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Labelbox

Labelbox is an enterprise AI data platform providing, data labeling, model evaluation, and training data services for, accelerating AI development. The platform integrates data curation, human labeling, and performance benchmarking tools to support advanced, multimodal AI models. For more details, visit labelbox.com.

Company Information

Product Information

Labelbox is a data-centric AI platform and training data factory designed to help teams manage data, curate datasets, and generate high-quality annotations. It offers comprehensive tools for data annotation, quality assurance, model debugging, and on-demand expert labeling services (Alignerr). For more details, visit Labelbox.

Labelbox Specifications

Business Performance
Company Details

Labelbox

Labelbox, Inc.510 Treat AvenueSan Francisco, CA 94110United States
Categories
Enterprise AI Data Platform Managed Labeling Services LLM Evaluation
Language
Language & Business
Language Support English
Business Type Enterprise B2B (Business-to-Business) software and services company
Integrations
Cloud Storage & Pipelines
Cloud Storage & Pipelines
MLOps & Model Training
Custom & Development Tools
Support
support@labelbox.com]
Social Connect

Services and Focus

Client Focus

Industry Focus

Key Features of Labelbox

  • Multimodal Annotation & Editor
  • Model-Assisted Labeling (MAL)
  • Quality & Workforce Management
  • Catalog & Data Curation
  • Model Diagnostics
  • RLHF & Evaluations
  • Flexibility & Integration

Labelbox Screenshots

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Labelbox Video

Labelbox Pricing

Labelbox services

Built for AI labs and model builders, enjoy fast, high-quality model evaluations and reinforcement learning with the our expert network.

  • Flexible service options to match your needs
  • Fully managed evaluations and data creation
  • Option to connect directly with our expert network
  • Backed by our Labelbox quality guarantee
  • Volume discounts available at scale
Contact us
Software subscription

Ideal for enterprises and AI teams building a data factory, the Labelbox Platform is the industry-leading software purpose-built to deliver high-quality training data.

  • Essential labeling and evaluation platform
  • Multimodal evaluations & data annotation
  • Model-assisted labeling and AI critics
  • On-demand services available as an add-on
  • Dedicated technical support available
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Frequently Asked Questions

We offer a comprehensive suite of user-friendly labeling tools designed for both technical and non-technical team members. Our intuitive interface allows for easy creation of customized templates, accommodating a wide range of labeling tasks. From simple categorization to complex annotation, our platform supports RLHF, multimodal chat arenas, audio, video, documents and custom HTML templates.

We pride ourselves on handling tasks of any complexity. Whether you need quick image tagging or in-depth content analysis that takes hours per item, our platform can accommodate your requirements. We've successfully managed projects ranging from summarizing lengthy articles to coding complex algorithms.

Our data labeling solution combines cutting-edge technology with a diverse, highly skilled workforce proficient in over 30 languages. We've built an in-house team of talented individuals from various backgrounds. We also operate Alignerr, one of the largest gen AI expert AI tutor network employing thousands of software engineers and PhDs. This approach ensures superior quality and cost-effectiveness for your data labeling needs.

We use a sophisticated matching system that aligns labelers' skills and experiences with project requirements. This ensures that your financial data is handled by those with relevant financial knowledge, your social media content is reviewed by active platform users, and your technical projects are assigned to individuals with appropriate STEM backgrounds. We believe this targeted approach significantly enhances the quality and accuracy of the labeling process.

Our labeling team is composed of individuals from diverse professional and educational backgrounds. This includes researchers, educators, college students, gamers, software engineers and industry professionals across various fields. This diversity allows us to match projects with labelers who have relevant domain knowledge and experience.