Scale AI
Data infrastructure and enterprise platforms for building reliable AI systems.
About Scale AI
Scale AI provides data infrastructure and application services for organizations building and operating artificial intelligence systems. Its Data Engine supports annotation and data management, including workflows that use a customer’s own workforce or Scale’s workforce. The GenAI Platform is positioned for building customized, enterprise-ready generative AI applications, while Scale also works with enterprise and government teams on production systems and outcomes. Self-serve access is aimed at experimental and research projects, with pay-as-you-go purchasing by credit card and limited no-cost usage thresholds for selected data tasks. Larger strategic initiatives use an enterprise engagement with service-level commitments and dedicated customer operations support. Security is built into the platform and development lifecycle, and Scale reports SOC 2 Type II and ISO/IEC 27001:2022 coverage. Buyers should distinguish the accessible self-serve Data Engine from the demo-led enterprise offering: costs beyond the stated thresholds are not shown as a simple public rate card, so teams with substantial volume or GenAI deployment requirements will need to discuss scope and pricing with Scale.
Best for
Best use cases
Run experimental annotation projects with pay-as-you-go purchasing by credit card
Curate image datasets before training or evaluating machine-learning systems
Build customized enterprise generative AI applications with dedicated operational support
Compare before choosing
Self-serve access lowers the entry barrier, while enterprise work requires a sales conversation
Limited no-cost thresholds help early experiments, but larger workloads move to usage-based or custom pricing
The offering spans data operations and GenAI applications, making it broader than a labeling-only service
Features
Data annotation workflows
Annotate machine-learning data with a customer-managed workforce or Scale’s workforce and manage the resulting datasets.
Research data management
Upload, curate, and manage project data through a self-serve workspace designed for experimental and research work.
Enterprise GenAI applications
Develop customized generative AI applications for enterprise use with a demo-led platform and operational support.
Pros
- Self-serve data tools let research teams begin annotation and management work without an enterprise contract
- Customers can use their own annotation workforce or Scale’s workforce, which supports different operating models
- SOC 2 Type II and ISO/IEC 27001:2022 coverage provides concrete trust information for security review
Cons
- Enterprise pricing is custom, so buyers cannot estimate a complete deployment cost from a public rate card
- No-cost self-serve access is limited to stated labeling-unit and image thresholds rather than an unlimited free plan
- The broad product range can require separate evaluation of data workflows and the enterprise GenAI platform
Pricing Plans
Self-Serve Data Engine
- Annotate and manage data in one place
- Pay by credit card
- First 1,000 labeling units at no cost for bring-your-own-workforce annotation
- Curate the first 10,000 images at no cost for data management
Enterprise
- Enterprise-grade quality and service-level agreements
- Access to the Data Engine and Enterprise GenAI Platform
- Dedicated customer operations support
* Pricing information is for reference only. Please refer to the latest announcement on Scale AI's official website.