Scale AI

Scale provides end-to-end workflows for generating the human preference data needed to align large language models. This includes side-by-side response comparison, Likert-scale rating, and multi-turn conversational evaluation tasks. The platform handles annotator calibration, inter-rater reliability measurement, and bias detection to ensure preference data is consistent and representative across diverse evaluator pools.

The core annotation platform supports images, video, text, audio, 3D LiDAR point clouds, and fused multi-sensor data within a unified interface. Annotation types range from simple classification and bounding boxes to complex semantic segmentation, temporal object tracking, and 3D cuboid placement. Scale's Rapid pre-labeling engine uses ML models to generate initial annotations that human reviewers verify and correct, significantly accelerating throughput.

Scale offers structured evaluation frameworks that go beyond standard benchmarks to assess model performance on safety, accuracy, bias, and instruction-following. Human evaluators conduct adversarial testing (red-teaming) to identify failure modes, harmful outputs, and edge cases that automated metrics miss. Results are delivered as detailed evaluation reports with actionable insights for model improvement.

Scale's REST APIs and language-specific SDKs allow organizations to programmatically create labeling tasks, monitor progress, and retrieve results directly within their ML pipelines. The platform integrates with major cloud providers (AWS, GCP, Azure) and supports webhook notifications, batch processing, and custom callback configurations. This enables fully automated data labeling workflows that trigger as new training data arrives without manual intervention.

Scale maintains FedRAMP authorization and ITAR compliance for handling classified and export-controlled data, making it one of the few commercial labeling platforms approved for U.S. government and defense AI projects. The platform supports dedicated annotator pools with security clearances, isolated processing environments, and comprehensive audit trails. This compliance infrastructure extends to SOC 2 Type II certification for commercial enterprise customers as well.