

Labelbox is the industry’s first end-to-end AI Data Factory — purpose-built to empower organizations to build robust data infrastructure, operate scalable labeling and evaluation workflows, and staff high-impact AI teams with vetted talent. More than a labeling tool, it’s an integrated platform and service ecosystem that transforms raw data into production-grade AI assets — from foundational training sets to post-deployment alignment signals. Trusted by innovators across AI research labs, enterprise AI divisions, and global technology leaders, Labelbox accelerates the full AI lifecycle — without compromising quality, governance, or speed.
Begin your AI data journey in minutes: launch a free account, explore interactive platform walkthroughs, or request a tailored demo with an AI data strategy specialist. Whether you're launching your first LLM fine-tuning initiative or scaling multimodal annotation across 50+ global contributors, Labelbox adapts — offering self-serve software, expert-managed services, and on-demand access to certified AI trainers via Alignerr Connect. Everything integrates seamlessly into your existing MLOps stack, CI/CD pipelines, and model monitoring systems.
For sales inquiries, technical support, or refund requests, visit Labelbox’s contact page.
Company Name: Labelbox, Inc.
Headquarters: San Francisco, CA (U.S.)
Learn more about our mission, leadership, and impact: About Labelbox.
Access your workspace: https://app.labelbox.com
Sign up in seconds: https://app.labelbox.com/signup
Flexible options for startups, scale-ups, and enterprises — view details and request a custom quote: Labelbox Pricing
Follow Labelbox for AI data insights, product updates, and industry leadership: https://www.linkedin.com/company/labelbox/
Real-time announcements and AI data best practices: https://twitter.com/labelbox
Explore open-source integrations, SDKs, and developer resources: https://github.com/Labelbox
Labelbox reimagines AI infrastructure as a unified factory — where data ingestion, labeling, validation, model evaluation, and human-in-the-loop alignment are orchestrated as repeatable, auditable, and scalable production processes — not one-off tasks.
From initial dataset curation and active learning loops to real-time model performance dashboards and iterative red teaming cycles, Labelbox provides both the software platform and human expertise to build infrastructure, operate workflows at enterprise scale, and staff projects with domain-specialized AI trainers — all under one roof.
Labelbox natively supports text, image, video, audio, PDF, sensor, and 3D data — enabling rapid iteration across pre-training, supervised fine-tuning, RLHF, safety evaluation, and agentic reasoning validation — for models ranging from small task-specific nets to frontier multimodal systems.
By unifying high-fidelity human feedback, statistical quality control, bias detection tooling, and structured alignment workflows (SFT, RLHF, red teaming), Labelbox turns subjective evaluation into objective, trackable metrics — directly correlating data quality improvements to downstream model behavior, trustworthiness, and business KPIs.