Businesses rely on high-quality, diverse, real-world data to train their AI — yet sourcing and labeling that data remains one of the biggest barriers to scaling AI systems.
The best of Uber's data labelling, data collection, web and app testing, and localisation for your business
Build high-performing AI with trusted tech, localized data, and a global network of niche, diverse, and specialized experts—from the team and tools that built Uber. As the only market solution servicing the full breadth of AI development—from data annotation and labeling to localization to product testing—we empower the next generation of AI innovators, enabling you to go as broad or as niche as you need.
Introducing Uber AI Solutions
With over 9 years of expertise in managing large-scale data-labelling operations, we offer 30+ advanced capabilities, including image and video annotation, text labelling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking and LiDAR annotation.
Our multilingual support spans 100+ languages, covering European, Asian, Middle Eastern and Latin American dialects, ensuring comprehensive AI model training for diverse global applications.
Our solutions include:
Data annotation and labelling: Expert, precise annotation services for text, audio, images, video and many more technologies
Product testing: Efficient product testing with flexible SLAs, diverse frameworks and 3,000+ test devices, all streamlined for an accelerated release cycle
Language and localisation: World-class user experience for everyone, everywhere
Smarter, better, diverse, reliable AI starts here
Ensuring Safety, Accuracy & Trust in Robotics Data
Uber was built to move people and things. Now, we’re moving your AI further.
64 billion trips didn’t just happen overnight. We’ve spent the past decade building the tech and operational infrastructure that allowed us to scale globally—adapting to languages, regulations, and local nuances in 70+ countries and hundreds of cities. That’s how we learned to deliver consistency, quality, and reliability at scale. Now, we’re bringing that expertise to you.
Experts for every task, everywhere
Partner with top talent from our global network of diverse, highly-skilled professionals. Our experts bring precision, speed, and scale across 200+ languages, with deep domain fluency in GenAI, STEM, law, linguistics, finance, and more.
Industry-leading solutions
Gain a strategic edge with tech built by Uber, for Uber. With built-in quality checks and customizable solutions for any use case, our tools are designed to boost performance, cut costs, and help you tackle complex projects with confidence.
Scale, at the push of a button
Tap into the tech and team powering 36M+ rides each day. With a decade of experience managing the world's largest tech-enabled marketplace, we’re masters at quickly and effectively scaling to your needs.
Scalable AI solutions across sectors
Trusted by innovators everywhere
Randon Santa, Programme Lead
"Uber AI Solutions excel in managing work for autonomous vehicle data labelling. Their ability to adapt and scale according to the demands of each project, coupled with their commitment to effective communication and teamwork, ensures the delivery of high quality, good value and efficient services."
Yanki Onen, Founder
"As Wamo expands into new markets, partnering with Uber AI Solutions is helping us deliver truly localised experiences at scale. From our website and CRM to onboarding and the app, their advanced globalisation technology enables us to connect with users in their own language – accurately and with cultural relevance. This collaboration is key to building trust in every region we enter. Huge thanks to the Uber AI Solutions team for being a responsive, reliable, and innovative partner – we're just getting started!"
Brian McClendon, SVP
"Niantic is using machine learning and artificial intelligence to build a 3D map of the world, and that work requires an agile partner that can handle dynamic data-annotation requirements. We chose Uber because of their operations and technology expertise, and we've been impressed with the results so far."
Paras Jain, CEO
"Human-annotated data is essential for training Genmo's frontier-level multimodal models. Uber AI Solutions brings the scale, rigour and responsive tooling we need to generate high-quality datasets quickly and cost-effectively."
Harishma Dayanidhi, Co-founder
"Access to real-time, hands-on workflows across diverse queues is key to us as we streamline our operations. Uber has been an excellent partner, brainstorming with us on the set-up of these processes and applying its know-how to enhance efficiency. Uber's customised tools and deep experience has been a game changer for us."
Perception machine learning
"It's known that large-scale production of high-quality annotation is generally required to achieve robustness in autonomous driving. Uber has been consistently delivering annotation services that not only meet our high standards for quality and speed, but also respond flexibly to our quick changes and needs in our long-term collaboration.
They have proven their ability to meet demanding requirements in autonomous driving, where high precision in annotation is essential. Their reliability, adaptability and responsiveness have made them a trusted and valuable partner in our development process."
Amit Jain, CEO
"Human-annotated data plays a pivotal role in the training of our models. Uber has been a valuable collaborator, contributing insights into the project design and leveraging their expertise to efficiently generate high-quality data. Uber's scale, quality and service were all valuable to us throughout the process."
Steffen Abel, CTO/Co-Founder
"Uber AI solutions bring advanced, industry-standard QA expertise backed by over a decade of building mobile excellence; the team was quick to understand our requirements and commenced mobile and web testing for our specific products. The testing process included the implementation of the test coverage framework and using GenAI to develop test cases which improved our feature coverage and reduced our time to market. Consequently, we can now test any feature within 24 hours and have expanded our testing coverage to include options for multiple browsers and platforms."
Pavan Kumar, Head of AI/CV
Digs is on a mission to use AI and completely transform the process of building and buying a home. The annotation requirements for this domain specific data are intricate and evolving. We have partnered with Uber for our annotation needs and they have consistently yielded value in terms of operational experience, quality and cost-effectiveness.
The foundation for your models
(Click on the tags below for a topic most relevant to your needs)
Data collection, labeling, and annotation
Build high-performing AI models with rich, real-world datasets collected, labeled, and annotated by experts across the globe using Uber tech. We’ve trained 20,000+ AI models to date. Will yours be next?
