Scale AI

Build reliable AI with better data and enterprise infrastructure

4.8/5 Rating Enterprise - Free for limited self-serve Data Engine usage Enterprise pricing is customized, Data Engine self-serve usage is pay-as-you-go, first 1,000 labeling units are free for bring-your-own-workforce annotation, first 10,000 uploaded images are free for Data Management, enterprise deployments require sales engagement Free Trial Available

Enterprise Technology Specs

Underlying Engine OpenAI, Cohere, Meta, open-source foundation models, enterprise-customized models
Compliance & Security SOC2 Type II
Data Privacy Data Privacy Framework
Deployment Time 10–30 minutes

Product Demo

The Deep Dive

Scale AI is best understood as infrastructure for organizations that take AI seriously. It is not simply another chatbot or low-code automation product. Scale works on the underlying data, evaluations, model improvement, and deployment systems that determine whether an AI application actually performs well in production.

That breadth is the main reason it stands out. A team can use Scale to create training data, evaluate models, improve an AI system, and then move toward production deployment. The company also supports highly specialized environments such as healthcare, robotics, government, and defense.

The trade-off is obvious: this is enterprise infrastructure. If you just want to test a model or build a small chatbot, Scale is probably more platform than you need. But if unreliable data, model evaluation, security, or production deployment are blocking a serious AI program, Scale becomes much more compelling.

Key Capabilities

AI data annotation
Data management
RLHF data
Human feedback
Model evaluation
AI red teaming
Generative AI Data Engine
GenAI application development
RAG pipelines
Model fine-tuning
AI agent deployment
Multi-agent workflows
Enterprise data connections
Model-agnostic deployment
AWS deployment
Azure deployment
VPC deployment
Production monitoring
Evaluation datasets
Expert human workforce

Top Use Cases

  • LLM training
  • RLHF
  • AI model evaluation
  • AI red teaming
  • Enterprise AI agents
  • RAG applications
  • Fine-tuning models
  • Healthcare AI
  • Defense AI
  • Robotics AI
  • Autonomous systems
  • Computer vision
  • Data labeling
  • Content moderation
  • Financial AI
Verified ROI & Case Study

“Scale's official Global Public Sector page reports a building-permit workflow that achieved 10× faster permit review, 80% compliance-check accuracy, 32 automated regulatory validations, and deployment in six weeks.”

Frequently Asked Questions

What is Scale AI used for?

Scale AI is used to create training data, evaluate models, improve AI systems, and deploy enterprise AI applications. Its services cover areas including generative AI, computer vision, robotics, healthcare, and government applications.

How much does Scale AI cost?

Scale offers self-serve Data Engine options with pay-as-you-go pricing. Enterprise products such as its GenAI Portfolio use customized pricing and typically require a sales conversation.

Does Scale AI provide data labeling?

Yes. Data labeling is one of Scale AI's core offerings. Its Data Engine combines tooling, machine-learning-assisted workflows, and human review to create training data for machine learning systems.

Does Scale AI support AI agents?

Yes. Scale GenAI Portfolio supports deploying and orchestrating agents, including long-running asynchronous workflows and multi-agent coordination.

Is Scale AI secure?

Scale states that it maintains enterprise security controls and lists SOC 2 Type II, ISO 27001, DoD IL4 Provisional Authorization, and FedRAMP High among its security and compliance credentials.