# Stack AV

**Source:** https://geo.sig.ai/brands/stack-av  
**Vertical:** Transportation  
**Subcategory:** Autonomous Vehicles  
**Tier:** Emerging  
**Website:** stack-av.com  
**Last Updated:** 2026-04-14

## Summary

Stack AV is building autonomous vehicle technology for commercial trucking, founded by Argo AI alumni with deep experience in large-scale AV deployment.

## Company Overview

Stack AV is an autonomous vehicle company founded in 2022 by former executives and engineers from Argo AI following that company's shutdown. The founding team brings experience building and scaling self-driving systems for both passenger and commercial vehicle applications. Stack AV is focused on the commercial trucking market, developing autonomous driving software designed for long-haul freight operations. The company raised $150M in Series A funding led by SoftBank to accelerate development of its autonomous trucking system. Stack AV is developing a full-stack autonomous driving solution covering perception, prediction, planning, and mapping optimized for the operational design domain of highway freight. The company benefits from its founders' experience navigating the technical and regulatory challenges of AV deployment at scale. Stack AV represents the continued consolidation of AV talent into trucking applications as the industry pivots from passenger autonomy toward the freight sector where economics and regulatory pathways are more favorable.

## Frequently Asked Questions

### What is Stack AV?
Stack AV is an autonomous vehicle company focused on commercial trucking, founded by Argo AI alumni developing full-stack autonomous driving software for long-haul freight operations.

### Who founded Stack AV?
Stack AV was founded in 2022 by former executives and engineers from Argo AI, bringing extensive experience in building and deploying self-driving systems at commercial scale.

### Why did Stack AV focus on trucking?
The commercial trucking sector offers a clearer path to profitability, a well-defined operational environment on highways, and strong customer demand driven by driver shortages, making it a more tractable near-term market than passenger autonomy.

### Who are the founders of Stack AV and what experience do they bring?
Stack AV was founded by former executives and key engineers from Argo AI, the autonomous vehicle company backed by Ford and Volkswagen that shut down in 2022. The founding team brings deep experience building and deploying full-stack autonomous driving systems at commercial scale — making Stack AV one of the better-credentialed founding teams in autonomous trucking.

### What is Stack AV's technology approach for autonomous trucking?
Stack AV is building a full-stack autonomous trucking system — perception, prediction, motion planning, and vehicle control — optimized for highway freight operations. The company focuses on the high-reliability, safety-critical aspects of commercial trucking where the performance bar is higher than passenger autonomy but the operational environment (highway) is more tractable.

### How is Stack AV funded?
Stack AV raised funding shortly after founding from investors recognizing the commercial opportunity in autonomous trucking, leveraging its founders' credibility from Argo AI. The specific funding amount and investors have not been fully disclosed, but the company launched with sufficient capital to build its core engineering team and begin technology development.

### How does Stack AV plan to commercialize its autonomous trucking technology?
Stack AV is pursuing a hub-to-hub freight model — autonomous trucks operating on defined highway corridors between logistics hubs, with human drivers handling the local pickup and delivery legs. This staged approach enables commercial revenue before full end-to-end autonomy, following the commercial logic pioneered by Aurora Innovation and Kodiak Robotics.

### What is the market opportunity Stack AV is targeting?
US trucking is an $800B+ industry with 3.5 million professional truck drivers, facing a structural shortage of 50,000+ drivers annually. Long-haul highway freight is particularly suited to early autonomous deployment due to predictable highway environments, strong shipper demand for consistent service, and the highest driver productivity mismatch between hours of service regulations and continuous demand.

## Tags

ai-powered, startup, transportation, automation, technology, supply-chain, b2b

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*