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Argo AI
Artificial Intelligence
Argo AI was a Pittsburgh-based self-driving car technology company, backed by Ford and Volkswagen, that shut down in 2022 after failing to bring a commercial robotaxi product to market.
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Argo AI was founded in 2016 by Bryan Salesky and Peter Rander, veterans of Google's and Uber's respective self-driving car programs, at a time when a wave of well-funded startups and large automakers were racing to develop autonomous vehicle technology, with many predicting commercially deployed robotaxis within just a few years. Argo built its own self-driving software stack, including perception, mapping, and planning systems, and equipped test fleets of vehicles that operated in a number of U.S. cities to gather data and refine its autonomy technology, positioning itself as a neutral self-driving technology supplier that could work with multiple automotive partners rather than building and selling its own consumer vehicles. The company's most significant backing came from Ford, which made an initial investment in 2017, and Volkswagen, which invested billions of dollars starting in 2019 as part of a joint plan to deploy Argo's self-driving technology across both automakers' vehicle platforms for eventual robotaxi and delivery services in cities including Miami and Austin, alongside plans in Germany. Despite this substantial backing, at one point reportedly valuing Argo at roughly $7 billion, the timeline for fully autonomous, commercially viable robotaxi deployment proved far longer and more expensive across the entire industry than most companies had originally projected, and in October 2022 Ford and Volkswagen announced they would stop funding Argo AI and the company shut down, with much of its technology, intellectual property, and some staff absorbed back into Ford's and Volkswagen's own internal advanced driver-assistance and autonomy programs rather than continuing as an independent company. Argo AI's shutdown was widely covered as an early, high-profile signal of a broader industry reckoning with the difficulty and cost of achieving full self-driving capability, a caution that shaped how automakers approached subsequent autonomous vehicle investment.
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