Uber AI Solutions Expands Global AI Training Platform

Uber Technologies' artificial intelligence (AI) data services business, Uber AI Solutions, has expanded its offerings to AI labs and enterprises in 30 countries. This move leverages Uber's decade-long expertise in using data and AI for its operations, aiming to help other organizations build smarter AI more quickly.

Uber AI Solutions combines the company’s platform, people, and AI systems to meet the growing demand for reliable, real-world AI data. Megha Yethadka, general manager and head of Uber AI Solutions, stated, “With today’s updates, we’re scaling our platform globally to meet the growing demand for reliable, real-world AI data.”

One of the key solutions offered by Uber AI Solutions is a platform that connects enterprises to global talent for annotation, translation, and editing of multilingual and multimodal content. This talent pool includes experts in coding, finance, law, science, and linguistics. Additionally, the company provides high-quality datasets to train large AI models for generative AI, mapping, speech recognition, and other use cases.

Task flows, annotations, simulations, and multilingual support are available to help train AI agents. Uber AI Solutions also offers internal platforms for managing large-scale annotation projects and validating AI outputs. These advancements position Uber AI Solutions as a crucial human intelligence layer for AI development worldwide, combining software, operational expertise, and global scale.

The AI industry has long faced a shortage of high-quality data for training models. While the internet generates vast amounts of data, it often lacks the diversity, accuracy, and unbiased nature required for effective AI training. Uber AI Solutions aims to address this challenge by providing high-quality, labeled data.

In a related development, SandboxAQ launched a dataset designed to help researchers advance AI models in drug discovery. This dataset, generated using SandboxAQ’s AI large quantitative model capabilities and Nvidia’s development platform, enables researchers to train AI models to predict protein-ligand binding affinities much faster than traditional methods.

With these advancements, Uber AI Solutions is well-positioned to become a leading provider of AI data services, helping enterprises and AI labs build smarter, more efficient AI systems.