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Uber Scaled Solutions for AI-driven robotics

Empowering robotics companies with scalable data labeling, product testing, and global deployment solutions for precision, reliability, and scale.

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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 robust models

uLabel’s multimodal capabilities provide critical data for building sophisticated robotics systems capable of nuanced intents and actions.

Reduced development time and faster time to market

Streamlined testing processes minimize delays, enabling rapid deployment and scaling across markets.

Resilient performance in real-world conditions

Simulation and testing of challenging operational scenarios makes sure robots can handle unpredictable environments and conditions.

Cost-effective scalability for high-growth robotics

Scalable infrastructure supports growing robotics companies as they expand, with reduced costs due to efficient processes.

Enhanced global reach through localized testing

Localization expertise across 100+ languages ensures that robots perform reliably in any region, accounting for diverse terrains, network conditions, and regulatory requirements.

Increased operational efficiency and safety

Comprehensive testing and pixel-precise annotation, including safety checks and user journey simulations, minimizes errors and enhances safety for operators and the environment.

How this could apply to you

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  • Annotate complex data sources, including sensor readings and environmental elements, for effective model training in robotics.

    Impact: Accelerates the development of precise and responsive robotics systems

  • Test robotics applications under diverse real-world conditions, from warehouse floors to outdoor terrains.

    Impact: Ensures reliable performance across environments, minimizing operational risk and downtime

  • Validate system functionality in various global markets, accounting for environmental and infrastructure differences.

    Impact: Optimizes robots for international deployment with region-specific adaptations

  • Conduct thorough testing on system endurance, power consumption, and load-bearing capacity for high-demand use cases.

    Impact: Delivers scalable and resilient robotics solutions for long-term operation and minimal maintenance​

How we do this with our tools

  • uLabel tags complex data such as sensor readings, environmental cues, and object recognition, ensuring high-quality data for robotics models.

  • Supports diverse data types—including visual, LiDAR, audio, and haptic inputs—providing holistic datasets for advanced robotics use cases.

  • Tailors labeling requirements to each robotics project, from intricate object tracking to real-time environmental analysis.

  • Uses built-in quality checks to make sure labeled data is precise and reliable, reducing error rates and supporting faster model deployment.

  • Quiénes somos

    • Descripción general

      • Más de 8 años de experiencia detallada

      • Más de 30 funcionalidades

      • Más de 100 idiomas

      • Soluciones

        • Anotación y etiquetado de datos

        • Prueba en curso

        • Idioma y localización

      • Sectores

        • Auto y Vehículo autónomo (Autonomous Vehicle, AV)

        • Banca, servicios financieros y seguros (Banking, Financial Services, and Insurance, BFSI)

        • Gestión de catálogo

        • Chatbots o equipo de soporte al usuario

        • Apps del consumidor

        • Comercio electrónico o Retail

        • IA generativa

        • IA médica o de salud

        • Manufactura

        • Medios de comunicación o entretenimiento

        • Robótica

        • Redes sociales

        • Tecnología

    • Ofertas

      • Etiquetado de datos

        • Razones

        • Texto e idioma

        • Imagen

        • Medios

        • Buscar

      • Prueba en curso

        • Prueba funcional de extremo a extremo

        • Prueba lingüística

        • Accesibilidad y cumplimiento

          • Evaluación del modelo

          • Prueba de desempeño de la app

        • Localización

          • Interfaz de usuario (User Interface, UI) del producto

          • Marketing

          • Soporte

          • Legal

      • Tecnología

        • uLabel

          • Una plataforma de interfaz de usuario altamente configurable para todas tus necesidades de datos

          • uTask

            • Una plataforma de coordinación de trabajo en tiempo real totalmente configurable y equipada para cubrir todas tus necesidades

          • Testlab

            • Plataforma personalizada de gestión y pruebas de Uber

          • uTranslate

            • La plataforma interna de Uber que hace que todas las personas perciban las apps como locales, en cualquier lugar.