Scale AI
Provider of high-quality data annotation and full-stack AI platforms powering leading models.
Updated April 2026
Overview
- Website
- scale.com
- Segment
- Data Labeling & Annotation
Product overview
Scale AI offers the Data Engine for collecting, curating, annotating data, RLHF, model evaluation, and the GenAI Platform for building enterprise AI agents and RAG pipelines.. Used by AI labs like OpenAI, Meta, Google, enterprises, and U.S. government agencies for training advanced LLMs and deploying reliable AI systems.. Distinct for combining human expertise with technology for end-to-end ML lifecycle management, high-quality labels, and scalability from experiments to production.
Revenue model
Enterprise custom contracts with dedicated support (avg. ~$93K/year) and pay-as-you-go per-task labeling for self-serve; no public per-query/storage/API pricing., .
Moat
- Switching Costs
- Scale Advantages
- Proprietary Data
- Brand
Scale AI's primary competitive moat is high switching costs from integrating its data labeling, RLHF, and AI training systems into enterprise AI workflows, combined with a massive workforce of over 240,000 gig workers enabling superior data quality and scale that rivals struggle to match.