Uber Technologies has announced a significant expansion of its AI data services business, Uber AI Solutions, extending its technology platform to support AI labs and enterprises worldwide. The new offerings include customized data solutions, global digital task networks, and tools to enhance the efficiency of building and testing AI models.
Uber AI Solutions expands to support global AI labs and enterprises.
Offers customized data solutions for smarter AI model development.
Global digital task platform connects enterprises to experts in 30 countries.
New data foundry provides datasets for AI training with privacy compliance.
Tools support agentic AI with realistic task flows and multilingual data.
Shared infrastructure enhances AI model validation and task management.
Uber AI Solutions leverages a decade of expertise in data collection, labeling, testing, and localization to offer scalable AI data services. The platform, now available to external businesses, supports use cases such as generative AI, speech recognition, and mapping, enabling organizations to develop high-performance AI models efficiently.
Available in 30 countries, Uber’s digital task platform connects enterprises with global talent in fields like coding, linguistics, and science. Powered by Uber’s foundational systems for identity, verification, and payments, it supports tasks such as annotation, translation, and editing for multilingual and multi-modal content, expanding Uber’s gig work model into AI development.
Uber’s new data foundry provides ready-to-use and custom-collected datasets, including audio, video, image, and text, to train large AI models. Built with data collected globally using Uber’s technology, the foundry ensures privacy and compliance, supporting applications like generative AI and speech recognition.
Uber AI Solutions offers tools and data to train intelligent AI agents, including realistic task flows, high-quality annotations, and multilingual support. These capabilities help AI agents navigate complex real-world business processes, enhancing their effectiveness for enterprise applications.
Uber is making its internal platforms available to enterprise clients, enabling large-scale annotation projects and AI output validation. These platforms feature AI-powered onboarding, quality checks, task decomposition, and feedback loops, ensuring accuracy and operational efficiency for AI builders.
“We’re bringing together Uber’s platform, people, and AI systems to help other organizations build smarter AI more quickly,” said Megha Yethadka, GM and Head of Uber AI Solutions. “With today’s updates, we’re scaling our platform globally to meet the growing demand for reliable, real-world AI data.”
Uber AI Solutions is positioned to become a critical human intelligence layer for AI development, combining software, operational expertise, and global scale. The planned AI-powered interface will further simplify data needs management, allowing clients to describe requirements in plain language for streamlined AI training workflows.
Uber’s mission is to create opportunity through movement. We started in 2010 to solve a simple problem: how do you get access to a ride at the touch of a button? More than 61 billion trips later, we’re building products to get people closer to where they want to be. By changing how people, food, and things move through cities, Uber is a platform that opens up the world to new possibilities.
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