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Scale AI
Data Platform
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Data & Labeling
RLHF data, fine-tuning datasets, evaluation pipelines, Spellbook. The operating system for AI development — data quality infrastructure.
Dependency Score
55
Compute Intensity
medium
Enforceable Asset
yes
Revenue Stream
Per-task labeling fees
⬡ Connect Scale AI
REGISTRY WEIGHT
55
EXAMPLE JOBS PERFORMED
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Training data curation
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RLHF annotation pipelines
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Model evaluation harnesses
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Fine-tune dataset generation
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Red-teaming and safety eval
SAMPLE IMPORTED SIGNALS
labeling_tasks: 0/mo (not connected)
datasets: N/A
DATA TYPES
dataset_recordsannotation_jobsquality_scoresthroughput
AI ROLES
Fine-Tuning
Adapting pre-trained models to specific tasks or domains
Monitoring
Tracking AI system performance, cost, quality, and drift
Data Processing
Transforming, enriching, and preparing data for AI consumption
REGISTRY RELEVANCE
Data quality layer; critical for fine-tuning and model improvement workflows; high enforceability.
Enforceability for AISL
Enforceable
Revenue stream
Per-task labeling fees, Enterprise contracts