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Scale AI

Scale AI delivers data, evaluation, and deployment tools that support the full AI lifecycle for enterprises and government customers. The platform combines large-scale data labeling, model evaluation and RLHF pipelines, and an enterprise GenAI Data Engine to accelerate model development and safe deployment. Scale exposes a REST API and developer SDKs to integrate labeling, evaluation, and agentic workflows into existing ML pipelines.

  • Data labeling and annotation — Use Scale's managed labeling pipelines to upload assets and receive high-quality labeled data for vision, sensor fusion, audio, and text tasks.
  • Model evaluation & benchmarking — Run private, expert-led evaluations and leaderboards to measure model performance and regression across custom datasets.
  • Fine-tuning and RLHF — Apply fine-tuning and reinforcement learning from human feedback workflows to adapt foundation models to enterprise data.
  • Enterprise GenAI Data Engine — Ingest and manage enterprise data to power long-lived, auditable generative AI applications.
  • Scale API & SDKs — Integrate via REST API and provided client libraries to create sandboxed tests, request tasks, and consume results programmatically.

Getting started: create an account, use the Scale API or SDKs to submit tasks or datasets, and work with Scale's customer success team for onboarding and enterprise configuration.

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Demo Video for Scale AI

Developer

Scale AI builds enterprise-grade data and evaluation platforms that power model development, fine-tuning, and deployment. The team comb…read more

Pricing and Plans

(Paid)

Enterprise

Popular
Contact for pricing

Custom enterprise engagements and pricing; contact sales for onboarding, quotas, and SLAs.

  • Managed data labeling and annotation pipelines
  • Private model evaluation and leaderboards
  • Fine-tuning and RLHF services
  • Enterprise GenAI Data Engine and integrations
  • API access and developer SDK support

System Requirements

Operating System
Any OS with a modern web browser
Memory (RAM)
4 GB+ RAM
Processor
Any modern 64-bit CPU
Disk Space
No local storage required (cloud-based)

AI Capabilities

Data labeling
Model evaluation
Fine-tuning
RLHF
Agent orchestration
Sandboxed API testing