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Kodiak put its autonomous Driver on a 435-mile Dallas-Laredo lane for Charger USA

Kodiak AI and the cross-border carrier Charger USA are hauling refrigerated and dry freight with the Kodiak Driver between Dallas and Laredo, still with a safety driver, pending completion of Kodiak's long-haul safety case.

Kodiak AI said on October 8 that it was running the Kodiak Driver on the 435-mile lane between Charger USA’s terminals in Dallas and Laredo, Texas, hauling refrigerated and dry freight for consumer packaged goods and food and beverage customers.

The first delivery on the lane was completed on September 8, a month before the announcement. The trucks currently run with a safety driver aboard. The two companies said they intended to move the lane to driverless operation once Kodiak completed its safety case, which the release defines as a structured, evidence-backed argument that the Kodiak Driver is acceptably safe to operate in a specific domain.

It is Kodiak’s first route serving Laredo, which the release describes as the highest-volume commercial land port of entry in the United States, handling more than $350 billion in international trade in 2025. Charger USA president Andy Khera said combining the carrier’s in-house transport management system and managed transportation with the Kodiak Driver created a nearly fully automated operation. Expansion to further Charger lanes is expected as the carrier integrates the technology into its own fleet.

Kodiak sells the system as a service on customer-owned trucks and has operated driverless in the Permian Basin since December 2024. It has said it plans driverless long-haul service by the end of 2026, and reported on October 6 that its long-haul autonomy readiness measure had reached 96 percent at the end of September, up from the 93 percent it reported a month earlier.

Neither company disclosed terms. Kodiak is listed on Nasdaq and filed no report on the agreement; Charger Logistics USA is privately held.

Why it mattersThe companies named the safety case, not a date, as the gate between a supervised lane and a driverless one, which puts the evidence argument rather than the schedule at the center of the commitment.

Source: Kodiak AI press release

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