Learn why it's crucial for AI & how Uber Scaled Solutions can help.
Types of data labeling & annotation
Read our latest Generative AI one pager
Why LLM testing matters
Read our latest Auto & AV one pager
Read our guide to AI & ecommerce
Read our chatbot & support one pager
Key offerings
- RLHF
- LLMs
- Data curation
- Coding
- Quality evaluation
- Open-ended descriptions
- Image & Video Animations
And much more
Side-by-side comparison with edits, reinforcement learning with human feedback, open-ended descriptions for images/video/anime, prompt-response creation, synthetic data generation, preference data collection
Key offerings
- Lidar point clouds
- Video entity tagging
- Video object tracking
- 3D Semantic Segmentation
Maps
Variety of map labeling use cases on aerial and satellite imagery, including polylines (lane lines, stop lines) and polygons (buffer zones, pedestrian crossings, parking spots, bus stops, restricted areas, intersections, and traffic signals)
Autonomous vehicles
Multi-LiDARs, sensor fusion, cuboids, metadata, panoptic segmentation, bounding box, polygons, polylines, keypoints, instance segmentation, class segmentation, and more
Search result quality evaluation
Search result quality evaluation ensures that users find the most relevant, accurate, and high-converting products. It assesses ranking algorithms, click-through rates, user behavior, and conversion metrics to optimize product visibility and customer satisfaction.
Product categorization
Product categorization ensures accurate grouping of items for better searchability, navigation, and recommendations. It enhances user experience, improves discoverability, and boosts conversions.
Receipt digitization
Receipt digitization converts physical receipts into structured digital data using OCR and AI. It enables automated expense tracking, fraud detection, and seamless financial reporting for businesses and consumers.
Image classification
Image classification uses AI to categorize product images based on visual attributes. It enhances search accuracy, automates tagging, improves recommendations, and streamlines inventory management.
Selfie quality
Document digitization & transcription
Document digitization & transcription convert physical or audio-based documents into structured digital text using OCR and AI. This enhances searchability, automation, compliance, and data accessibility across industries.
Low rating sentiment tagging
Low rating sentiment tagging in customer support uses AI to analyze negative feedback, categorize issues, and prioritize responses. It helps improve service quality, identify pain points, and enhance customer satisfaction.
Rich media transcription & feedback
Rich media transcription & feedback convert audio and video content into structured text using AI. It enables accurate analysis, enhances accessibility, and provides actionable insights for content optimization and user engagement.
Translation & transcription
Translation & transcription convert spoken or written content into multiple languages using AI and human review. It enhances accessibility, global reach, and user engagement across diverse industries and platforms.
Media classification
Media classification uses AI to categorize images, videos, and audio based on content, context, and metadata. It enhances searchability, content moderation, personalization, and compliance in digital platforms.
Fraud detection
Fraud detection uses AI and data analytics to identify suspicious activities, anomalies, and patterns in transactions. It enhances security, reduces financial losses, and improves trust in e-commerce and financial systems.
Content analysis
Content analysis uses AI and NLP to evaluate text, images, and videos for sentiment, relevance, and quality. It enhances content moderation, personalization, SEO, and decision-making across digital platforms.
Lead enrichment
Lead enrichment enhances customer data by appending relevant insights using AI and third-party sources. It improves targeting, personalization, and conversion rates in sales and marketing efforts.
Content tagging & recommendations
Content tagging & recommendations use AI to classify content based on metadata, keywords, and user behavior. It enhances discoverability, personalization, and engagement across digital platforms.
Text
Multi-hierarchical text categorization, text Q and A, intent tagging, language model quality evaluation, partial text labeling, content quality, and attribute extraction/named entity extraction
Video
Video categorization, video event/activity recognition, video content quality, search quality evaluation, object detection and tracking, cuboids, bounding box, keypoints, polylines, polygons, semantic segmentation, instance segmentation, ads relevance, and audio transcription across 100+ languages
Image
Multi-hierarchical image categorization, image Q and A, image to text, text to image, ML model quality evaluation, content quality, image contextual labeling, object classification, bounding boxes, keypoints, polylines, polygons, and instance and semantic segmentation
Search
Text, image, video, and audio search quality evaluation; relevance ranking; and search <> result matching and query pair evaluation across 100+ languages
AR / VR
3D cuboids, human keypoints, semantic and class segmentation, object tracking, and audio transcription
Language and NLP
Audio transcription, intent tagging, and sentiment analysis across 100+ languages
Catalog and content
Catalog attribute enrichment and categorization, product matching and deduplication, data enrichment, and content quality evaluation across 100+ languages
What you get is more than what you see
In addition to a customizable platform used for 30+ text, image, audio, and video use cases, enterprises like yours partner with Uber’s Scaled Solutions because of:
Introducing uLabel
The innovative data-labeling 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.
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 labeling 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, optimized by our programmatic data exchange and task upload capabilities.
With uTask, you’ll also get:
Use cases
Industries
Auto & AV
BFSI
Catalogue management
Chatbots/Customer support
Consumer apps
E-commerce/Retail
Generative AI
Health / Medical AI
Manufacturing
Media/Entertainment
Robotics
Social media
Tech
And many more!
uLabel
A highly configurable UI platform for all your data needs
uTask
A fully configurable, real-time work orchestration platform equipped for all your needs
Testlab
Uber’s custom Test Management & Testing Platform
uTranslate
Uber’s in-house platform that makes apps feel local for everyone, everywhere