Scale AI (Scale) offers a data-centric, end-to-end platform for training and operating AI, with emphasis on high-quality labeled data, RLHF, model evaluation, safety/alignment, and enterprise-grade deployment. The core products cover three areas: Scale Data Engine (a self-serve and managed data annotation/ labeling platform with pay-as-you-go pricing, dataset catalogs, QA workflows, versioning, metadata, and BYO workforce or Scale annotation services), Scale GenAI Platform (enterprise-grade hosting/orchestration for long-running agents, zero-ops operation, RAG pipelines, embeddings/vector stores, custom embeddings, reranking, model evaluation, telemetry, and cloud/VPC deployment), and Scale Generative AI Data Engine / Data toolkit (end-to-end data pipelines for RLHF, data generation, labeling, model evaluation, safety and alignment under the SEAL framework). Public materials also reference Remotasks and Outlier in context. Scale emphasizes data lifecycle management (ingestion, annotation, QA, cataloging, lineage), configurable annotation workflows, ML tooling (pre-labeling, benchmarking), and robust enterprise requirements (SLAs, security/compliance, audit trails, VPC). The company markets to enterprises needing scalable AI data tooling and GenAI capabilities and provides documentation (scale.com/docs), community resources (Exchange), and public pages for pricing and support. Free trial incentives include the first 1,000 labeling units and 10,000 image uploads.