Scale AI
Enterprise AI data infrastructure for labeling, evaluation, and synthetic data
Overview
AI data infrastructure company providing data labeling, model evaluation, and synthetic data generation at enterprise scale. Powers training data for leading AI companies including OpenAI, Meta, and the US Department of Defense.
Ehsan's Growth Verdict
The heavyweight champion of training data — for companies with heavyweight budgets
Best for: Large AI companies and government agencies needing training data at massive scale
Key Features
- ✓Enterprise data labeling
- ✓Model evaluation and benchmarking
- ✓RLHF data for LLMs
- ✓Synthetic data generation
- ✓Government and defense solutions
Pros
- + Highest quality labels at massive scale
- + Powers the largest AI companies
- + RLHF expertise is best in market
Cons
- − Enterprise pricing only — not for startups
- − Minimum engagement sizes are significant
- − Long sales cycles
Pricing
| Plan | Details |
|---|---|
| Scale Donovan | Government pricing |
| Scale Data Engine | Custom pricing |
| Scale GenAI Platform | Custom pricing |
Best Use Cases
Ehsan's Growth Take
Scale AI realized that data, not models, is the moat. They're right. If you're training a foundation model or have a $1M+ data budget, Scale is the proven choice. For everyone else, Labelbox or in-house labeling is more realistic.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council