Freight Technologies Business Summary

Freight Technologies, Inc. (Nasdaq: FRGT), operating as Fr8Tech, is a technology-centric logistics provider specializing in AI-driven supply chain solutions for the USMCA region. The company generates revenue through a hybrid model of transaction-based freight management fees and a growing Software-as-a-Service (SaaS) stream from its proprietary Transportation Management System (TMS). Its primary business segments include Fr8App, a B2B marketplace for cross-border shipping; Fr8Fleet, which provides dedicated capacity for enterprise clients; and Waavely, a digital platform for ocean freight management. As of February 2026, the company has pivoted toward an "AI-first" architecture, utilizing agentic AI and autonomous voice agents via its Zayren Pro and Fleet Rocket platforms to automate documentation and pricing. In the competitive landscape, Fr8Tech contends with digital brokerages and logistics tech firms such as Radiant Logistics, Forward Air, and Saloodo!, positioning itself as a high-efficiency specialist in the niche US-Mexico cross-border corridor through superior automation-driven margins. The leadership team is anchored by CEO Javier Selgas, a technology veteran with over 15 years of experience who previously served as the company’s CTO and held leadership roles at Osigu and AJEgroup. He is supported by CFO Donald Quinby, who joined in 2024 following a successful tenure in financial planning and investor relations at Nextracker Inc., and COO Luisa Lopez, who brings over 25 years of logistics expertise from senior roles at Landstar and Traxion. The Board of Directors is chaired by Nicholas H. Adler and includes former CFO Paul Freudenthaler, ensuring a blend of financial governance and operational continuity. This executive pedigree combines deep-rooted Mexican market logistics knowledge with Silicon Valley-style software scaling experience, a critical factor in the company's recent 2025-2026 operational restructuring which significantly reduced headcount while increasing shipment throughput via proprietary machine learning models.