Product testing
Launch with confidence from day one. Get key performance insights, streamlined testing, and high-impact quality assurance across multiple operating systems and 3,000+ test devices.
Localisation
Create a world-class experience for everyone, everywhere. Tap into our global network of linguists to adapt content, UI, and messaging across 100+ languages and cultures.
uLabel
A highly configurable UI platform for all your data needs
Introducing uLabel
The innovative data-labelling platform built by Uber, for Uber, is designed to redefine workflow management and elevate efficiency. This single-source solution offers a seamless environment with an advanced instruction panel for high-quality annotations and a highly configurable UI adaptable to any taxonomy and customer requirement.
With features crafted to enhance quality and efficiency, uLabel transitions the configurable UI from uTask (get more details below) to meet diverse needs, ensuring a user experience where excellence is standard.
Scalable, fully custom configurable workflow and work orchestration
Supports auditability, quality workflows, consensus, edit review and sampling workflows
Labelling and operator metrics improve efficiency and reduce costs
Configurable UI based on use case
uTask
A fully configurable, real-time work-orchestration platform equipped for all your needs
Meet uTask
At the core of our solutions is maintaining the highest standards of quality.
Everything we do revolves around a framework that integrates various components to provide excellence in every aspect of our operations.
Our platform is designed to deliver scalable, fully custom, configurable work orchestration. Tailor your experience with consensus, edit-review and sampling workflows, all while monitoring labelling and operator metrics. Our configurable UI adapts to your specific use case, ensuring real-time work orchestration that aligns with your operations and elevates your workflow efficiently. Benefit from intelligent matchmaking that pairs tasks and projects with skilled individuals, optimised by our programmatic data-exchange and task-upload capabilities.
Automated configuration support for various workflows, such as edit review, sample review and consensus models
Programmatic data exchange and task uploads
One-stop source for operations metrics
Feedback loop
Real-time analytics dashboards for governance
Testlab
Uber's custom test management and testing platform
uTranslate
Uber's in-house platform that makes apps feel local for everyone, everywhere
Text labelling
Text labelling annotates data with tags to help machine-learning models understand it, enabling tasks like sentiment analysis, entity recognition and intent classification for AI-driven chatbots, search and recommendations.
Image labelling
Image labelling assigns meaningful tags or annotations to images, helping machine-learning models recognise objects, scenes or patterns for applications like autonomous vehicles, facial recognition and medical imaging.
Video labelling
Video labelling annotates frames with tags to help machine-learning models detect objects, actions and events, enabling applications like surveillance, autonomous driving and content recommendation.
Audio labelling
Audio-labelling tags sound data to help machine-learning models recognise speech, music and effects, enabling applications like voice assistants, speech-to-text and sound event detection.
Maps
Maps labelling annotates geographic data with tags to help machine-learning models recognise locations, routes and landmarks, enabling applications like navigation, geocoding and urban planning.
ADAS and LIDAR
ADAS and LiDAR labelling annotates sensor data to help machine-learning models detect objects, lane markings and obstacles, enabling applications like autonomous driving, collision avoidance and 3D mapping.
Search
Search labelling tags queries and results to help machine-learning models understand intent, relevance and ranking, enhancing applications like web search, e-commerce recommendations and AI-driven assistants.
AR/VR labelling
AR/VR labelling annotates virtual and real-world data to help machine-learning models enhance object tracking, spatial awareness and interactions, enabling applications like gaming, training and immersive experiences.
End-to-end testing
End-to-end testing ensures your app works as expected from start to finish by testing its entire workflow, including integrations, databases and user interactions, to detect issues before deployment.
User experience testing
User experience (UX) testing evaluates a product's usability, accessibility and overall experience by analysing real user interactions, identifying pain points and optimising design for better engagement.
Accessibility testing
Accessibility testing makes sure digital products are usable by people with disabilities by evaluating compliance with WCAG standards, testing assistive technologies and improving inclusivity for all users.
App performance testing
App performance testing evaluates speed, responsiveness and stability under different conditions by simulating loads, monitoring resource usage and identifying bottlenecks to ensure a smooth user experience.
Compliance testing
Compliance testing verifies that a product meets regulatory, legal and industry standards by assessing security, data privacy and operational policies to ensure adherence and avoid penalties.
Device and OS testing
Device and OS testing makes sure an app functions correctly across different devices, operating systems and versions by checking compatibility, performance and UI consistency to optimise user experience.
Automated and manual LQA
Automated LQA (linguistic quality assurance) makes use of AI to detect untranslated text, truncation, formatting, and linguistic inconsistencies, ensuring efficiency at scale. Manual LQA involves human reviewers verifying accuracy, fluency, cultural relevance, and adherence to brand voice
AI / machine-translation enablement
AI/machine-translation enablement optimises localisation using 60+ custom MT models, domain-specific training and human-in-the-loop validation to ensure high accuracy, faster turnaround and scalability
Routing platform and connector
The Routing Platform & Connector automates localisation workflows by integrating with S3, Google Suite and TMS, ensuring seamless content distribution, efficient routing and scalable translation management
Nuanced & Experienced Linguistics
Nuanced & Experienced Linguistics leverage 1,000+ linguists and SLV vendor models, ensuring high-quality translations with domain expertise, cultural adaptation and consistency across workflows
Enhance cost efficiency by using our proven global frameworks, continuous tech innovation and rigorous process-improvement measures.
Improve and increase accuracy, making sure every task meets the highest industry benchmarks with uncompromised excellence.
Navigate the challenging nature of AI development by making sure your technology and operations stay ahead with flexibility, adaptability and speed.
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