Uber Scaled Solutions for generative AI, LLMs and more
Enabling generative AI companies to accelerate innovation, enhance model precision, and achieve global reach with Uber's data labeling, testing, and localization
Why partner with Uber Scaled Solutions?
Uber’s powerful data labeling, advanced testing frameworks, and global scalability support generative AI companies in creating high-quality, reliable models. With over 8 years of experience and a global network of AI-focused teams, Uber has end-to-end solutions that drive innovation, streamline operations, and accelerate time to market for generative AI applications.
High-precision data for advanced model training
uLabel’s multimodal capabilities provide rich, nuanced data that strengthens generative models and improves accuracy.
Accelerated development and time to market
Streamlined annotation and testing processes shorten development cycles, enabling rapid deployment and scalability.
Enhanced global relevance
Localization expertise makes sure generative models produce contextually accurate outputs catering to diverse cultural and language requirements.
Operational efficiency with reduced costs
Scalable solutions reduce overhead and enable flexible growth, allowing resources to be allocated efficiently.
User-centric testing for high-quality output
Real-world scenario testing ensures that generative applications produce engaging, coherent content, enhancing user satisfaction.
Scalable infrastructure for rapid growth
High-volume task management supports evolving generative AI projects, allowing companies to expand without sacrificing quality.
How this could apply to you
- High-quality data annotation for generative training
Label intricate multimodal data, from tone-specific text to detailed visual styles, to enrich generative AI models.
Impact: Supports faster, more accurate model training for a broad range of creative applications
- Localization and cultural adaptability
Test generative outputs for cultural, linguistic, and contextual relevance, adapting to global markets with ease across 100+ languages.
Impact: Increases user engagement and inclusivity by making sure outputs resonate across diverse audiences
- Complex scenario simulation and testing
Evaluate models in real-world scenarios, from interactive chatbot responses to image generation, ensuring reliability and creative coherence.
Impact: Improves user experience with high-quality, stable outputs that meet real-world demands
- Product testing for scalability and responsiveness
Run comprehensive testing on generative applications for performance under high user load and dynamic content demands.
Impact: Ensures that generative AI apps can scale smoothly and maintain high performance across platforms
How we do this with our tools
- Comprehensive annotation for generative models
uLabel provides intricate tagging for diverse data types—including text, image, audio, and video—ensuring rich data to train generative AI.
- Multimodal and contextual labeling
Handles complex, multilayered data inputs, supporting the nuanced requirements of generative AI across formats and applications.
- Adaptive labeling criteria
Customized annotation parameters allow for specific needs, such as emotional tone for conversational AI, stylistic elements in image generation, and language nuances.
- Quality-controlled annotation
Built-in accuracy checks and AI-assisted validation ensure reliable, error-free labeled data that drives model performance and innovation.
- Scalable task management
uTask coordinates large-scale labeling projects across Uber’s specialized teams, optimizing workflows for speed and quality.
- Skill-based workforce allocation
Assigns tasks, such as sentiment analysis, creative language understanding, and visual style recognition, to annotators with domain-specific expertise.
- Real-time analytics and insights
Provides transparency, showing project progress, quality metrics, and team performance through live dashboards and detailed reporting.
- Flexible, high-volume capability
Designed for rapid scaling, uTask adapts to complex generative AI needs, supporting projects of any size.
- Robust testing for generative applications
uTest simulates real-world user interactions and stress-tests generative models in apps for stability, responsiveness, and creative coherence.
- Localization and cultural adaptability testing
Validates generative outputs across 100+ languages, global cultures, and demographics to ensure high relevance and inclusivity.
- Scenario-based testing
Leverages real data to evaluate performance across use cases like conversational AI, image synthesis, and dynamic content creation.
- AI-driven quality assurance
Detects anomalies and optimizes model performance by using AI insights coupled with Uber’s strategic program managers, thereby reducing risks and ensuring readiness for live deployment.
Over ons
Overzicht
Meer dan 8 jaar aan genuanceerde expertise
30+ mogelijkheden
Meer dan 100 talen
Oplossingen
Data-annotatie en -labeling
Testen
Taal en lokalisatie
Branches
Auto's en automaten
BFSI
Catalogusbeheer
Chatbots/support
Consumenten-apps
E-commerce/detailhandel
Generatieve AI
Gezondheid/medische AI
Productie
Media/entertainment
Robotica
Social media
Technologie
Aanbiedingen
Datalabeling
Verantwoording
Tekst en taal
Afbeelding
Media
Zoeken
Testen
E2E functioneel testen
Taalkundig testen
Toegankelijkheid en naleving
Model-evaluatie
App-prestaties testen
Lokalisatie
Product-UI
Marketing
Support
Juridisch
Technologie
uLabel
Een zeer configureerbaar gebruikersinterfaceplatform voor al je databehoeften
uTask
Een volledig configureerbaar, realtime werkorkestratieplatform dat is uitgerust voor al je behoeften
Testlab
Het aangepaste testbeheer- en testplatform van Uber
uTranslate
Het interne platform van Uber dat ervoor zorgt dat apps voor iedereen, overal, lokaal aandoen