbo.
Desteia
Desteia is an AI-native platform for global trade that turns the messy, unstructured data of logistics - emails, chat messages, PDFs, customs filings - into a single validated source of truth. Using large language models to read documents and graph theory to model shipments as networks of locations and routes, Desteia gives supply chain operators end-to-end visibility across ocean, ground, and air, with particular depth on the roughly $850B U.S.-Mexico cross-border corridor. Founded in 2023 by former Tesla executive Francoise Lavertu Stevens and Stanford engineers Diego Solorzano and Austin Poore, the New York-based company raised an $8M seed round in early 2025.
Diego Solorzano
Diego Solorzano is the co-founder and co-CEO of Desteia, a New York and Mexico City based startup that uses artificial intelligence and graph theory to turn the messy reality of global trade - emails, chat messages, and PDFs - into a live map of where goods actually are. A Stanford-trained engineer, he is building command-center software for the chaotic $850-billion-a-year U.S.-Mexico trade corridor, has raised $11.5 million total including an $8 million seed round, and counts retailers like Elektra among early users. He also hosts the Supply Chain Optimizers podcast.