Labelbox vs Scale AI

Side-by-side comparison of Labelbox and Scale AI: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: Both are enterprise-grade AI data platforms with massive expert workforces, but Labelbox offers a freemium tier and emphasizes robotics/multimodal data with its 2.6M+ contributor network, while Scale AI is enterprise-only and distinguishes itself with a more credentialed workforce (25% advanced degrees) and stronger government/defense positioning. Labelbox leads in post-training data for AI labs, whereas Scale emphasizes end-to-end deployment capabilities. Choose Labelbox for accessibility and robotics focus, Scale for highly specialized tasks and regulated industries.

Labelbox
Labelbox

The data factory for AI teams — powering the world's most ambitious AI labs

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Scale AI
Scale AI

Reliable AI systems powered by the world's best data — from training to deployment.

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Category
Chat assistants
Chat assistants
Pricing
Freemium
Enterprise
Starting price
Free tier
Audience
All audiences
All audiences
API available
Open source
Self-hostable
Model provider
Founded
2018
2016
Headquarters
San Francisco, USA
San Francisco, USA
Key strengths
  • ·Trusted by 90%+ of leading US AI labs for post-training data
  • ·Alignerr network of 2.6M+ expert knowledge workers across 40+ countries
  • ·Full-stack robotics data including video, trajectories, and multimodal annotations
  • ·Custom private AGI benchmarks and frontier model evaluations
  • ·High-quality human-annotated training data at scale
  • ·Frontier model benchmarking and evaluation leaderboards
  • ·Full-stack AI deployment from data to production
  • ·Specialized contributor workforce (25% with advanced degrees)