> ## Documentation Index > Fetch the complete documentation index at: https://docs.labelbox.com/llms.txt > Use this file to discover all available pages before exploring further. # Get started with Labelbox > Labelbox accelerates the creation of high-quality, differentiated data by combining on-demand expert labeling services with the industry-leading data labeling platform. Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with our industry-leading data labeling platform. ## Data labeling solutions Labelbox offers a comprehensive labeling service that rapidly delivers labeled data with real-time feedback, built-in automation, and quality control. Powered by the [Alignerr](https://intercom.help/alignerr/en/articles/9540511-what-is-alignerr) community of highly educated experts proficient in major languages and advanced subjects, the labeling service excels in critical post-training and GenAI tasks, such as: * Reinforcement Learning with Human Feedback (RLHF) * Supervised fine-tuning (SFT) * Multimodal LLM evaluation * Preference ranking * LLM chat arena * Red teaming * Text-to-image, video, and audio tasks * Coding and AI agent tasks Labelbox provides expert labeling in 30+ languages and is capable of more regional and domain-specific languages upon request. To learn more about how to set up labeling services, see [Labeling services](/docs/labeling-services). ## An all-in-one platform Labelbox’s unified platform allows you to manage the entire AI model lifecycle, from data labeling to model training and post-training tasks. Begin with annotating datasets using Labelbox's tools, or opt for expert labeling services when necessary. From there, you can use foundational model-assisted features to automate the labeling and training process and collaboration tools to enable team-wide review and alignment. ## Annotate labels Collaboratively annotate data with the internal team, your own vendor, or Labelbox data labeling services. Labelbox Annotate supports 10+ built-in editors for multimodal chat, LLM evaluation, prompt/response generation, computer vision, natural language processing, and more. To get started with Annotate: ## Train and evaluate models for RLHF Generate preference data to fine-tune large language models for RLHF using outputs from one or more foundational models. Labelbox Foundry integrates foundational models into your Labelbox workflow. To learn more about how to leverage foundational models on Labelbox, see [Foundry](/docs/foundry). ## Catalog datasets Integrate data from 25+ different cloud sources or your own data solutions within a unified, and intuitive interface. Turn data into insight and action with vector & traditional search, data exploration, and curation. To get started with Catalog: ## Monitor and manage teams Monitor labeling project and workforce performance with metric filters to identify your top performers, including your own team members and the labeling service professionals. To learn more about available tools and user roles, see [Team management](/docs/team-management). ## Run and test custom models Add your custom models to run labeling tasks and training experiments to diagnose and quickly improve their performance. To get started with Model: