Uber Expands AI Data Platform to Power Next-Gen Enterprise and AI Lab Needs | UBER Stock News

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Jun 20, 2025
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  • Uber expands AI data services globally with Uber AI Solutions.
  • New offerings include a global digital task platform and data foundry.
  • Uber AI Solutions aims to support AI labs and enterprises in over 30 countries.

Uber Technologies, Inc. (UBER, Financial) has announced a significant expansion of its AI data services business, Uber AI Solutions, designed to support AI labs and enterprises worldwide. By leveraging its decade-long expertise in data collection, labeling, and localization from its global operations, Uber is making its technology available for businesses to develop smarter AI models and agents.

One of the main highlights of the expansion is the introduction of a global digital task platform, now operational in 30 countries. This platform connects enterprises with global talent across various fields such as coding, finance, science, and linguistics to perform tasks like annotation, translation, and editing for multi-lingual and multi-modal content. This initiative extends Uber's gig work model into the burgeoning world of AI.

Uber also announced the launch of a new data foundry that offers ready-to-use and custom-collected datasets, which are essential for training large-scale AI models. This service covers a diverse array of use cases, including generative AI, mapping, and speech recognition, while ensuring privacy and compliance.

Furthermore, Uber AI Solutions is providing tools to support the training of smart AI agents by offering realistic task flows, high-quality annotations, simulations, and multilingual support. This aids AI agents in better understanding and navigating real-world business processes.

By opening its internal platforms to enterprise clients, Uber aims to facilitate large-scale annotation projects and AI validation through AI-powered onboarding, quality checks, and efficient task management. This strategic move positions Uber AI Solutions as a pivotal player in the development of the human intelligence layer necessary for future AI advancements.

Disclosures

I/We may personally own shares in some of the companies mentioned above. However, those positions are not material to either the company or to my/our portfolios.