Freight Technologies, Inc. announced a multi‑year service agreement with Fetch Compute, Inc. that grants the company access to Fetch AI’s ASI‑1 large‑language‑model platform and developer‑tool suite. The deal is designed to accelerate the development of AI‑driven logistics solutions, including autonomous task agents and real‑time voice‑enabled agents that can streamline freight procurement, scheduling, exception handling, and communication for shippers, carriers and brokers.
The partnership will be integrated into Freight Technologies’ existing AI Lab, a facility launched in April 2025 in collaboration with the University of Monterrey. By embedding Fetch AI technology into the lab, Freight Technologies aims to strengthen its competitive position in the U.S.–Mexico cross‑border and domestic over‑the‑road freight ecosystem, a key market for the company’s freight‑matching, LTL shipping and TMS offerings.
Freight Technologies has faced declining revenues, reporting $17.1 million in fiscal year 2023 and $13.73 million in fiscal year 2024. In August 2025 the company lowered its full‑year 2025 revenue guidance to $13–$16 million, reflecting ongoing revenue pressure. The new partnership is part of a broader strategy to leverage AI to drive growth and improve margins, following the launch of its AI Lab and a prior investment of $5.2 million in Fetch AI tokens in April 2025.
Fetch AI’s ASI‑1 Mini is a Web3‑native large‑language model designed for autonomous agent workflows, offering advanced reasoning and GPU efficiency. Freight Technologies’ access to this platform is expected to accelerate the deployment of AI solutions that reduce operational costs and enhance service quality for freight customers.
While the partnership signals a strategic push toward AI‑enabled logistics, Freight Technologies’ financial challenges remain. The company continues to operate at a loss, with a projected operating loss of $4–$5.5 million for 2025, and its cash burn rate remains high. The partnership is therefore a key milestone that could help reverse the revenue decline, but investors will likely scrutinize how quickly the new technology translates into revenue growth.
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